|-----------------------------------------------------------------|
| Copyright (C) 2011-2020 (DRIP, DROP)
|-----------------------------------------------------------------|
| Build Version => 4.66.0 multi mode
| Build JVM (TM) => 1.8.0_112
| Build Snap => Sun Jan 26 23:00:02 EST 2020
| Start Time => Mon Jan 27 01:16:51 EST 2020
| Setup Time => Mon Jan 27 01:16:51 EST 2020
| Setup Duration => 0 ms
|-----------------------------------------------------------------|
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=357726
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=12
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=9
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=21
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=12
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=73
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=22
org.drip.analytics.curve.DiscountCurve=> 357875 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=106828
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=26
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=17
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=9
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=29
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=22
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=110083
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=47941
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=104260
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=33
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=22
org.drip.analytics.curve.CreditCurve=> 369270 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:51 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=46223
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=19
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=53
org.drip.analytics.curve.ZeroCurve=> 46295 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=370785
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=4
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=4
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=1
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=11
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=22
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=9
org.drip.analytics.curve.DiscountCurve=> 370836 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=101842
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=13
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=5
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=5
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=1
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=3
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=117383
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=42530
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=93335
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=19
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=8
org.drip.analytics.curve.CreditCurve=> 355144 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=52928
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=17
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=33
org.drip.analytics.curve.ZeroCurve=> 52978 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:52 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=396269
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=6
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=7
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=2
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=10
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=30
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=11
org.drip.analytics.curve.DiscountCurve=> 396335 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=125296
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=7
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=4
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=6
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=2
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=68
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=102253
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=57975
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=116662
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=20
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=12
org.drip.analytics.curve.CreditCurve=> 402305 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=46333
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=19
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=48
org.drip.analytics.curve.ZeroCurve=> 46400 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:53 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=417377
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=6
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=7
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=2
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=7
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=56
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=23
org.drip.analytics.curve.DiscountCurve=> 417478 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=110825
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=6
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=8
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=5
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=1
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=3
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=114388
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=49700
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=94455
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=37
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=14
org.drip.analytics.curve.CreditCurve=> 369442 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=53161
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=18
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=52
org.drip.analytics.curve.ZeroCurve=> 53231 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=436030
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=5
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=7
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=2
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=57
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=71
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=22
org.drip.analytics.curve.DiscountCurve=> 436194 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:54 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=105474
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=7
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=94
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=4
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=3
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=4
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=110918
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=47047
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=116125
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=38
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=22
org.drip.analytics.curve.CreditCurve=> 379736 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=46134
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=350
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=99
org.drip.analytics.curve.ZeroCurve=> 46583 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=376089
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=6
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=4
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=2
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=7
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=64
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=54
org.drip.analytics.curve.DiscountCurve=> 376226 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=118224
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=7
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=8
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=4
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=11
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:55 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=3
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=130010
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=56530
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=89863
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=38
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=10
org.drip.analytics.curve.CreditCurve=> 394708 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=44813
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=20
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=40
org.drip.analytics.curve.ZeroCurve=> 44873 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=355934
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=4
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=4
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=1
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=6
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=34
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=22
org.drip.analytics.curve.DiscountCurve=> 356005 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=110796
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=7
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=6
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=3
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=2
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=3
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=103993
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=41645
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=91797
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=14
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=5
org.drip.analytics.curve.CreditCurve=> 348271 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=44213
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=12
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=23
org.drip.analytics.curve.ZeroCurve=> 44248 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:56 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=350694
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=4
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=4
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=1
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=4
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=34
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=14
org.drip.analytics.curve.DiscountCurve=> 350755 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=98468
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=26
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=6
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=4
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=2
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=3
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=100518
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=42471
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=83555
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=14
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=5
org.drip.analytics.curve.CreditCurve=> 325072 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=45383
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=12
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=23
org.drip.analytics.curve.ZeroCurve=> 45418 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:57 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=352159
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=4
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=4
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=1
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=4
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=51
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=22
org.drip.analytics.curve.DiscountCurve=> 352245 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=98590
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=4
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=3
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=2
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=1
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=2
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=99426
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=41326
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=83443
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=37
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=9
org.drip.analytics.curve.CreditCurve=> 322843 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=44243
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=12
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=47
org.drip.analytics.curve.ZeroCurve=> 44302 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve starts at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromRatesInstruments.ExecTime=350444
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.Success=true
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2011]=0.9608157444936446
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2012]=0.9230658006742032
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2013]=0.8868961544914067
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2014]=0.8521437889662113
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.discountfactor[12-may-2015]=0.8187531690112055
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateFromFlatRate.ExecTime=4
org.drip.analytics.curve.DiscountCurve.BuildFromDF.Success=true
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactordfcurve[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2011]= 0.996
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2012]= 0.985
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2013]= 0.957
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2014]= 0.927
org.drip.analytics.curve.DiscountCurve.BuildFromDF.discountfactorflatrate[12-may-2015]= 0.891
org.drip.analytics.curve.DiscountCurve.BuildFromDF.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.BuildFromDF.ExecTime=4
org.drip.analytics.curve.DiscountCurve.CreateDC.Success=true
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactorateimplied[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2011]= 0.004
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2012]= 0.007
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2013]= 0.015
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2014]= 0.019
org.drip.analytics.curve.DiscountCurve.CreateDC.discountfactororiginaldc[12-may-2015]= 0.023
org.drip.analytics.curve.DiscountCurve.CreateDC.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CreateDC.ExecTime=1
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.Success=true
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2011]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2012]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2013]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2014]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisempty[12-may-2015]= 0.0400
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2011]= 0.0401
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2012]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2013]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2014]= 0.0402
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ratebasisshifted[12-may-2015]= 0.0403
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.BasisRateShiftedCurve.ExecTime=5
org.drip.analytics.curve.DiscountCurve.EffectiveDF.Success=true
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2011]= 0.9904
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2012]= 0.9686
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2013]= 0.9389
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2014]= 0.9056
org.drip.analytics.curve.DiscountCurve.EffectiveDF.effective[12-may-2015]= 0.8677
org.drip.analytics.curve.DiscountCurve.EffectiveDF.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.EffectiveDF.ExecTime=49
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.Success=true
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2011]= 0.0110
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2012]= 0.0297
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2013]= 0.0311
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2014]= 0.0397
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.impliedrate[12-may-2015]= 0.0451
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.DiscountCurve.CalcImpliedRate.ExecTime=20
org.drip.analytics.curve.DiscountCurve=> 350527 (mu-s): 7 / 11 succeeded.
org.drip.analytics.curve.DiscountCurve ends at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve starts at Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.Success=true
org.drip.analytics.curve.CreditCurve.CreateSNAC.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.CreateSNAC.ExecTime=98205
org.drip.analytics.curve.CreditCurve.FromFlatHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2011]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2012]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2013]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2014]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.hazardratefromhazardcurve[12-may-2015]= 0.0200
org.drip.analytics.curve.CreditCurve.FromFlatHazard.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FromFlatHazard.ExecTime=4
org.drip.analytics.curve.CreditCurve.FromSurvival.Success=true
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromoriginal[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2011]= 0.9000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2012]= 0.8000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2013]= 0.7000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2014]= 0.6000
org.drip.analytics.curve.CreditCurve.FromSurvival.survivalfromsurvival[12-may-2015]= 0.5000
org.drip.analytics.curve.CreditCurve.FromSurvival.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FromSurvival.ExecTime=3
org.drip.analytics.curve.CreditCurve.FromHazard.Success=true
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromhazard[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2010-12-may-2011]= 0.0090
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2011-12-may-2012]= 0.0080
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2012-12-may-2013]= 0.0070
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2013-12-may-2014]= 0.0060
org.drip.analytics.curve.CreditCurve.FromHazard.hazardfromoriginal[12-may-2014-12-may-2015]= 0.0050
org.drip.analytics.curve.CreditCurve.FromHazard.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.FromHazard.ExecTime=2
org.drip.analytics.curve.CreditCurve.CompAndQuotes.Success=true
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.1y.corp[20-jun-2011]= 50.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.2y.corp[20-jun-2012]= 100.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.3y.corp[20-jun-2013]= 150.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.4y.corp[20-jun-2014]= 200.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.compquote_cds.5y.corp[20-jun-2015]= 250.0000
org.drip.analytics.curve.CreditCurve.CompAndQuotes.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.CompAndQuotes.ExecTime=1
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2011]= 0.0083
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2012]= 0.0169
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2013]= 0.0258
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2014]= 0.0351
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.basecurvehazard[12-may-2010-20-jun-2015]= 0.0449
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2011]= 0.0088
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2012]= 0.0174
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2013]= 0.0263
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2014]= 0.0356
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.parallelshiftedcurvehazard[12-may-2010-20-jun-2015]= 0.0454
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelHazardShiftedCurve.ExecTime=1
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.Success=true
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2011]= 50.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2012]= 100.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2013]= 150.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2014]= 200.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.basecurvequote[20-jun-2015]= 250.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2011]= 55.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2012]= 105.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2013]= 155.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2014]= 205.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.parallelshiftedcurvequote[20-jun-2015]= 255.00000
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.FinishTime=Mon Jan 27 01:16:58 EST 2020
org.drip.analytics.curve.CreditCurve.ParallelQuoteShiftedCurve.ExecTime=99633
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.Success=true
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2011]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2012]= 0.00000
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2013]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2014]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.tweakedhazard[20-jun-2015]= 0.00001
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2011]= 0.00833
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2012]= 0.01690
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2013]= 0.02578
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2014]= 0.03505
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.untweakedhazard[20-jun-2015]= 0.04487
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.CreditCurve.NodeTweakedCurve.ExecTime=41502
org.drip.analytics.curve.CreditCurve.FlatCurve.Success=true
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2011]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2012]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2013]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2014]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.flathazard[12-may-2015]= 0.01498
org.drip.analytics.curve.CreditCurve.FlatCurve.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.CreditCurve.FlatCurve.ExecTime=83377
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2011]= 0.9778
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2012]= 0.9439
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2013]= 0.8943
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2014]= 0.8305
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.effectivesurvival[12-may-2015]= 0.7629
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveSurvival.ExecTime=14
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.Success=true
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[1y-2y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[2y-3y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[3y-4y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[4y-5y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.curverecovery[5y-6y]= 0.4000- 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[1y-2y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[2y-3y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[3y-4y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[4y-5y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.effectiverecovery[5y-6y]= 0.4000
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.CreditCurve.EffectiveRecovery.ExecTime=6
org.drip.analytics.curve.CreditCurve=> 322748 (mu-s): 11 / 12 succeeded.
