``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.
Python
99.7%
``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.
Python
99.7%