Visual analysis and diagnostic tools to facilitate machine learning model selection.
Visualize and analyze machine learning models to help choose the best one for your project.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeVisual analysis and diagnostic tools to facilitate machine learning model selection.
yellowbrick has 4.4k stars on GitHub. It has been forked 571 times. yellowbrick is written mainly in Python. It has been in active development since 2016. yellowbrick is available under the Apache-2.0 license. Its main topics are anaconda, estimator, machine-learning, matplotlib.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
yellowbrick is an open-source project. It is released under the Apache-2.0 license.
Yes. yellowbrick is free and open source — you can use, modify and self-host it.
yellowbrick is available under the Apache-2.0 license.
yellowbrick is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/districtdatalabs-yellowbrick.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.