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6 changes: 4 additions & 2 deletions src/sagemaker/workflow/clarify_check_step.py
Original file line number Diff line number Diff line change
Expand Up @@ -132,8 +132,10 @@ class ModelExplainabilityCheckConfig(ClarifyCheckConfig):

Attributes:
model_config (ModelConfig): Config of the model and its endpoint to be created.
explainability_config (SHAPConfig): Config of the specific explainability method.
Currently, only SHAP is supported.
explainability_config (SHAPConfig or PDPConfig): Config of the explainability method.
Supports SHAP or PDP.
For `PDPConfig`, `features` must be specified.
`top_k_features` based on SHAP is currently not supported.
model_scores (str or int or ModelPredictedLabelConfig): Index or JMESPath expression
to locate the predicted scores in the model output (default: None).
This is not required if the model output is a single score. Alternatively,
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