A simple plugin implementing selected matrix decomposition algorithms from sklearn.decomposition within napari.
Also includes the Olivetti sample data, for more info see the sklearn example.
At present, the following algorithms are implemented:
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.
This napari plugin was generated with Cookiecutter using @napari's cookiecutter-napari-plugin template.
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
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.
Distributed under the terms of the BSD-3 license, "napari-sklearn-decomposition" is free and open source software
If you encounter any problems, please file an issue along with a detailed description.