Uses of Interface
org.drip.learning.regularization.RegularizerRdToR1
| Package | Description |
|---|---|
| org.drip.learning.regularization |
Statistical Learning Empirical Loss Regularizer
|
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Uses of RegularizerRdToR1 in org.drip.learning.regularization
Classes in org.drip.learning.regularization that implement RegularizerRdToR1 Modifier and Type Class Description classRegularizerRdCombinatorialToR1ContinuousRegularizerRdCombinatorialToR1Continuous computes the Structural Loss and Risk for the specified Normed Rd Combinatorial To Normed R1 Continuous Learning Function.classRegularizerRdContinuousToR1ContinuousRegularizerRdContinuousToR1Continuous computes the Structural Loss and Risk for the specified Normed Rd Continuous To Normed R1 Continuous Learning Function.Methods in org.drip.learning.regularization that return RegularizerRdToR1 Modifier and Type Method Description static RegularizerRdToR1RegularizerBuilder. RdCombinatorialToR1Continuous(RdToR1 funcRegularizerRdToR1, NormedRdCombinatorialToR1Continuous funcSpaceRdToR1, double dblLambda)Construct an Instance of R^d Combinatorial To R^1 Continuous Regularizerstatic RegularizerRdToR1RegularizerBuilder. RdContinuousToR1Continuous(RdToR1 funcRegularizerRdToR1, NormedRdContinuousToR1Continuous funcSpaceRdToR1, double dblLambda)Construct an Instance of R^d Continuous To R^1 Continuous Regularizerstatic RegularizerRdToR1RegularizerBuilder. ToRdContinuous(RdToR1 funcRegularizerRdToR1, RdNormed rdInput, R1Continuous r1ContinuousOutput, double dblLambda)Construct an Instance of R^d Combinatorial/Continuous To R^1 Continuous Regularizer