Package org.drip.learning.regularization

Statistical Learning Empirical Loss Regularizer

Author:

Lakshmi Krishnamurthy

Interface Summary

Interface	Description
RegularizerR1ToR1	RegularizerR1ToR1 exposes the Structural Loss and Risk for the specified Normed R1 To Normed R1 Learning Function.
RegularizerRdToR1	RegularizerRdToR1 exposes the Structural Loss and Risk for the specified Normed Rd To Normed R1 Learning Function.

Class Summary

Class	Description
RegularizationFunction	RegularizerFunction the R1 To R1 and the Rd To R1 Regularization Functions.
RegularizerBuilder	RegularizerBuilder constructs Custom Regularizers for the different Normed Learner Function Types.
RegularizerR1CombinatorialToR1Continuous	RegularizerR1CombinatorialToR1Continuous computes the Structural Loss and Risk for the specified Normed R1 Combinatorial To Normed R1 Continuous Learning Function.
RegularizerR1ContinuousToR1Continuous	RegularizerR1ContinuousToR1Continuous computes the Structural Loss and Risk for the specified Normed R1 Continuous To Normed R1 Continuous Learning Function.
RegularizerRdCombinatorialToR1Continuous	RegularizerRdCombinatorialToR1Continuous computes the Structural Loss and Risk for the specified Normed Rd Combinatorial To Normed R1 Continuous Learning Function.
RegularizerRdContinuousToR1Continuous	RegularizerRdContinuousToR1Continuous computes the Structural Loss and Risk for the specified Normed Rd Continuous To Normed R1 Continuous Learning Function.