org.drip.analytics.curve.CreditCurve ends at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.ZeroCurve starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.Success=true
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.ZeroCurve.CreateZeroCurveFromPeriods.ExecTime=45316
org.drip.analytics.curve.ZeroCurve.getZeroDF.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2011]=0.9453591669691728
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2012]=0.8868235493924537
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2013]=0.8320875646552512
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2014]=0.7814644409514604
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2015]=0.7339570583860968
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2016]=0.6898868863348788
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2017]=0.6485950148105171
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2018]=0.6103494651971445
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2019]=0.5744050069845413
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2020]=0.540486868726277
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2021]=0.5084539400371967
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2022]=0.47559493839476963
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-mar-2023]=0.4069313441716681
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2010]=0.9762269828569646
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2011]=0.9154084785211436
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2012]=0.8588426182093616
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2013]=0.8061345827025594
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2014]=0.757181128310905
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2015]=0.7114185570376885
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2016]=0.6687900276745816
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2017]=0.6289951191437723
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2018]=0.5919696956968256
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2019]=0.5571152387199033
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2020]=0.5242961339488906
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2021]=0.494216711086729
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2022]=0.47618076921368024
org.drip.analytics.curve.ZeroCurve.getZeroDF.zerodf[25-sep-2023]=0.6022794664929204
org.drip.analytics.curve.ZeroCurve.getZeroDF.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroDF.ExecTime=16
org.drip.analytics.curve.ZeroCurve.getZeroRate.Success=true
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2010]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2011]=-0.07425813881622456
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2012]=0.055269844807190084
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2013]=0.06441786082851177
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2014]=0.06473232664638341
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2015]=0.06456051974569203
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2016]=0.06427043322024331
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2017]=0.06404352526090332
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2018]=0.06372904077599872
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2019]=0.06324024899813306
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2020]=0.059559651229139025
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2021]=0.010974603994408444
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2022]=-0.6640233091295473
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-mar-2023]=-10.064388824655712
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2009]=1.0
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2010]=0.5878966264029237
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2011]=0.10315762101020018
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2012]=0.06796312275028718
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2013]=0.06518721130231139
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2014]=0.06469759638553169
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2015]=0.06442885960437045
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2016]=0.06417012564661594
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2017]=0.06391947550733557
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2018]=0.06371031801917165
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2019]=0.06444012495120544
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2020]=0.07747489454278325
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2021]=0.26100421418090397
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2022]=2.8193601696238257
org.drip.analytics.curve.ZeroCurve.getZeroRate.zerorate[25-sep-2023]=38.4563358903995
org.drip.analytics.curve.ZeroCurve.getZeroRate.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.curve.ZeroCurve.getZeroRate.ExecTime=43
org.drip.analytics.curve.ZeroCurve=> 45375 (mu-s): 3 / 3 succeeded.
org.drip.analytics.curve.ZeroCurve ends at Mon Jan 27 01:16:59 EST 2020
|-----------------------------------------------------------------|
| Copyright (C) 2011-2020 (DRIP, DROP)
|-----------------------------------------------------------------|
| Build Version => 4.66.0 multi mode
| Build JVM (TM) => 1.8.0_112
| Build Snap => Sun Jan 26 23:00:02 EST 2020
| Start Time => Mon Jan 27 01:16:59 EST 2020
| Setup Time => Mon Jan 27 01:16:59 EST 2020
| Setup Duration => 0 ms
|-----------------------------------------------------------------|
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=669
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 669 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=706
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 706 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=592
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 592 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:16:59 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=728
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 728 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=582
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 582 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=684
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 684 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:00 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=654
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 654 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=669
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 669 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:01 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=884
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 884 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=3282
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 3282 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=579
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 579 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:02 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=661
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 661 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=1263
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 1263 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:03 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=727
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 727 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=629
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 629 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=736
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 736 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:04 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=576
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 576 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=1262
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 1262 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.Success=true
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.comppvdfjacobian=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
Wengert{4} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
Wengert{5} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
Wengert{6} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jul-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, -0.082]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->07-jun-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, -0.082, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->08-may-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, -0.044, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->09-apr-2011}=Wengert{0} => [-0.003, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->10-apr-2011}=Wengert{0} => [-0.003, -0.003, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->15-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.pvdfmicrojack_deposit::usd-libor-3m::{08-apr-2011->22-apr-2011}=Wengert{0} => [-0.003, -0.003, -0.014, -0.019, 0.000, 0.000, 0.000]
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.FinishTime=Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian.CashJacobian.ExecTime=672
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian=> 672 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.CashDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:05 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:06 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:06 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.Success=true
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.comppvdfjacobian=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
Wengert{4} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
Wengert{5} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
Wengert{6} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
Wengert{7} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_0=Wengert{0} => [-0.252, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_1=Wengert{0} => [ 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_2=Wengert{0} => [-0.000, 0.000, -0.249, 0.000, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_3=Wengert{0} => [ 0.000, 0.000, 0.000, -0.252, 0.000, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_4=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, -0.251, 0.000, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_5=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, -0.248, 0.000, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_6=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, -0.246, 0.000]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.pvdfmicrojack_future_7=Wengert{0} => [ 0.000, -0.000, -0.000, 0.000, 0.000, -0.000, 0.000, -0.251]
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.FinishTime=Mon Jan 27 01:17:06 EST 2020
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian.EDFJacobian.ExecTime=639
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian=> 639 (mu-s): 1 / 1 succeeded.
org.drip.analytics.definition.EDFDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:06 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian starts at Mon Jan 27 01:17:06 EST 2020
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian=> 0 (mu-s): 0 / 1 succeeded.
org.drip.analytics.definition.IRSDiscountCurve.CompPVDFJacobian ends at Mon Jan 27 01:17:06 EST 2020
--------
Stats for org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian
--------
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.NumRuns=10
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.ExecTimeMean=714
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.ExecTimeMaximum=1263
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.ExecTimeMinimum=576
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.ExecTimeVariance=214
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.InitializationDelay=-45
org.drip.analytics.definition.cashdiscountcurve.comppvdfjacobian.cashjacobian.Stat.ExecTimeList=[669, 592, 582, 654, 884, 579, 1263, 629, 576, 672]
--------
Stats for org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian
--------
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.NumRuns=10
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.ExecTimeMean=1043
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.ExecTimeMaximum=3282
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.ExecTimeMinimum=639
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.ExecTimeVariance=811
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.InitializationDelay=-337
org.drip.analytics.definition.edfdiscountcurve.comppvdfjacobian.edfjacobian.Stat.ExecTimeList=[706, 728, 684, 669, 3282, 661, 727, 736, 1262, 639]
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 27 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 47 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 414 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 23 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 90 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 457 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 33 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 138 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 392 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 52 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 180 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 530 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 29 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 58 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 334 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 25 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 73 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 632 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 38 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 75 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 221 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 54 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 95 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 284 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 116 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 135 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 466 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderNewton=> 62 (mu-s): 1 / 1 succeeded.
org.drip.math.solver1D.FixedPointFinderNewton ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderCompound=> 70 (mu-s): 2 / 2 succeeded.
org.drip.math.solver1D.FixedPointFinderCompound ends at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive starts at Mon Jan 27 01:17:06 EST 2020
org.drip.math.solver1D.FixedPointFinderPrimitive=> 325 (mu-s): 5 / 5 succeeded.
