VBPCApy

介紹

Variational Bayesian PCA for incomplete data with native missingness handling, uncertainty outputs, and C++ accelerated kernels.

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Variational Bayesian PCA (Ilin & Raiko, 2010) with support for missing data, sparse masks, optional bias terms, and an orthogonal post-rotation to a PCA basis. The implementation follows the original MATLAB reference while adding Python-native APIs, fast C++ extensions, and runtime autotuning.