Module regularization_path 

Regularization Path Algorithms for SVM

This module implements algorithms to compute the full regularization path for various types of regularized SVMs. The regularization path shows how the solution changes as the regularization parameter varies, which is useful for model selection and understanding the trade-off between complexity and fit.

Algorithms included:

• Lasso Path: For L1-regularized linear SVMs
• Elastic Net Path: For combined L1/L2 regularized SVMs
• Group Lasso Path: For group-structured regularization
• Adaptive Lasso Path: With adaptive weights for feature selection

Structs

RegularizationPathConfig

Configuration for regularization path computation

RegularizationPathResult

Results of regularization path computation

RegularizationPathSolver

Regularization Path Solver for SVMs

Enums

CrossValidationStrategy

Cross-validation strategy for path selection

RegularizationPathType

Regularization path algorithm types