org.drip.math.solver1D.FixedPointFinderPrimitive ends at Mon Jan 27 01:17:06 EST 2020
--------
Stats for org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.ExecTimeMean=60
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.ExecTimeMaximum=101
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.ExecTimeMinimum=31
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.ExecTimeVariance=21
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.InitializationDelay=-26
org.drip.math.solver1d.fixedpointfindercompound.brentfixedpointfinder.Stat.ExecTimeList=[34, 67, 101, 85, 31, 47, 44, 50, 74, 43]
--------
Stats for org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.ExecTimeMean=41
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.ExecTimeMaximum=95
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.ExecTimeMinimum=13
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.ExecTimeVariance=22
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.InitializationDelay=-28
org.drip.math.solver1d.fixedpointfindercompound.zhengfixedpointfinder.Stat.ExecTimeList=[13, 23, 37, 95, 27, 26, 31, 45, 61, 27]
--------
Stats for org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.ExecTimeMean=48
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.ExecTimeMaximum=116
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.ExecTimeMinimum=23
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.ExecTimeVariance=27
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.InitializationDelay=-21
org.drip.math.solver1d.fixedpointfindernewton.newtonfixedpointfinder.Stat.ExecTimeList=[27, 23, 33, 52, 29, 25, 38, 54, 116, 62]
--------
Stats for org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.ExecTimeMean=91
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.ExecTimeMaximum=170
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.ExecTimeMinimum=30
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.ExecTimeVariance=51
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.InitializationDelay=-61
org.drip.math.solver1d.fixedpointfinderprimitive.bisectionfixedpointfinder.Stat.ExecTimeList=[30, 71, 170, 151, 54, 54, 35, 79, 164, 43]
--------
Stats for org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.ExecTimeMean=68
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.ExecTimeMaximum=280
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.ExecTimeMinimum=22
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.ExecTimeVariance=76
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.InitializationDelay=5
org.drip.math.solver1d.fixedpointfinderprimitive.falsepositionfixedpointfinder.Stat.ExecTimeList=[73, 68, 23, 60, 32, 280, 37, 29, 62, 22]
--------
Stats for org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.ExecTimeMean=23
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.ExecTimeMaximum=43
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.ExecTimeMinimum=14
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.ExecTimeVariance=8
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.InitializationDelay=20
org.drip.math.solver1d.fixedpointfinderprimitive.inversequadraticfixedpointfinder.Stat.ExecTimeList=[43, 30, 17, 40, 28, 28, 16, 14, 22, 17]
--------
Stats for org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.ExecTimeMean=57
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.ExecTimeMaximum=97
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.ExecTimeMinimum=27
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.ExecTimeVariance=22
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.InitializationDelay=28
org.drip.math.solver1d.fixedpointfinderprimitive.quadraticfixedpointfinder.Stat.ExecTimeList=[85, 65, 34, 89, 52, 54, 63, 27, 97, 35]
--------
Stats for org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder
--------
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.NumRuns=10
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.ExecTimeMean=164
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.ExecTimeMaximum=223
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.ExecTimeMinimum=70
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.ExecTimeVariance=47
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.InitializationDelay=19
org.drip.math.solver1d.fixedpointfinderprimitive.ridderfixedpointfinder.Stat.ExecTimeList=[183, 223, 148, 190, 168, 216, 70, 135, 121, 208]
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=58
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=472
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=239
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=642
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=489
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=385
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=875
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=603
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=457
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=358
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=1191
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=847
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=700
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=581
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=734
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=1390
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=1011
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=867
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=938
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998408
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=1140
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=873
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.99999999999996
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=225
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999968
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=197
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=247
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=662
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=640
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=278
PolynomialSplineRegressor=> 17099 (mu-s): 27 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=33
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=237
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=102
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=417
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=334
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=169
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=638
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=420
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=275
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=221
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=959
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=807
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=596
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=524
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=460
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=1397
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=962
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=1006
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000007
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=791
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.99999999999909
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=785
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=719
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.249999999999975
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999956
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=129
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999982
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=217
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=440
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=483
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=177
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=71
PolynomialSplineRegressor=> 13369 (mu-s): 27 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=86
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=226
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=116
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=376
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=308
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=220
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=550
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=481
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=431
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=353
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=905
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=707
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=509
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.000000000000007
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=470
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=404
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=839
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=711
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=786
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=599
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998408
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=537
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=541
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999998
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999954
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=86
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999975
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=112
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=223
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=317
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=123
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=86
PolynomialSplineRegressor=> 11102 (mu-s): 27 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=59
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=96
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=42
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=221
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=137
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=125
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=341
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=289
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=212
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=173
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=524
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=462
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=403
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=361
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=313
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=769
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=699
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=633
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=724
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998408
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=729
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=673
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.99999999999996
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=240
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999986
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=334
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=200
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=256
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=86
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=86
PolynomialSplineRegressor=> 9187 (mu-s): 27 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=30
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=99
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=57
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=228
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=164
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=137
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=434
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=383
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=325
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=346
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=790
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=572
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=489
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=452
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=486
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=875
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=792
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=741
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=698
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998408
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=737
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=701
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.249999999999975
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999947
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=153
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999968
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=170
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=184
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=327
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=140
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=1820
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=76
PolynomialSplineRegressor=> 12406 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=674
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=96
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=100
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=237
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=163
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=102
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=361
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=300
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=250
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=201
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=655
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=562
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=474
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.000000000000007
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=417
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=350
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=987
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=870
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=789
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000021
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=730
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998863
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=646
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=607
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999956
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=99
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999972
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=160
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=214
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=240
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=90
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=350
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=252
PolynomialSplineRegressor=> 10976 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=37
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=141
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=63
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=255
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=194
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=113
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=428
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=383
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=274
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=13.999999999999996
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=190
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=692
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=616
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=516
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=478
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=407
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=1035
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=771
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=727
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=699
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998863
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=632
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=597
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.249999999999968
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.99999999999995
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=145
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999975
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=155
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=140
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=209
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=99
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=273
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=175
PolynomialSplineRegressor=> 10444 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=24
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=183
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=43
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=240
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=124
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=86
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=315
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=259
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=208
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=240
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=519
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=450
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=396
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.000000000000007
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=355
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=300
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=772
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=833
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=641
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=597
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998636
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=538
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=498
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999961
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=122
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999986
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=135
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=139
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=232
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=58
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=251
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=52
PolynomialSplineRegressor=> 8610 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=19
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=90
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=38
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=222
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=124
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=85
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=321
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=257
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=210
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=164
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=517
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=447
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=398
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=360
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=299
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=765
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=685
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=625
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=584
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998636
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=528
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=485
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.99999999999995
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=99
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999975
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=106
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=160
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=188
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=63
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=244
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=59
PolynomialSplineRegressor=> 8142 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=19
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=93
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=44
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=220
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=127
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=86
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=316
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=266
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=208
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=164
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=521
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=448
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=392
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=359
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=307
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=769
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=683
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=622
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=584
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999998408
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=527
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=501
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.249999999999975
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.99999999999996
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=86
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999982
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=160
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=216
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=345
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=100
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=339
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=308
PolynomialSplineRegressor=> 8810 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=33
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=162
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=94
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=292
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=205
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=513
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=515
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=423
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=307
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=235
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=550
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=462
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=401
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=363
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.000000000000455
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=310
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=793
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=694
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=638
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=587
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.99999999999909
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=536
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=493
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999968
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=72
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999964
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=77
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=134
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=201
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=72
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=265
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=49
PolynomialSplineRegressor=> 9476 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor starts at Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.Success=true
PolynomialSplineRegressor.N2Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N2Ck0._seg1_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_3_0=20.25
PolynomialSplineRegressor.N2Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N2Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000]
Wengert{1} => [-1.000, 1.000]
PolynomialSplineRegressor.N2Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N2Ck0._seg2_value_jack=Wengert{0} => [ 0.273, 0.545]
PolynomialSplineRegressor.N2Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N2Ck0.ExecTime=18
PolynomialSplineRegressor.N3Ck0.Success=true
PolynomialSplineRegressor.N3Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck0._seg1_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -1.110]
Wengert{2} => [-0.027, -0.973, 1.110]
PolynomialSplineRegressor.N3Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_3_0=20.249999999999993
PolynomialSplineRegressor.N3Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [-0.973, 1.973, -3.747]
Wengert{2} => [-0.027, -0.973, 3.747]
PolynomialSplineRegressor.N3Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck0._seg2_value_jack=Wengert{0} => [ 0.278, 0.722, -0.681]
PolynomialSplineRegressor.N3Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck0.ExecTime=90
PolynomialSplineRegressor.N3Ck1.Success=true
