Skip to main content
Version: 1.38


Explain predictions to enhance model transparency, ensure ethical and unbiased outcomes, and gain insights into the underlying data patterns.

Explain a prediction

We assume that you have deployed a model with an explainer. Use the UI, Deeploy API, or Python client to explain a prediction.

  • (SHAP Kernel explainer only) Navigate to the Predictions tab in your Deployment.
  • Click Explain to generate an explainer for any prediction that was made the current commit.