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scikit-learn-compatible cross-validation for time-series and financial machine learning: purging, embargoes, combinatorial purged CV, and deflated Sharpe ratios.
pip install purgedcv
PyPI declares 20 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.24>=2.0>=1.3>=1.10purgedcv publishes 1 wheel and 1 source archive for version 0.1.2. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14.
PyPI lists 15 releases with files. The first dated release is ; 15 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .