Metadata-Version: 1.1
Name: fbpca
Version: 1.0
Summary: Fast computations of PCA/SVD/eigendecompositions via randomized methods
Home-page: https://www.facebook.com
Author: tulloch@fb.com
Author-email: tulloch@fb.com
License: BSD License
Description: ``fbpca`` - Functions for principal component analysis (PCA)
        ============================================================
        
        Requirements
        ------------
        
        - `numpy>=1.9`
        - `scipy>=0.14`
        
        Installation
        ------------
        
        ::
        
            pip install fbpca
        
        License
        -------
        
        The license is BSD, with an additional grant of patent rights.
        
        Related software
        ----------------
        
        A closely related Matlab/Octave implementation is available at
        http://tygert.com/software.html with benchmarking reported at
        http://tygert.com/implement.pdf
        
Platform: Any
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
