scikit-visualizations

Scikit-learn-compatible visualizations


Keywords
scikit-learn, keras, pandas, scipy, seaborn
License
MIT
Install
pip install scikit-visualizations==0.1.6

Documentation

scikit-visualizations

Scikit-learn-compatible visualizations

Status

Build Status Coverage Status Maintainability Test Coverage Code Health

Installation

Available in PyPI

pip install scikit-visualizations

Documentation

Autogenerated and hosted in GitHub Pages

Distribution

Run the following command from the project home to create the distribution

python setup.py sdist bdist_wheel

and upload the package to testPyPI

twine upload --repository-url https://test.pypi.org/legacy/ dist/*

or PyPI

twine upload dist/*

Citation

If you find scikit-visualizations useful, please cite it in your publications. You can use this BibTeX entry:

@misc{scikit-visualizations,
      title={scikit-visualizations},
      author={Diaz-Vico, David},
      year={2017},
      publisher={GitHub},
      howpublished={\url{https://github.com/daviddiazvico/scikit-visualizations}}}