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Contrastive PCA with out-of-sample projection — fork of Abid et al. (2018) with fixes for held-out data transform, symmetric eigendecomposition, and arbitrary n_components.
pip install contrastive-cv
PyPI declares 7 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=1.20>=1.0contrastive-cv publishes 1 wheel and 1 source archive for version 0.2.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 1 release with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on .