| Name | fbpca JSON |
| Version |
1.0
JSON |
| download |
| home_page | https://www.facebook.com |
| Summary | Fast computations of PCA/SVD/eigendecompositions via randomized methods |
| upload_time | 2014-12-09 21:25:39 |
| maintainer | None |
| docs_url | None |
| author | tulloch@fb.com |
| requires_python | None |
| license | BSD License |
| keywords |
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
``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
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