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Version: 1.35


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.