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Overfitting detection for Gradient Boosting models using λ-Guard methodology.
pip install lambda-guard-boosting
PyPI declares 8 unique dependency rules for this release. Environment markers are shown when supplied by the project.
<2.2,>=1.26<3.0,>=2.2<2.0,>=1.3<4.0,>=3.8<0.14,>=0.12<4.0,>=1.7<5.0,>=4.4<2.0,>=1.1lambda-guard-boosting publishes 1 wheel and 1 source archive for version 0.2.6. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 4 releases with files. The first dated release is ; 4 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .