Uses of Class
org.drip.learning.rxtor1.EmpiricalPenaltySupremum

Packages that use EmpiricalPenaltySupremum

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

Uses of EmpiricalPenaltySupremum in org.drip.learning.rxtor1

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

Modifier and Type	Method	Description
EmpiricalPenaltySupremum	EmpiricalPenaltySupremumEstimator.supremum(GeneralizedValidatedVector gvviX)	Compute the Empirical Penalty Supremum for the specified R^1/R^d Input Space
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumEmpiricalLoss(GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Empirical Sample Loss
EmpiricalPenaltySupremum	GeneralizedLearner.supremumEmpiricalLoss(GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumEmpiricalRisk(R1R1 distR1R1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Empirical Sample Risk
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumEmpiricalRisk(RdR1 distRdR1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Empirical Sample Risk
EmpiricalPenaltySupremum	GeneralizedLearner.supremumEmpiricalRisk(R1R1 distR1R1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	GeneralizedLearner.supremumEmpiricalRisk(RdR1 distRdR1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	EmpiricalPenaltySupremumEstimator.supremumR1(GeneralizedValidatedVector gvviX)	Compute the Empirical Penalty Supremum for the specified R^1 Input Space
EmpiricalPenaltySupremum	EmpiricalPenaltySupremumEstimator.supremumRd(GeneralizedValidatedVector gvviX)	Compute the Empirical Penalty Supremum for the specified R^d Input Space
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumRegularizedLoss(GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Regularized Sample Loss
EmpiricalPenaltySupremum	GeneralizedLearner.supremumRegularizedLoss(GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumRegularizedRisk(R1R1 distR1R1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Regularized Sample Risk
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumRegularizedRisk(RdR1 distRdR1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Regularized Sample Risk
EmpiricalPenaltySupremum	GeneralizedLearner.supremumRegularizedRisk(R1R1 distR1R1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	GeneralizedLearner.supremumRegularizedRisk(RdR1 distRdR1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumStructuralLoss(GeneralizedValidatedVector gvviX)	Compute the Supremum Structural Sample Loss
EmpiricalPenaltySupremum	GeneralizedLearner.supremumStructuralLoss(GeneralizedValidatedVector gvviX)
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumStructuralRisk(R1R1 distR1R1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Structural Sample Risk
EmpiricalPenaltySupremum	EmpiricalLearningMetricEstimator.supremumStructuralRisk(RdR1 distRdR1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)	Compute the Supremum Structural Sample Risk
EmpiricalPenaltySupremum	GeneralizedLearner.supremumStructuralRisk(R1R1 distR1R1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)
EmpiricalPenaltySupremum	GeneralizedLearner.supremumStructuralRisk(RdR1 distRdR1, GeneralizedValidatedVector gvviX, GeneralizedValidatedVector gvviY)