Metadata-Version: 2.1
Name: pyppca
Version: 0.0.3
Summary: Probabilistic PCA with Missing Values
Home-page: https://github.com/shergreen/pyppca
Author: Sheridan Green
Author-email: sheridan.green@yale.edu
License: UNKNOWN
Description: # 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](http://lear.inrialpes.fr/~verbeek/software.php).
        
        Usage:
        ```
        from pyppca import ppca
        C, ss, M, X, Ye = ppca(Y,d,dia)
        ```
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
