Automatic Model Evaluation and Explainability with MLflow Evaluate

Automatic Model Evaluation and Explainability with MLflow Evaluate

After training your ML model, you can use mlflow.evalutes() to automatically generate relevant metrics without requiring manual metric creation.

Additionally, you can gain insights into the factors influencing the model’s predictions using various techniques, such as feature importance analysis or SHAP.

Learn more about MLflow’s model evaluation.

Search

Related Posts

Scroll to Top

Work with Khuyen Tran

Work with Khuyen Tran