Fast computations of PCA/SVD/eigendecompositions via randomized methods
Project description
Requirements
- numpy>=1.9
- scipy>=0.14
Installation
pip install fbpca
License
The license is BSD, with an additional grant of patent rights.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size fbpca-1.0.tar.gz (11.8 kB) | File type Source | Python version None | Upload date | Hashes View |
| Filename, size fbpca-1.0.macosx-10.9-x86_64.exe (74.0 kB) | File type Windows Installer | Python version any | Upload date | Hashes View |
Close
Hashes for fbpca-1.0.macosx-10.9-x86_64.exe
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 1a06e770fb618a29f0ab57077dffa36e4501e7b339220bed2e7e712f3934b00e |
|
| MD5 | c9abd9b4168f150c78c525190ea74056 |
|
| BLAKE2-256 | 816e6db5dd4e41f5ef9ae111bcad7825f6c2312df7f6257ecc618df0e26b50d4 |