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

Packages that use EmpiricalPenaltySupremum

Package	Description
org.drip.learning.rxtor1

Uses of EmpiricalPenaltySupremum in org.drip.learning.rxtor1

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

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