Uses of Interface
org.drip.learning.rxtor1.EmpiricalLearningMetricEstimator

Packages that use EmpiricalLearningMetricEstimator

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

Uses of EmpiricalLearningMetricEstimator in org.drip.learning.rxtor1

Classes in org.drip.learning.rxtor1 that implement EmpiricalLearningMetricEstimator

Modifier and Type	Class	Description
class	ApproximateLipschitzLossLearner	ApproximateLipschitzLossLearner implements the Learner Class that holds the Space of Normed Rd To Normed R1 Learning Functions for the Family of Loss Functions that are "approximately" Lipschitz, i.e., loss (ep) - loss (ep') Less Than max (C * |ep-ep'|, C') The References are: Alon, N., S.
class	GeneralizedLearner	GeneralizedLearner implements the Learner Class that holds the Space of Normed Rx To Normed R1 Learning Functions along with their Custom Empirical Loss.
class	L1LossLearner	L1LossLearner implements the Learner Class that holds the Space of Normed Rx To Normed R1 Learning Functions that employs L1 Empirical Loss Routine.
class	LipschitzLossLearner	LipschitzLossLearner implements the Learner Class that holds the Space of Normed R1 To Normed R1 Learning Functions for the Family of Loss Functions that are Lipschitz, i.e., loss (ep) - loss (ep') Less Than C * |ep-ep'| The References are: Alon, N., S.
class	LpLossLearner	LpLossLearner implements the Learner Class that holds the Space of Normed Rx To Normed R1 Learning Functions for the Family of Loss Functions that are Polynomial, i.e., loss (eta) = (eta ^ p) / p, for p greater than 1.

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

Modifier and Type	Method	Description
EmpiricalLearningMetricEstimator	EmpiricalPenaltySupremumEstimator.elme()	Retrieve the Empirical Learning Metric Estimator Instance

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

Constructor	Description
EmpiricalPenaltySupremumEstimator(int iSupremumPenaltyLossMode, EmpiricalLearningMetricEstimator elme, GeneralizedValidatedVector gvviY, R1R1 distR1R1, RdR1 distRdR1)	EmpiricalPenaltySupremumEstimator Constructor