Uses of Class
org.drip.learning.bound.MeasureConcentrationExpectationBound

Packages that use MeasureConcentrationExpectationBound

Package	Description
org.drip.learning.rxtor1	Statistical Learning Empirical Loss Penalizer

Uses of MeasureConcentrationExpectationBound in org.drip.learning.rxtor1

Methods in org.drip.learning.rxtor1 that return MeasureConcentrationExpectationBound

Modifier and Type	Method	Description
MeasureConcentrationExpectationBound	L1LossLearner.concentrationLossBoundEvaluator()	Retrieve the Concentration of Measure based Loss Expectation Upper Bound Evaluator Instance

Constructors in org.drip.learning.rxtor1 with parameters of type MeasureConcentrationExpectationBound

Constructor	Description
EmpiricalPenaltySupremumMetrics(EmpiricalPenaltySupremumEstimator epse, SingleSequenceAgnosticMetrics[] aSSAM, MeasureConcentrationExpectationBound mceb)	EmpiricalPenaltySupremumMetrics Constructor
L1LossLearner(NormedRxToNormedR1Finite funcClassRxToR1, CoveringNumberLossBound cdpb, RegularizationFunction regularizerFunc, MeasureConcentrationExpectationBound cleb)	L1LossLearner Constructor