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Shing Lyu
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fix: break the lines to meet pylint requirement
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src/sagemaker/workflow/clarify_check_step.py

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@@ -132,9 +132,10 @@ class ModelExplainabilityCheckConfig(ClarifyCheckConfig):
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Attributes:
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model_config (ModelConfig): Config of the model and its endpoint to be created.
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explainability_config (SHAPConfig or PDPConfig): Config of the specific explainability method.
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explainability_config (SHAPConfig or PDPConfig): Config of the explainability method.
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Supports SHAP or PDP.
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For `PDPConfig`, `features` must be specified. `top_k_features` based on SHAP is currently not supported.
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For `PDPConfig`, `features` must be specified.
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`top_k_features` based on SHAP is currently not supported.
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model_scores (str or int or ModelPredictedLabelConfig): Index or JMESPath expression
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to locate the predicted scores in the model output (default: None).
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This is not required if the model output is a single score. Alternatively,

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