PolynomialSplineRegressor.N3Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N3Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000]
Wengert{2} => [-2.000, 1.000, -2.000]
PolynomialSplineRegressor.N3Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N3Ck1._seg2_6_0=14.0
PolynomialSplineRegressor.N3Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000]
Wengert{2} => [-2.000, 1.000, -3.000]
PolynomialSplineRegressor.N3Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N3Ck1._seg2_value_jack=Wengert{0} => [ 0.636, 0.364, 0.545]
PolynomialSplineRegressor.N3Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N3Ck1.ExecTime=35
PolynomialSplineRegressor.N4Ck0.Success=true
PolynomialSplineRegressor.N4Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck0._seg1_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -5.677, 3.425]
Wengert{2} => [-2.000, 1.000, 10.368, -6.943]
Wengert{3} => [ 1.000, -1.000, -4.692, 3.519]
PolynomialSplineRegressor.N4Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_3_0=20.24999999999999
PolynomialSplineRegressor.N4Ck0._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -19.159, 11.559]
Wengert{2} => [-2.000, 1.000, 34.993, -23.434]
Wengert{3} => [ 1.000, -1.000, -15.834, 11.875]
PolynomialSplineRegressor.N4Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -1.564, 0.662]
PolynomialSplineRegressor.N4Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck0.ExecTime=210
PolynomialSplineRegressor.N4Ck1.Success=true
PolynomialSplineRegressor.N4Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck1._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-3.826, 2.826, -3.653, -0.688]
Wengert{3} => [ 1.826, -1.826, 1.653, 0.688]
PolynomialSplineRegressor.N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck1._seg2_6_0=14.000000000000004
PolynomialSplineRegressor.N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-3.826, 2.826, -5.479, -2.323]
Wengert{3} => [ 1.826, -1.826, 2.479, 2.323]
PolynomialSplineRegressor.N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck1._seg2_value_jack=Wengert{0} => [ 0.415, 0.585, 0.245, -0.282]
PolynomialSplineRegressor.N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck1.ExecTime=120
PolynomialSplineRegressor.N4Ck2.Success=true
PolynomialSplineRegressor.N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000]
Wengert{3} => [-1.000, 1.000, -4.000, -2.000]
PolynomialSplineRegressor.N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N4Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500]
Wengert{3} => [-1.000, 1.000, -6.000, -4.500]
PolynomialSplineRegressor.N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N4Ck2.ExecTime=94
PolynomialSplineRegressor.N5Ck0.Success=true
PolynomialSplineRegressor.N5Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, -4.273, -0.388, 2.074]
Wengert{2} => [-2.000, 1.000, 17.657, -26.737, 10.767]
Wengert{3} => [ 1.000, -1.000, -22.076, 50.733, -25.681]
Wengert{4} => [-0.000, 0.000, 8.692, -23.607, 12.841]
PolynomialSplineRegressor.N5Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N5Ck0._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -14.420, -1.311, 7.000]
Wengert{2} => [-2.000, 1.000, 59.591, -90.239, 36.337]
Wengert{3} => [ 1.000, -1.000, -74.508, 171.225, -86.675]
Wengert{4} => [ 0.000, -0.000, 29.337, -79.675, 43.337]
PolynomialSplineRegressor.N5Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.483, -4.897, 3.024]
PolynomialSplineRegressor.N5Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck0.ExecTime=311
PolynomialSplineRegressor.N5Ck1.Success=true
PolynomialSplineRegressor.N5Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck1._seg1_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -8.265, -28.343, 19.338]
Wengert{3} => [ 6.167, -6.167, 10.334, 52.740, -36.398]
Wengert{4} => [-2.034, 2.034, -4.069, -24.398, 17.060]
PolynomialSplineRegressor.N5Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.N5Ck1._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N5Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-6.132, 5.132, -12.397, -95.657, 65.266]
Wengert{3} => [ 6.167, -6.167, 15.501, 177.999, -122.844]
Wengert{4} => [-2.034, 2.034, -6.103, -82.342, 57.579]
PolynomialSplineRegressor.N5Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck1._seg2_value_jack=Wengert{0} => [ 0.300, 0.700, -0.100, -4.941, 3.258]
PolynomialSplineRegressor.N5Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck1.ExecTime=261
PolynomialSplineRegressor.N5Ck2.Success=true
PolynomialSplineRegressor.N5Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [-3.384, 3.384, -8.767, -3.722, -0.414]
Wengert{4} => [ 2.384, -2.384, 4.767, 1.722, 0.414]
PolynomialSplineRegressor.N5Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N5Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [-3.384, 3.384, -13.151, -8.374, -1.398]
Wengert{4} => [ 2.384, -2.384, 7.151, 3.874, 1.398]
PolynomialSplineRegressor.N5Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck2._seg2_value_jack=Wengert{0} => [ 0.565, 0.435, 0.695, 0.232, -0.113]
PolynomialSplineRegressor.N5Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck2.ExecTime=208
PolynomialSplineRegressor.N5Ck3.Success=true
PolynomialSplineRegressor.N5Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N5Ck3._seg1_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333]
Wengert{4} => [-1.002, 1.000, -2.000, -4.000, -1.333]
PolynomialSplineRegressor.N5Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_3_0=20.25
PolynomialSplineRegressor.N5Ck3._seg2_6_0=13.999999999999998
PolynomialSplineRegressor.N5Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500]
Wengert{4} => [-1.002, 1.000, -3.000, -9.000, -4.500]
PolynomialSplineRegressor.N5Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N5Ck3._seg2_value_jack=Wengert{0} => [ 0.839, 0.162, 1.515, 1.273, 0.364]
PolynomialSplineRegressor.N5Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N5Ck3.ExecTime=161
PolynomialSplineRegressor.N6Ck0.Success=true
PolynomialSplineRegressor.N6Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck0._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.726, -3.696, 6.532, -1.783]
Wengert{2} => [-2.000, 1.000, 21.678, -51.052, 43.535, -13.107]
Wengert{3} => [ 1.000, -1.000, -43.631, 181.070, -201.329, 70.259]
Wengert{4} => [-0.000, 0.000, 37.003, -194.798, 243.545, -92.282]
Wengert{5} => [ 0.000, -0.000, -11.324, 68.476, -92.282, 36.913]
PolynomialSplineRegressor.N6Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_3_0=20.249999999999996
PolynomialSplineRegressor.N6Ck0._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.574, -12.475, 22.045, -6.018]
Wengert{2} => [-2.000, 1.000, 73.162, -172.302, 146.929, -44.237]
Wengert{3} => [ 1.000, -1.000, -147.254, 611.112, -679.487, 237.125]
Wengert{4} => [-0.000, 0.000, 124.884, -657.442, 821.963, -311.450]
Wengert{5} => [ 0.000, -0.000, -38.219, 231.107, -311.450, 124.580]
PolynomialSplineRegressor.N6Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, 0.113, -2.664, 0.015, 1.204]
PolynomialSplineRegressor.N6Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck0.ExecTime=518
PolynomialSplineRegressor.N6Ck1.Success=true
PolynomialSplineRegressor.N6Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck1._seg1_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -11.637, -72.559, 81.540, -23.482]
Wengert{3} => [ 12.711, -12.711, 23.422, 224.355, -277.822, 91.140]
Wengert{4} => [-9.932, 9.932, -19.864, -231.508, 308.418, -109.991]
Wengert{5} => [ 3.040, -3.040, 6.079, 79.711, -112.135, 42.332]
PolynomialSplineRegressor.N6Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_3_0=20.249999999999886
PolynomialSplineRegressor.N6Ck1._seg2_6_0=14.000000000000867
PolynomialSplineRegressor.N6Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-7.819, 6.819, -17.456, -244.885, 275.196, -79.251]
Wengert{3} => [ 12.711, -12.711, 35.133, 757.200, -937.650, 307.598]
Wengert{4} => [-9.932, 9.932, -29.796, -781.338, 1040.910, -371.218]
Wengert{5} => [ 3.040, -3.040, 9.119, 269.024, -378.456, 142.871]
PolynomialSplineRegressor.N6Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck1._seg2_value_jack=Wengert{0} => [ 0.324, 0.676, -0.027, -2.777, 0.214, 1.149]
PolynomialSplineRegressor.N6Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck1.ExecTime=452
PolynomialSplineRegressor.N6Ck2.Success=true
PolynomialSplineRegressor.N6Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck2._seg1_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -18.745, -6.184, -25.697, 18.533]
Wengert{4} => [ 11.823, -11.823, 23.647, 6.381, 48.255, -35.069]
Wengert{5} => [-4.451, 4.451, -8.902, -2.197, -22.558, 16.536]
PolynomialSplineRegressor.N6Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_3_0=20.25000000000064
PolynomialSplineRegressor.N6Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [-8.372, 8.372, -28.117, -13.914, -86.727, 62.549]
Wengert{4} => [ 11.823, -11.823, 35.470, 14.358, 162.860, -118.357]
Wengert{5} => [-4.451, 4.451, -13.353, -4.944, -76.133, 55.808]
PolynomialSplineRegressor.N6Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck2._seg2_value_jack=Wengert{0} => [ 0.402, 0.598, 0.205, 0.051, -2.907, 2.048]
PolynomialSplineRegressor.N6Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck2.ExecTime=388
PolynomialSplineRegressor.N6Ck3.Success=true
PolynomialSplineRegressor.N6Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck3._seg1_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-3.903, 3.899, -7.797, -8.987, -2.504, -0.267]
Wengert{5} => [ 2.901, -2.899, 5.797, 4.987, 1.170, 0.267]
PolynomialSplineRegressor.N6Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_3_0=20.250000000000018
PolynomialSplineRegressor.N6Ck3._seg2_6_0=14.00000000000001
PolynomialSplineRegressor.N6Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-3.903, 3.899, -11.696, -20.221, -8.450, -0.900]
Wengert{5} => [ 2.901, -2.899, 8.696, 11.221, 3.950, 0.900]
PolynomialSplineRegressor.N6Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck3._seg2_value_jack=Wengert{0} => [ 0.682, 0.318, 1.047, 0.668, 0.151, -0.048]
PolynomialSplineRegressor.N6Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck3.ExecTime=355
PolynomialSplineRegressor.N6Ck4.Success=true
PolynomialSplineRegressor.N6Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N6Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667]
Wengert{5} => [ 109.642, 1.000, -2.004, -2.000, -2.667, -0.667]
PolynomialSplineRegressor.N6Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N6Ck4._seg2_6_0=14.0
PolynomialSplineRegressor.N6Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375]
Wengert{5} => [ 109.642, 1.000, -3.007, -4.500, -9.000, -3.375]
PolynomialSplineRegressor.N6Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N6Ck4._seg2_value_jack=Wengert{0} => [-5.068, 0.108, 1.677, 1.515, 0.848, 0.182]
PolynomialSplineRegressor.N6Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N6Ck4.ExecTime=300
PolynomialSplineRegressor.N7Ck0.Success=true
PolynomialSplineRegressor.N7Ck0._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck0._seg1_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -3.617, -9.425, 22.905, -17.971, 5.396]
Wengert{2} => [-2.000, 1.000, 22.098, -73.131, 106.641, -75.500, 20.798]
Wengert{3} => [ 1.000, -1.000, -60.090, 1046.450, -2674.806, 2515.743, -815.161]
Wengert{4} => [-0.000, 0.000, 83.736, -2651.901, 7266.572, -7035.829, 2314.516]
Wengert{5} => [ 0.000, -0.000, -57.529, 2497.772, -7035.829, 6901.879, -2288.322]
Wengert{6} => [-0.000, 0.000, 15.401, -809.765, 2314.516, -2288.322, 762.774]
PolynomialSplineRegressor.N7Ck0._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_3_0=20.249999999999563
PolynomialSplineRegressor.N7Ck0._seg2_6_0=13.999999999999392
PolynomialSplineRegressor.N7Ck0._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [-0.000, 1.000, -12.206, -31.808, 77.305, -60.653, 18.212]
Wengert{2} => [-2.000, 1.000, 74.579, -246.818, 359.915, -254.812, 70.192]
Wengert{3} => [ 1.000, -1.000, -202.804, 3531.769, -9027.470, 8490.633, -2751.169]
Wengert{4} => [-0.000, 0.000, 282.609, -8950.165, 24524.682, -23745.922, 7811.491]
Wengert{5} => [ 0.000, -0.000, -194.159, 8429.980, -23745.922, 23293.841, -7723.087]
Wengert{6} => [-0.000, 0.000, 51.980, -2732.958, 7811.491, -7723.087, 2574.362]
PolynomialSplineRegressor.N7Ck0._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck0._seg2_value_jack=Wengert{0} => [ 0.333, 0.667, -0.214, 14.567, -49.237, 49.897, -16.231]
PolynomialSplineRegressor.N7Ck0.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck0.ExecTime=760
PolynomialSplineRegressor.N7Ck1.Success=true
PolynomialSplineRegressor.N7Ck1._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck1._seg1_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -12.220, -130.715, 246.591, -185.303, 53.767]
Wengert{3} => [ 17.615, -17.615, 33.229, 1203.038, -3055.370, 2814.330, -904.815]
Wengert{4} => [-23.153, 23.153, -46.305, -2870.107, 7796.893, -7451.914, 2439.450]
Wengert{5} => [ 15.906, -15.906, 31.813, 2647.685, -7400.171, 7187.738, -2374.155]
Wengert{6} => [-4.258, 4.258, -8.517, -849.900, 2412.057, -2364.852, 785.753]
PolynomialSplineRegressor.N7Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_3_0=20.249999999985732
PolynomialSplineRegressor.N7Ck1._seg2_6_0=14.000000000006366
PolynomialSplineRegressor.N7Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-8.110, 7.110, -18.330, -441.164, 832.244, -625.397, 181.464]
