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

Packages that use CoveringNumberLossBound

Package	Description
org.drip.learning.bound	Covering Numbers, Concentration, Lipschitz Bounds
org.drip.learning.rxtor1	Statistical Learning Empirical Loss Penalizer

Uses of CoveringNumberLossBound in org.drip.learning.bound

Methods in org.drip.learning.bound that return CoveringNumberLossBound

Modifier and Type	Method	Description
static CoveringNumberLossBound	CoveringNumberBoundBuilder.AgnosticConvexLearning(R1ToR1 funcSampleCoefficient, double dblExponentScaler)	Construct the Agnostic Convex Learning CoveringNumberProbabilityBound Instance
static CoveringNumberLossBound	CoveringNumberBoundBuilder.AgnosticLearning(R1ToR1 funcSampleCoefficient, double dblExponentScaler)	Construct the Agnostic Learning CoveringNumberProbabilityBound Instance
static CoveringNumberLossBound	CoveringNumberBoundBuilder.RegressionLearning(R1ToR1 funcSampleCoefficient, double dblExponentScaler)	Construct the Regression Learning CoveringNumberProbabilityBound Instance

Uses of CoveringNumberLossBound in org.drip.learning.rxtor1

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

Modifier and Type	Method	Description
CoveringNumberLossBound	GeneralizedLearner.coveringLossBoundEvaluator()	Retrieve the Covering Number based Deviation Upper Probability Bound Generator

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

Constructor	Description
ApproximateLipschitzLossLearner(NormedRxToNormedR1Finite funcClassRxToR1, CoveringNumberLossBound cdpb, RegularizationFunction regularizerFunc, double dblLipschitzSlope, double dblLipschitzFloor)	ApproximateLipschitzLossLearner Constructor
GeneralizedLearner(NormedRxToNormedR1Finite funcClassRxToR1, CoveringNumberLossBound funcClassCNLB, RegularizationFunction regularizerFunc)	GeneralizedLearner Constructor
L1LossLearner(NormedRxToNormedR1Finite funcClassRxToR1, CoveringNumberLossBound cdpb, RegularizationFunction regularizerFunc, MeasureConcentrationExpectationBound cleb)	L1LossLearner Constructor
LipschitzLossLearner(NormedRxToNormedR1Finite funcClassRxToR1, CoveringNumberLossBound cdpb, RegularizationFunction regularizerFunc, double dblLipschitzSlope)	LipschitzLossLearner Constructor
LpLossLearner(NormedRxToNormedR1Finite funcClassRxToR1, CoveringNumberLossBound cdpb, RegularizationFunction regularizerFunc, double dblLossExponent)	LpLossLearner Constructor