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Yellowbrick extends the Scikit-Learn API to make model selection and hyperparameter tuning easier. Under the hood, it’s using Matplotlib. 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.
Features
- Yellowbrick is compatible with Python 3.4 or later and also depends on scikit-learn and matplotlib.
- You can also use the -U flag to update scikit-learn, matplotlib, or any other third party utilities that work well with Yellowbrick to their latest versions
- Documentation available
- Feature Visualization
- Model Visualization
- The Yellowbrick API is specifically designed to play nicely with scikit-learn
Project Samples
Categories
Machine LearningLicense
Apache License V2.0Follow Yellowbrick
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