Wengert{3} => [ 17.615, -17.615, 49.844, 4060.252, -10311.873, 9498.364, -3053.752]
Wengert{4} => [-23.153, 23.153, -69.458, -9686.613, 26314.513, -25150.208, 8233.143]
Wengert{5} => [ 15.906, -15.906, 47.719, 8935.936, -24975.577, 24258.617, -8012.772]
Wengert{6} => [-4.258, 4.258, -12.775, -2868.412, 8140.692, -7981.376, 2651.916]
PolynomialSplineRegressor.N7Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck1._seg2_value_jack=Wengert{0} => [ 0.351, 0.649, 0.053, 15.125, -50.593, 50.962, -16.551]
PolynomialSplineRegressor.N7Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck1.ExecTime=705
PolynomialSplineRegressor.N7Ck2.Success=true
PolynomialSplineRegressor.N7Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck2._seg1_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -97.643, -18.407, -785.870, 1108.894, -409.969]
Wengert{4} => [ 132.959, -132.959, 265.919, 43.914, 2382.508, -3383.225, 1258.886]
Wengert{5} => [-128.107, 128.107, -256.215, -40.511, -2405.381, 3434.358, -1285.081]
Wengert{6} => [ 41.970, -41.970, 83.939, 13.004, 808.743, -1160.027, 436.163]
PolynomialSplineRegressor.N7Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_3_0=20.25000000021339
PolynomialSplineRegressor.N7Ck2._seg2_6_0=14.000000000130285
PolynomialSplineRegressor.N7Ck2._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [-47.821, 47.821, -146.464, -41.416, -2652.311, 3742.517, -1383.646]
Wengert{4} => [ 132.959, -132.959, 398.878, 98.806, 8040.965, -11418.384, 4248.742]
Wengert{5} => [-128.107, 128.107, -384.322, -91.149, -8118.160, 11590.959, -4337.147]
Wengert{6} => [ 41.970, -41.970, 125.909, 29.259, 2729.507, -3915.091, 1472.051]
PolynomialSplineRegressor.N7Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck2._seg2_value_jack=Wengert{0} => [ 0.107, 0.893, -0.679, -0.154, -22.060, 29.520, -10.329]
PolynomialSplineRegressor.N7Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck2.ExecTime=618
PolynomialSplineRegressor.N7Ck3.Success=true
PolynomialSplineRegressor.N7Ck3._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck3._seg1_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -24.040, -17.954, -4.042, -21.411, 15.990]
Wengert{5} => [ 18.271, -18.264, 36.528, 21.951, 4.081, 40.270, -30.252]
Wengert{6} => [-7.246, 7.244, -14.487, -7.997, -1.372, -18.859, 14.262]
PolynomialSplineRegressor.N7Ck3._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_3_0=20.250000000000014
PolynomialSplineRegressor.N7Ck3._seg2_6_0=14.000000000000014
PolynomialSplineRegressor.N7Ck3._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-12.027, 12.020, -36.060, -40.396, -13.643, -72.262, 53.968]
Wengert{5} => [ 18.271, -18.264, 54.791, 49.389, 13.774, 135.911, -102.102]
Wengert{6} => [-7.246, 7.244, -21.731, -17.994, -4.631, -63.649, 48.134]
PolynomialSplineRegressor.N7Ck3._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck3._seg2_value_jack=Wengert{0} => [ 0.505, 0.495, 0.515, 0.228, 0.037, -1.607, 1.179]
PolynomialSplineRegressor.N7Ck3.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck3.ExecTime=580
PolynomialSplineRegressor.N7Ck4.Success=true
PolynomialSplineRegressor.N7Ck4._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck4._seg1_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 203.749, 4.344, -8.696, -8.055, -6.029, -1.254, -0.178]
Wengert{6} => [-94.108, -3.344, 6.691, 6.055, 3.363, 0.587, 0.178]
PolynomialSplineRegressor.N7Ck4._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_3_0=20.250000000000455
PolynomialSplineRegressor.N7Ck4._seg2_6_0=13.999999999997499
PolynomialSplineRegressor.N7Ck4._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 203.749, 4.344, -13.044, -18.123, -20.349, -6.348, -0.599]
Wengert{6} => [-94.108, -3.344, 10.037, 13.623, 11.349, 2.973, 0.599]
PolynomialSplineRegressor.N7Ck4._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck4._seg2_value_jack=Wengert{0} => [-1.688, 0.228, 1.317, 1.026, 0.441, 0.075, -0.022]
PolynomialSplineRegressor.N7Ck4.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck4.ExecTime=529
PolynomialSplineRegressor.N7Ck5.Success=true
PolynomialSplineRegressor.N7Ck5._seg1_1_0=25.0
PolynomialSplineRegressor.N7Ck5._seg1_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 2.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 2.000, 2.000, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -2.000, 2.000, 1.333, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.004, -2.000, 1.333, 0.667, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -221.288, 0.004, -1.333, 0.667, 0.267]
Wengert{6} => [-2312625.694, 1.000, 219.283, -2.004, -1.333, -1.333, -0.267]
PolynomialSplineRegressor.N7Ck5._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_3_0=20.25000000745058
PolynomialSplineRegressor.N7Ck5._seg2_6_0=14.0
PolynomialSplineRegressor.N7Ck5._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 3.000, 0.000, 0.000, 0.000, 0.000]
Wengert{2} => [-1.000, 0.000, 3.000, 4.500, 0.000, 0.000, 0.000]
Wengert{3} => [ 0.002, 0.000, -3.000, 4.500, 4.500, 0.000, 0.000]
Wengert{4} => [-110.644, 0.000, 0.007, -4.500, 4.500, 3.375, 0.000]
Wengert{5} => [ 2312735.336, 0.000, -331.931, 0.010, -4.500, 3.375, 2.025]
Wengert{6} => [-2312625.694, 1.000, 328.925, -4.510, -4.500, -6.750, -2.025]
PolynomialSplineRegressor.N7Ck5._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.N7Ck5._seg2_value_jack=Wengert{0} => [ 83052.196, 0.072, -10.136, 1.677, 1.010, 0.424, 0.073]
PolynomialSplineRegressor.N7Ck5.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.N7Ck5.ExecTime=477
PolynomialSplineRegressor.ExpTension.Success=true
PolynomialSplineRegressor.ExpTension._seg1_1_0=24.999999999999986
PolynomialSplineRegressor.ExpTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.ExpTension._seg1_head_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_jack=Wengert{0} => [ 3.000, 0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-3.608, 2.854, -9.907, -4.200]
Wengert{3} => [ 1.608, -2.854, 13.907, 8.200]
PolynomialSplineRegressor.ExpTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_3_0=20.24999999999997
PolynomialSplineRegressor.ExpTension._seg2_6_0=13.999999999999936
PolynomialSplineRegressor.ExpTension._seg2_head_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_jack=Wengert{0} => [ 3.000, 0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-3.608, 2.854, -14.861, -9.449]
Wengert{3} => [ 1.608, -2.854, 20.861, 18.449]
PolynomialSplineRegressor.ExpTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.ExpTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.ExpTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.ExpTension.ExecTime=60
PolynomialSplineRegressor.HyperTension.Success=true
PolynomialSplineRegressor.HyperTension._seg1_1_0=24.999999999999993
PolynomialSplineRegressor.HyperTension._seg1_3_0=20.249999999999996
PolynomialSplineRegressor.HyperTension._seg1_head_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_jack=Wengert{0} => [ 3.000, -0.000, -4.000, -4.000]
Wengert{1} => [ 6.216, -5.708, 25.814, 12.399]
Wengert{2} => [-2.000, 0.000, 4.000, 4.000]
Wengert{3} => [-5.216, 5.708, -23.814, -12.399]
PolynomialSplineRegressor.HyperTension._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_3_0=20.249999999999986
PolynomialSplineRegressor.HyperTension._seg2_6_0=13.999999999999986
PolynomialSplineRegressor.HyperTension._seg2_head_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_jack=Wengert{0} => [ 3.000, -0.000, -6.000, -9.000]
Wengert{1} => [ 6.216, -5.708, 38.722, 27.898]
Wengert{2} => [-2.000, 0.000, 6.000, 9.000]
Wengert{3} => [-5.216, 5.708, -35.722, -27.898]
PolynomialSplineRegressor.HyperTension._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.HyperTension._seg2_value_jack=Wengert{0} => [ 0.771, 0.236, 1.293, 0.545]
PolynomialSplineRegressor.HyperTension.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.HyperTension.ExecTime=60
PolynomialSplineRegressor.KP.Success=true
PolynomialSplineRegressor.KP._seg1_1_0=25.0
PolynomialSplineRegressor.KP._seg1_3_0=20.25
PolynomialSplineRegressor.KP._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 2.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 6.000, 2.000]
PolynomialSplineRegressor.KP._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_3_0=20.25
PolynomialSplineRegressor.KP._seg2_6_0=14.0
PolynomialSplineRegressor.KP._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 0.000, 1.000, 0.000, 0.000]
Wengert{2} => [ 2.000, -1.000, 3.000, 0.000]
Wengert{3} => [ 3.000, -2.000, 9.000, 4.500]
PolynomialSplineRegressor.KP._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.KP._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.KP.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.KP.ExecTime=124
PolynomialSplineRegressor.Bern_N4Ck2.Success=true
PolynomialSplineRegressor.Bern_N4Ck2._seg1_1_0=25.0
PolynomialSplineRegressor.Bern_N4Ck2._seg1_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg1_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 4.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 12.000, 4.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_3_0=20.25
PolynomialSplineRegressor.Bern_N4Ck2._seg2_6_0=14.0
PolynomialSplineRegressor.Bern_N4Ck2._seg2_head_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_jack=Wengert{0} => [ 6.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 8.000, 0.000, 6.000, 0.000]
Wengert{2} => [ 8.000, 0.000, 18.000, 9.000]
Wengert{3} => [ 0.000, 6.000, 0.000, 0.000]
PolynomialSplineRegressor.Bern_N4Ck2._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Bern_N4Ck2._seg2_value_jack=Wengert{0} => [ 0.758, 0.242, 1.273, 0.545]
PolynomialSplineRegressor.Bern_N4Ck2.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Bern_N4Ck2.ExecTime=216
PolynomialSplineRegressor.Hermite_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_0_0=1.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg1_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_1_0=4.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_2_0=14.0
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_head_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000]
Wengert{1} => [ 1.000, 0.000, 1.000, 0.000]
Wengert{2} => [-5.000, 4.000, -2.000, -1.000]
Wengert{3} => [ 3.000, -3.000, 1.000, 1.000]
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_monotone=MONOTONIC
PolynomialSplineRegressor.Hermite_N4Ck1._seg2_value_jack=Wengert{0} => [ 0.500, 0.500, 0.100, -0.100]
PolynomialSplineRegressor.Hermite_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_N4Ck1.ExecTime=81
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.Success=true
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0= 1.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5= 2.20 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0= 4.00 | MINIMA
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5= 8.70 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0= 15.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5= 26.10 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.500, 0.500, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0= 40.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5= 70.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0= 85.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_c1_bessel_hermite_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_cardinal_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_catmull_rom_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.0_jack=Wengert{0} => [ 1.000, 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_0.5_jack=Wengert{0} => [ 0.500, 0.500, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.0_jack=Wengert{0} => [ 0.000, 1.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_1.5_jack=Wengert{0} => [ 0.000, 0.500, 0.500, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 1.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5= 27.50 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 1.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 1.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.500, 0.500]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_hermite_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000, 1.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_0.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_1.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_2.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_3.5_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0= 0.00 | MONOTONIC
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.hermite_bessel_catmullrom_cardinal_n4ck1_local_no_knot_4.0_jack=Wengert{0} => [ 0.000, 0.000, 0.000, 0.000, 0.000]
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Hermite_Bessel_CatmullRom_Cardinal_N4Ck1.ExecTime=240
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.Success=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_locallymonotone=true
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_sm=MONOTONIC
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_value=2.16
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.lpsr_wj=Wengert{0} => [-0.041, 0.896, 0.171, -0.026]
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.FinishTime=Mon Jan 27 01:17:06 EST 2020
PolynomialSplineRegressor.Lagrange_Polynomial_Stretch.ExecTime=63
PolynomialSplineRegressor=> 8034 (mu-s): 28 / 28 succeeded.
