Evaluation

Alibi is an open-source Python library for machine learning model inspection and interpretation, maintained by SeldonIO. It implements local and global explanation methods such as Anchor, Counterfactual, Integrated Gradients, and ALE for tabular, text, and image data.

MLflow is an open-source platform for the machine learning and AI application lifecycle, covering experiment tracking, model versioning, evaluation, and deployment. It is backed by the Linux Foundation and integrates with over 100 tools across the ML ecosystem.

Yellowbrick is a Python library of diagnostic visualizations that extends scikit-learn's API to help steer feature engineering, algorithm selection, and hyperparameter tuning during model selection.