class_docstr: Provides functionality to retrieve monitoring-specific files output from executions.
class_docstr_tok: ["Provides","functionality","to","retrieve","monitoring-specific","files","output","from","executions","."]
docstr: Initializes an object that tracks a monitoring execution by a Clarify model monitor
  
  Args:
      sagemaker_session (sagemaker.session.Session): Session object which
          manages interactions with Amazon SageMaker APIs and any other
          AWS services needed. If not specified, one is created using
          the default AWS configuration chain.
      job_name (str): The name of the monitoring execution job.
      output (sagemaker.Processing.ProcessingOutput): The output associated with the
          monitoring execution.
      output_kms_key (str): The output kms key associated with the job. Defaults to None
          if not provided.
code: def __init__(
      self,
      sagemaker_session,
      job_name,
      inputs,
      output,
      output_kms_key=None,
  ):
      """Initializes an object that tracks a monitoring execution by a Clarify model monitor
  
      Args:
          sagemaker_session (sagemaker.session.Session): Session object which
              manages interactions with Amazon SageMaker APIs and any other
              AWS services needed. If not specified, one is created using
              the default AWS configuration chain.
          job_name (str): The name of the monitoring execution job.
          output (sagemaker.Processing.ProcessingOutput): The output associated with the
              monitoring execution.
          output_kms_key (str): The output kms key associated with the job. Defaults to None
              if not provided.
      """
      super(ClarifyMonitoringExecution, self).__init__(
          sagemaker_session=sagemaker_session,
          job_name=job_name,
          inputs=inputs,
          output=output,
          output_kms_key=output_kms_key,
      )
  
imports: from __future__ import print_function, absolute_import
  import copy
  import json
  import logging
  import uuid
  from sagemaker.model_monitor import model_monitoring
  from sagemaker import image_uris, s3
  from sagemaker.session import Session
  from sagemaker.utils import name_from_base, format_tags
  from sagemaker.clarify import SageMakerClarifyProcessor, ModelPredictedLabelConfig
  from sagemaker.lineage._utils import get_resource_name_from_arn
label_desc: Use image node_id 1 to create a new ClarifyMonitoringExecution object from inherited base classes: mm with example: obj = ClarifyMonitoringExecution(sagemaker_session, job_name, inputs, output, output_kms_key)