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10.21.0
·
13 commits
to main
since this release
Added
validation_ratioParameter: Addedvalidation_ratioto the constructor ofAPLRRegressorandAPLRClassifier. This parameter specifies the ratio of training observations used for validation. When specified,cv_foldsis ignored. This is useful for speeding up hyperparameter tuning.
Documentation
- Updated Examples: Examples have been updated to use
validation_ratiofor hyperparameter tuning by default, with an option to switch back to cross-validation. - API Reference: Updated documentation to reflect the new
validation_ratioparameter. - README: Restructured the README to improve navigation. Added a dedicated "Documentation" section consolidating resources, examples, and API references. Added a "Citation" section for the published article.