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Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis.
Supports Python 3.7 and higher. Tested on Linux, macOS and Windows.
Note: Recent versions likely work on Python 3.6, however, 0.8.2 was the latest version we tested with Python 3.6.
pip install sklearn-evaluation- Plotting (confusion matrix, feature importances, precision-recall, roc, elbow curve, silhouette plot)
- Report generation (example)
- Evaluate grid search results
- Track experiments using a local SQLite database
- Analyze notebooks output
- Query notebooks with SQL