Yellowbrick is a suite of visual diagnostic tools called “Visualizers” that extend the scikit-learn API to allow human steering of the model selection process. In a nutshell, Yellowbrick combines scikit-learn with matplotlib in the best tradition of the scikit-learn documentation, but to produce visualizations for your machine learning workflow!
For complete documentation on the Yellowbrick API, a gallery of available visualizers, the contributor’s guide, tutorials and teaching resources, frequently asked questions, and more, please visit our documentation at www.scikit-yb.org.
Feature Analysis Visualizers. RadViz Visualizer. Rank Features. Rank 1D. Rank 2D. Quick Methods. API Reference. Parallel Coordinates. PCA Projection. Manifold Visualization. Direct Data Visualization.