PolynomialSplineRegressor ends at Mon Jan 27 01:17:06 EST 2020
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Stats for polynomialsplineregressor.bern_n4ck2
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polynomialsplineregressor.bern_n4ck2.Stat.NumRuns=12
polynomialsplineregressor.bern_n4ck2.Stat.ExecTimeMean=274
polynomialsplineregressor.bern_n4ck2.Stat.ExecTimeMaximum=662
polynomialsplineregressor.bern_n4ck2.Stat.ExecTimeMinimum=188
polynomialsplineregressor.bern_n4ck2.Stat.ExecTimeVariance=83
polynomialsplineregressor.bern_n4ck2.Stat.InitializationDelay=388
polynomialsplineregressor.bern_n4ck2.Stat.ExecTimeList=[662, 483, 317, 256, 327, 240, 209, 232, 188, 345, 201, 216]
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Stats for polynomialsplineregressor.exptension
--------
polynomialsplineregressor.exptension.Stat.NumRuns=12
polynomialsplineregressor.exptension.Stat.ExecTimeMean=117
polynomialsplineregressor.exptension.Stat.ExecTimeMaximum=240
polynomialsplineregressor.exptension.Stat.ExecTimeMinimum=60
polynomialsplineregressor.exptension.Stat.ExecTimeVariance=47
polynomialsplineregressor.exptension.Stat.InitializationDelay=108
polynomialsplineregressor.exptension.Stat.ExecTimeList=[225, 129, 86, 240, 153, 99, 145, 122, 99, 86, 72, 60]
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Stats for polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1
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polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.NumRuns=8
polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.ExecTimeMean=280
polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.ExecTimeMaximum=1820
polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.ExecTimeMinimum=240
polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.ExecTimeVariance=42
polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.InitializationDelay=1540
polynomialsplineregressor.hermite_bessel_catmullrom_cardinal_n4ck1.Stat.ExecTimeList=[1820, 350, 273, 251, 244, 339, 265, 240]
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Stats for polynomialsplineregressor.hermite_n4ck1
--------
polynomialsplineregressor.hermite_n4ck1.Stat.NumRuns=12
polynomialsplineregressor.hermite_n4ck1.Stat.ExecTimeMean=99
polynomialsplineregressor.hermite_n4ck1.Stat.ExecTimeMaximum=640
polynomialsplineregressor.hermite_n4ck1.Stat.ExecTimeMinimum=58
polynomialsplineregressor.hermite_n4ck1.Stat.ExecTimeVariance=33
polynomialsplineregressor.hermite_n4ck1.Stat.InitializationDelay=541
polynomialsplineregressor.hermite_n4ck1.Stat.ExecTimeList=[640, 177, 123, 86, 140, 90, 99, 58, 63, 100, 72, 81]
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Stats for polynomialsplineregressor.hypertension
--------
polynomialsplineregressor.hypertension.Stat.NumRuns=12
polynomialsplineregressor.hypertension.Stat.ExecTimeMean=153
polynomialsplineregressor.hypertension.Stat.ExecTimeMaximum=334
polynomialsplineregressor.hypertension.Stat.ExecTimeMinimum=60
polynomialsplineregressor.hypertension.Stat.ExecTimeVariance=71
polynomialsplineregressor.hypertension.Stat.InitializationDelay=44
polynomialsplineregressor.hypertension.Stat.ExecTimeList=[197, 217, 112, 334, 170, 160, 155, 135, 106, 160, 77, 60]
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Stats for polynomialsplineregressor.kp
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polynomialsplineregressor.kp.Stat.NumRuns=12
polynomialsplineregressor.kp.Stat.ExecTimeMean=197
polynomialsplineregressor.kp.Stat.ExecTimeMaximum=440
polynomialsplineregressor.kp.Stat.ExecTimeMinimum=124
polynomialsplineregressor.kp.Stat.ExecTimeVariance=84
polynomialsplineregressor.kp.Stat.InitializationDelay=50
polynomialsplineregressor.kp.Stat.ExecTimeList=[247, 440, 223, 200, 184, 214, 140, 139, 160, 216, 134, 124]
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Stats for polynomialsplineregressor.lagrange_polynomial_stretch
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polynomialsplineregressor.lagrange_polynomial_stretch.Stat.NumRuns=12
polynomialsplineregressor.lagrange_polynomial_stretch.Stat.ExecTimeMean=116
polynomialsplineregressor.lagrange_polynomial_stretch.Stat.ExecTimeMaximum=308
polynomialsplineregressor.lagrange_polynomial_stretch.Stat.ExecTimeMinimum=49
polynomialsplineregressor.lagrange_polynomial_stretch.Stat.ExecTimeVariance=84
polynomialsplineregressor.lagrange_polynomial_stretch.Stat.InitializationDelay=162
polynomialsplineregressor.lagrange_polynomial_stretch.Stat.ExecTimeList=[278, 71, 86, 86, 76, 252, 175, 52, 59, 308, 49, 63]
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Stats for polynomialsplineregressor.n2ck0
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polynomialsplineregressor.n2ck0.Stat.NumRuns=12
polynomialsplineregressor.n2ck0.Stat.ExecTimeMean=93
polynomialsplineregressor.n2ck0.Stat.ExecTimeMaximum=674
polynomialsplineregressor.n2ck0.Stat.ExecTimeMinimum=18
polynomialsplineregressor.n2ck0.Stat.ExecTimeVariance=184
polynomialsplineregressor.n2ck0.Stat.InitializationDelay=-35
polynomialsplineregressor.n2ck0.Stat.ExecTimeList=[58, 33, 86, 59, 30, 674, 37, 24, 19, 19, 33, 18]
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Stats for polynomialsplineregressor.n3ck0
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polynomialsplineregressor.n3ck0.Stat.NumRuns=12
polynomialsplineregressor.n3ck0.Stat.ExecTimeMean=137
polynomialsplineregressor.n3ck0.Stat.ExecTimeMaximum=472
polynomialsplineregressor.n3ck0.Stat.ExecTimeMinimum=90
polynomialsplineregressor.n3ck0.Stat.ExecTimeVariance=53
polynomialsplineregressor.n3ck0.Stat.InitializationDelay=335
polynomialsplineregressor.n3ck0.Stat.ExecTimeList=[472, 237, 226, 96, 99, 96, 141, 183, 90, 93, 162, 90]
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Stats for polynomialsplineregressor.n3ck1
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polynomialsplineregressor.n3ck1.Stat.NumRuns=12
polynomialsplineregressor.n3ck1.Stat.ExecTimeMean=66
polynomialsplineregressor.n3ck1.Stat.ExecTimeMaximum=239
polynomialsplineregressor.n3ck1.Stat.ExecTimeMinimum=35
polynomialsplineregressor.n3ck1.Stat.ExecTimeVariance=28
polynomialsplineregressor.n3ck1.Stat.InitializationDelay=173
polynomialsplineregressor.n3ck1.Stat.ExecTimeList=[239, 102, 116, 42, 57, 100, 63, 43, 38, 44, 94, 35]
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Stats for polynomialsplineregressor.n4ck0
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polynomialsplineregressor.n4ck0.Stat.NumRuns=12
polynomialsplineregressor.n4ck0.Stat.ExecTimeMean=265
polynomialsplineregressor.n4ck0.Stat.ExecTimeMaximum=642
polynomialsplineregressor.n4ck0.Stat.ExecTimeMinimum=210
polynomialsplineregressor.n4ck0.Stat.ExecTimeVariance=65
polynomialsplineregressor.n4ck0.Stat.InitializationDelay=377
polynomialsplineregressor.n4ck0.Stat.ExecTimeList=[642, 417, 376, 221, 228, 237, 255, 240, 222, 220, 292, 210]
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Stats for polynomialsplineregressor.n4ck1
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polynomialsplineregressor.n4ck1.Stat.NumRuns=12
polynomialsplineregressor.n4ck1.Stat.ExecTimeMean=181
polynomialsplineregressor.n4ck1.Stat.ExecTimeMaximum=489
polynomialsplineregressor.n4ck1.Stat.ExecTimeMinimum=120
polynomialsplineregressor.n4ck1.Stat.ExecTimeVariance=71
polynomialsplineregressor.n4ck1.Stat.InitializationDelay=308
polynomialsplineregressor.n4ck1.Stat.ExecTimeList=[489, 334, 308, 137, 164, 163, 194, 124, 124, 127, 205, 120]
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Stats for polynomialsplineregressor.n4ck2
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polynomialsplineregressor.n4ck2.Stat.NumRuns=12
polynomialsplineregressor.n4ck2.Stat.ExecTimeMean=157
polynomialsplineregressor.n4ck2.Stat.ExecTimeMaximum=513
polynomialsplineregressor.n4ck2.Stat.ExecTimeMinimum=85
polynomialsplineregressor.n4ck2.Stat.ExecTimeVariance=119
polynomialsplineregressor.n4ck2.Stat.InitializationDelay=228
polynomialsplineregressor.n4ck2.Stat.ExecTimeList=[385, 169, 220, 125, 137, 102, 113, 86, 85, 86, 513, 94]
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Stats for polynomialsplineregressor.n5ck0
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polynomialsplineregressor.n5ck0.Stat.NumRuns=12
polynomialsplineregressor.n5ck0.Stat.ExecTimeMean=411
polynomialsplineregressor.n5ck0.Stat.ExecTimeMaximum=875
polynomialsplineregressor.n5ck0.Stat.ExecTimeMinimum=311
polynomialsplineregressor.n5ck0.Stat.ExecTimeVariance=107
