https://github.com/zoccoler/napari-sklearn-decomposition

https://github.com/zoccoler/napari-sklearn-decomposition

Last synced: 3 days ago
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• Host: GitHub
• URL: https://github.com/zoccoler/napari-sklearn-decomposition
• Owner: zoccoler
• License: bsd-3-clause
• Created: 2022-01-18T10:28:46.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2022-09-16T08:06:23.000Z (over 2 years ago)
• Last Synced: 2024-11-16T04:56:04.280Z (about 2 months ago)
• Language: Python
• Size: 48.8 KB
• Stars: 1
• Watchers: 3
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# napari-sklearn-decomposition

A simple plugin implementing selected matrix decomposition algorithms from [`sklearn.decomposition`](https://scikit-learn.org/stable/modules/classes.html#module-sklearn.decomposition) within napari. 

Also includes the Olivetti sample data, for more info see [the sklearn example](https://scikit-learn.org/stable/auto_examples/decomposition/plot_faces_decomposition.html#sphx-glr-auto-examples-decomposition-plot-faces-decomposition-py). 

At present, the following algorithms are implemented:

1. [PCA](https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.PCA.html)

2. [NMF](https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.NMF.html)

3. [FastICA](https://scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html)

If you'd like another algorithm implemented, please [file an issue]. For more information about signal decomposition and these methods, see [the sklearn User Guide](https://scikit-learn.org/stable/modules/decomposition.html). 

----------------------------------

This [napari] plugin was generated with [Cookiecutter] using [@napari]'s [cookiecutter-napari-plugin] template.

## Installation

This plugin is experimental and pre-alpha. At the moment you can only install from this repository.

To install latest development version :

    pip install git+https://github.com/jdeschamps/napari-sklearn-decomposition.git

## Contributing

Contributions are very welcome. Tests can be run with [tox], please ensure

the coverage at least stays the same before you submit a pull request.

## License

Distributed under the terms of the [BSD-3] license,

"napari-sklearn-decomposition" is free and open source software

## Issues

If you encounter any problems, please [file an issue] along with a detailed description.

[napari]: https://github.com/napari/napari

[Cookiecutter]: https://github.com/audreyr/cookiecutter

[@napari]: https://github.com/napari

[MIT]: http://opensource.org/licenses/MIT

[BSD-3]: http://opensource.org/licenses/BSD-3-Clause

[GNU GPL v3.0]: http://www.gnu.org/licenses/gpl-3.0.txt

[GNU LGPL v3.0]: http://www.gnu.org/licenses/lgpl-3.0.txt

[Apache Software License 2.0]: http://www.apache.org/licenses/LICENSE-2.0

[Mozilla Public License 2.0]: https://www.mozilla.org/media/MPL/2.0/index.txt

[cookiecutter-napari-plugin]: https://github.com/napari/cookiecutter-napari-plugin

[file an issue]: https://github.com/jdeschamps/napari-sklearn-decomposition/issues

[napari]: https://github.com/napari/napari

[tox]: https://tox.readthedocs.io/en/latest/

[pip]: https://pypi.org/project/pip/

[PyPI]: https://pypi.org/