AccAltProj for robust PCA
Port of the AccAltProj algorithm for robust PCA to python.
This is a python port of the AccAltProj algorithm for robust PCA, described in this paper.
This implementation follows sklearn's fit & transform API.
📦 Installation
Requires python 3
In a terminal:
pip install rpca
As always, it is usually a good idea to use a virtual environment.
1 maintainer
Metadata
1 maintainer
Release files for rpca 0.1.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
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| rpca-0.1.6.tar.gz | 5.6 kB | Without provenance | Details |
Built distribution (wheel)
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| rpca-0.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.0 kB
Release files / rpca-0.1.6.tar.gz
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Release files / rpca-0.1.6-py3-none-any.whl
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| Size | 6.4 kB |
| Tags | Python 3 |
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Security for rpca 0.1.6
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