interactive visualizations for performance of predictive models
Project description
rtichoke
interactive visualizations for performance of predictive models
Installation
$ pip install rtichoke
Usage
- TODO
Contributing
Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.
License
rtichoke
was created by Uriah Finkel. It is licensed under the terms of the MIT license.
Credits
rtichoke
was created with cookiecutter
and the py-pkgs-cookiecutter
template.
Project details
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