class_docstr: The configuration parameters for the SageMaker Clarify explainer.
docstr: Initialize a config object for online explainability with AWS SageMaker Clarify.
  
  Args:
      shap_config (:class:`~sagemaker.explainer.clarify_explainer_config.ClarifyShapConfig`):
          The configuration for SHAP analysis.
      enable_explanations (str): Optional. A `JMESPath boolean expression
          <https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-online-explainability-create-endpoint.html#clarify-online-explainability-create-endpoint-enable>`__
          used to filter which records to explain (Default: None). If not specified,
          explanations are activated by default.
      inference_config (:class:`~sagemaker.explainer.clarify_explainer_config.ClarifyInferenceConfig`):
          Optional. The inference configuration parameter for the model container. (Default: None)
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code: def __init__(
      self,
      shap_config: ClarifyShapConfig,
      enable_explanations: Optional[str] = None,
      inference_config: Optional[ClarifyInferenceConfig] = None,
  ):
      """Initialize a config object for online explainability with AWS SageMaker Clarify.
  
      Args:
          shap_config (:class:`~sagemaker.explainer.clarify_explainer_config.ClarifyShapConfig`):
              The configuration for SHAP analysis.
          enable_explanations (str): Optional. A `JMESPath boolean expression
              <https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-online-explainability-create-endpoint.html#clarify-online-explainability-create-endpoint-enable>`__
              used to filter which records to explain (Default: None). If not specified,
              explanations are activated by default.
          inference_config (:class:`~sagemaker.explainer.clarify_explainer_config.ClarifyInferenceConfig`):
              Optional. The inference configuration parameter for the model container. (Default: None)
      """  # noqa E501  # pylint: disable=line-too-long
      self.enable_explanations = enable_explanations
      self.shap_config = shap_config
      self.inference_config = inference_config
  
imports: from __future__ import print_function, absolute_import
  from typing import List, Optional
label_desc: Use image node_id 1 to create a new ClarifyExplainerConfig object from inherited base classes: object with example: obj = ClarifyExplainerConfig(shap_config, enable_explanations, inference_config)