Uses of Interface
org.drip.learning.regularization.RegularizerR1ToR1

Packages that use RegularizerR1ToR1

Package	Description
org.drip.learning.regularization	Statistical Learning Empirical Loss Regularizer

Uses of RegularizerR1ToR1 in org.drip.learning.regularization

Classes in org.drip.learning.regularization that implement RegularizerR1ToR1

Modifier and Type	Class	Description
class	RegularizerR1CombinatorialToR1Continuous	RegularizerR1CombinatorialToR1Continuous computes the Structural Loss and Risk for the specified Normed R1 Combinatorial To Normed R1 Continuous Learning Function.
class	RegularizerR1ContinuousToR1Continuous	RegularizerR1ContinuousToR1Continuous computes the Structural Loss and Risk for the specified Normed R1 Continuous To Normed R1 Continuous Learning Function.

Methods in org.drip.learning.regularization that return RegularizerR1ToR1

Modifier and Type	Method	Description
static RegularizerR1ToR1	RegularizerBuilder.R1CombinatorialToR1Continuous(R1ToR1 funcRegularizerR1ToR1, NormedR1CombinatorialToR1Continuous funcSpaceR1ToR1, double dblLambda)	Construct an Instance of R^1 Combinatorial To R^1 Continuous Regularizer
static RegularizerR1ToR1	RegularizerBuilder.R1ContinuousToR1Continuous(R1ToR1 funcRegularizerR1ToR1, NormedR1ContinuousToR1Continuous funcSpaceR1ToR1, double dblLambda)	Construct an Instance of R^1 Continuous To R^1 Continuous Regularizer
static RegularizerR1ToR1	RegularizerBuilder.ToR1Continuous(R1ToR1 funcRegularizerR1ToR1, R1Normed r1Input, R1Continuous r1ContinuousOutput, double dblLambda)	Construct an Instance of R^1 Combinatorial/Continuous To R^1 Continuous Regularizer