polynomialsplineregressor.n5ck0.Stat.InitializationDelay=464
polynomialsplineregressor.n5ck0.Stat.ExecTimeList=[875, 638, 550, 341, 434, 361, 428, 315, 321, 316, 515, 311]
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Stats for polynomialsplineregressor.n5ck1
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polynomialsplineregressor.n5ck1.Stat.NumRuns=12
polynomialsplineregressor.n5ck1.Stat.ExecTimeMean=338
polynomialsplineregressor.n5ck1.Stat.ExecTimeMaximum=603
polynomialsplineregressor.n5ck1.Stat.ExecTimeMinimum=257
polynomialsplineregressor.n5ck1.Stat.ExecTimeVariance=77
polynomialsplineregressor.n5ck1.Stat.InitializationDelay=265
polynomialsplineregressor.n5ck1.Stat.ExecTimeList=[603, 420, 481, 289, 383, 300, 383, 259, 257, 266, 423, 261]
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Stats for polynomialsplineregressor.n5ck2
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polynomialsplineregressor.n5ck2.Stat.NumRuns=12
polynomialsplineregressor.n5ck2.Stat.ExecTimeMean=264
polynomialsplineregressor.n5ck2.Stat.ExecTimeMaximum=457
polynomialsplineregressor.n5ck2.Stat.ExecTimeMinimum=208
polynomialsplineregressor.n5ck2.Stat.ExecTimeVariance=66
polynomialsplineregressor.n5ck2.Stat.InitializationDelay=193
polynomialsplineregressor.n5ck2.Stat.ExecTimeList=[457, 275, 431, 212, 325, 250, 274, 208, 210, 208, 307, 208]
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Stats for polynomialsplineregressor.n5ck3
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polynomialsplineregressor.n5ck3.Stat.NumRuns=12
polynomialsplineregressor.n5ck3.Stat.ExecTimeMean=222
polynomialsplineregressor.n5ck3.Stat.ExecTimeMaximum=358
polynomialsplineregressor.n5ck3.Stat.ExecTimeMinimum=161
polynomialsplineregressor.n5ck3.Stat.ExecTimeVariance=65
polynomialsplineregressor.n5ck3.Stat.InitializationDelay=136
polynomialsplineregressor.n5ck3.Stat.ExecTimeList=[358, 221, 353, 173, 346, 201, 190, 240, 164, 164, 235, 161]
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Stats for polynomialsplineregressor.n6ck0
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polynomialsplineregressor.n6ck0.Stat.NumRuns=12
polynomialsplineregressor.n6ck0.Stat.ExecTimeMean=650
polynomialsplineregressor.n6ck0.Stat.ExecTimeMaximum=1191
polynomialsplineregressor.n6ck0.Stat.ExecTimeMinimum=517
polynomialsplineregressor.n6ck0.Stat.ExecTimeVariance=158
polynomialsplineregressor.n6ck0.Stat.InitializationDelay=541
polynomialsplineregressor.n6ck0.Stat.ExecTimeList=[1191, 959, 905, 524, 790, 655, 692, 519, 517, 521, 550, 518]
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Stats for polynomialsplineregressor.n6ck1
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polynomialsplineregressor.n6ck1.Stat.NumRuns=12
polynomialsplineregressor.n6ck1.Stat.ExecTimeMean=544
polynomialsplineregressor.n6ck1.Stat.ExecTimeMaximum=847
polynomialsplineregressor.n6ck1.Stat.ExecTimeMinimum=447
polynomialsplineregressor.n6ck1.Stat.ExecTimeVariance=117
polynomialsplineregressor.n6ck1.Stat.InitializationDelay=303
polynomialsplineregressor.n6ck1.Stat.ExecTimeList=[847, 807, 707, 462, 572, 562, 616, 450, 447, 448, 462, 452]
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Stats for polynomialsplineregressor.n6ck2
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polynomialsplineregressor.n6ck2.Stat.NumRuns=12
polynomialsplineregressor.n6ck2.Stat.ExecTimeMean=451
polynomialsplineregressor.n6ck2.Stat.ExecTimeMaximum=700
polynomialsplineregressor.n6ck2.Stat.ExecTimeMinimum=388
polynomialsplineregressor.n6ck2.Stat.ExecTimeVariance=66
polynomialsplineregressor.n6ck2.Stat.InitializationDelay=249
polynomialsplineregressor.n6ck2.Stat.ExecTimeList=[700, 596, 509, 403, 489, 474, 516, 396, 398, 392, 401, 388]
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Stats for polynomialsplineregressor.n6ck3
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polynomialsplineregressor.n6ck3.Stat.NumRuns=12
polynomialsplineregressor.n6ck3.Stat.ExecTimeMean=408
polynomialsplineregressor.n6ck3.Stat.ExecTimeMaximum=581
polynomialsplineregressor.n6ck3.Stat.ExecTimeMinimum=355
polynomialsplineregressor.n6ck3.Stat.ExecTimeVariance=59
polynomialsplineregressor.n6ck3.Stat.InitializationDelay=173
polynomialsplineregressor.n6ck3.Stat.ExecTimeList=[581, 524, 470, 361, 452, 417, 478, 355, 360, 359, 363, 355]
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Stats for polynomialsplineregressor.n6ck4
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polynomialsplineregressor.n6ck4.Stat.NumRuns=12
polynomialsplineregressor.n6ck4.Stat.ExecTimeMean=357
polynomialsplineregressor.n6ck4.Stat.ExecTimeMaximum=734
polynomialsplineregressor.n6ck4.Stat.ExecTimeMinimum=299
polynomialsplineregressor.n6ck4.Stat.ExecTimeVariance=66
polynomialsplineregressor.n6ck4.Stat.InitializationDelay=377
polynomialsplineregressor.n6ck4.Stat.ExecTimeList=[734, 460, 404, 313, 486, 350, 407, 300, 299, 307, 310, 300]
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Stats for polynomialsplineregressor.n7ck0
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polynomialsplineregressor.n7ck0.Stat.NumRuns=12
polynomialsplineregressor.n7ck0.Stat.ExecTimeMean=887
polynomialsplineregressor.n7ck0.Stat.ExecTimeMaximum=1397
polynomialsplineregressor.n7ck0.Stat.ExecTimeMinimum=760
polynomialsplineregressor.n7ck0.Stat.ExecTimeVariance=184
polynomialsplineregressor.n7ck0.Stat.InitializationDelay=503
polynomialsplineregressor.n7ck0.Stat.ExecTimeList=[1390, 1397, 839, 769, 875, 987, 1035, 772, 765, 769, 793, 760]
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Stats for polynomialsplineregressor.n7ck1
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polynomialsplineregressor.n7ck1.Stat.NumRuns=12
polynomialsplineregressor.n7ck1.Stat.ExecTimeMean=764
polynomialsplineregressor.n7ck1.Stat.ExecTimeMaximum=1011
polynomialsplineregressor.n7ck1.Stat.ExecTimeMinimum=683
polynomialsplineregressor.n7ck1.Stat.ExecTimeVariance=87
polynomialsplineregressor.n7ck1.Stat.InitializationDelay=247
polynomialsplineregressor.n7ck1.Stat.ExecTimeList=[1011, 962, 711, 699, 792, 870, 771, 833, 685, 683, 694, 705]
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Stats for polynomialsplineregressor.n7ck2
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polynomialsplineregressor.n7ck2.Stat.NumRuns=12
polynomialsplineregressor.n7ck2.Stat.ExecTimeMean=711
polynomialsplineregressor.n7ck2.Stat.ExecTimeMaximum=1006
polynomialsplineregressor.n7ck2.Stat.ExecTimeMinimum=618
polynomialsplineregressor.n7ck2.Stat.ExecTimeVariance=112
polynomialsplineregressor.n7ck2.Stat.InitializationDelay=156
polynomialsplineregressor.n7ck2.Stat.ExecTimeList=[867, 1006, 786, 633, 741, 789, 727, 641, 625, 622, 638, 618]
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Stats for polynomialsplineregressor.n7ck3
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polynomialsplineregressor.n7ck3.Stat.NumRuns=12
polynomialsplineregressor.n7ck3.Stat.ExecTimeMean=652
polynomialsplineregressor.n7ck3.Stat.ExecTimeMaximum=938
polynomialsplineregressor.n7ck3.Stat.ExecTimeMinimum=580
polynomialsplineregressor.n7ck3.Stat.ExecTimeVariance=73
polynomialsplineregressor.n7ck3.Stat.InitializationDelay=286
polynomialsplineregressor.n7ck3.Stat.ExecTimeList=[938, 791, 599, 724, 698, 730, 699, 597, 584, 584, 587, 580]
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Stats for polynomialsplineregressor.n7ck4
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polynomialsplineregressor.n7ck4.Stat.NumRuns=12
polynomialsplineregressor.n7ck4.Stat.ExecTimeMean=611
polynomialsplineregressor.n7ck4.Stat.ExecTimeMaximum=1140
polynomialsplineregressor.n7ck4.Stat.ExecTimeMinimum=527
polynomialsplineregressor.n7ck4.Stat.ExecTimeVariance=94
polynomialsplineregressor.n7ck4.Stat.InitializationDelay=529
polynomialsplineregressor.n7ck4.Stat.ExecTimeList=[1140, 785, 537, 729, 737, 646, 632, 538, 528, 527, 536, 529]
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Stats for polynomialsplineregressor.n7ck5
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polynomialsplineregressor.n7ck5.Stat.NumRuns=12
polynomialsplineregressor.n7ck5.Stat.ExecTimeMean=572
polynomialsplineregressor.n7ck5.Stat.ExecTimeMaximum=873
polynomialsplineregressor.n7ck5.Stat.ExecTimeMinimum=477
polynomialsplineregressor.n7ck5.Stat.ExecTimeVariance=87
polynomialsplineregressor.n7ck5.Stat.InitializationDelay=301
polynomialsplineregressor.n7ck5.Stat.ExecTimeList=[873, 719, 541, 673, 701, 607, 597, 498, 485, 501, 493, 477]