Uses of Class
org.drip.learning.regularization.RegularizationFunction

Packages that use RegularizationFunction

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

Uses of RegularizationFunction in org.drip.learning.rxtor1

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

Modifier and Type	Method	Description
RegularizationFunction	EmpiricalLearningMetricEstimator.regularizerFunction()	Retrieve the Regularizer Function
RegularizationFunction	GeneralizedLearner.regularizerFunction()

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

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