pyppca
Probabilistic PCA which is applicable also on data with missing values. Missing value estimation is typically better than NIPALS but also slower to compute and uses more memory. A port to Python of the implementation by Jakob Verbeek.
Usage:
from pyppca import ppca
C, ss, M, X, Ye = ppca(Y,d,dia)
1 maintainer
Metadata
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Release files for pyppca 0.0.4
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Release files / pyppca-0.0.4.tar.gz
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