facebookarchive/fbpca

Fast Randomized PCA/SVD

Python

494

12 commits

updated Sep 10, 2019

See the code

README

``fbpca`` - Functions for principal component analysis (PCA)
============================================================

Requirements
------------

- `numpy>=1.9`
- `scipy>=0.14`

Installation
------------

::

    pip install fbpca

Documentation
-------------

http://fbpca.readthedocs.org/

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

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

Contributors

tygert

8 commits

ajtulloch

3 commits

facebookarchive/fbpca

Fast Randomized PCA/SVD

Python

494

12 commits

updated Sep 10, 2019

See the code

README

``fbpca`` - Functions for principal component analysis (PCA)
============================================================

Requirements
------------

- `numpy>=1.9`
- `scipy>=0.14`

Installation
------------

::

    pip install fbpca

Documentation
-------------

http://fbpca.readthedocs.org/

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

Not written in Markdown, so it's shown here as plain text — view it formatted on GitHub.

Contributors

tygert

8 commits

ajtulloch

3 commits

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