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

Packages that use EmpiricalLearningMetricEstimator

Package	Description
org.drip.learning.rxtor1

Uses of EmpiricalLearningMetricEstimator in org.drip.learning.rxtor1

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

Modifier and Type	Class and Description
class	ApproximateLipschitzLossLearner ApproximateLipschitzLossLearner implements the Learner Class that holds the Space of Normed R^d To Normed R^1 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: 1) Alon, N., S.
class	GeneralizedLearner GeneralizedLearner implements the Learner Class that holds the Space of Normed R^x To Normed R^1 Learning Functions along with their Custom Empirical Loss.
class	L1LossLearner L1LossLearner implements the Learner Class that holds the Space of Normed R^x To Normed R^1 Learning Functions that employs L1 Empirical Loss Routine.
class	LipschitzLossLearner LipschitzLossLearner implements the Learner Class that holds the Space of Normed R^1 To Normed R^1 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: 1) Alon, N., S.
class	LpLossLearner LpLossLearner implements the Learner Class that holds the Space of Normed R^x To Normed R^1 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 and Description
EmpiricalLearningMetricEstimator	EmpiricalPenaltySupremumEstimator.elme() Retrieve the Empirical Learning Metric Estimator Instance

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

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