Yellowbrick helps to visualize our model in different perspective
$ pip install yellowbrick
$ pip install -U yellowbrick
Yellowbrick wraps the scikit-learn and matplotlib to create publication-ready figures and interactive data explorations. It is a diagnostic visualization platform for machine learning that allows us to steer the model selection process by helping to evaluate the performance, stability, and predictive value of our models and further assist in diagnosing the problems in our workflow.
Home Page: https://rakibhhridoy.github.io
Yellowbrick helps to visualize our model in different perspective
$ pip install yellowbrick
$ pip install -U yellowbrick
Cool project! (not sure if it's still maintained)
Any plans on integrating with sklearn-evaluation?
It has more capabilities (bug fixes + new features) and is well-maintained.
Happy to assist!
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