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Variational Bayesian PCA (Ilin & Raiko 2010) with support for missing data and missing entries.
pip install vbpca-py
PyPI declares 23 unique dependency rules for this release. Environment markers are shown when supplied by the project.
The compact report shows 12 of 23 declarations. The interactive dependency graph loads the complete metadata.
vbpca-py publishes 9 wheels and 1 source archive for version 0.2.0. Wheel platform tags: macosx_11_0_arm64, manylinux_2_24_x86_64.manylinux_2_28_x86_64, win_amd64.
Declared Python classifiers: 3.11, 3.12, 3.13, 3.14.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .