sklearn-evaluation
Join our community | Newsletter | Contact us | Docs | Blog | Website | YouTube
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 tested with such Python version.
Install
pip install sklearn-evaluationFeatures
- 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