All Known Implementing Classes:: RegularizerR1CombinatorialToR1Continuous, RegularizerR1ContinuousToR1Continuous

public interface RegularizerR1ToR1

RegularizerR1ToR1 exposes the Structural Loss and Risk for the specified Normed R¹ To Normed R¹ Learning Function.

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Module = Computational Core Module
Library = Statistical Learning
Project = Agnostic Learning Bounds under Empirical Loss Minimization Schemes
Package = Statistical Learning Empirical Loss Regularizer

Method Summary

Modifier and Type	Method	Description
`double`	`lambda()`	Retrieve the Regularization Constant Lambda
`double`	`structuralLoss(R1ToR1 funcR1ToR1, double[] adblX)`	Compute the Regularization Sample Structural Loss
`double`	`structuralRisk(R1R1 distR1R1, R1ToR1 funcR1ToR1, double[] adblX, double[] adblY)`	Compute the Regularization Sample Structural Loss

Interface RegularizerR1ToR1