class_docstr: Base class of Amazon SageMaker Explainability API model monitors.
  
  This class is an ``abstract base class``, please instantiate its subclasses
  if you want to monitor bias metrics or feature attribution of an endpoint.
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docstr: Get the list of the latest monitoring executions in descending order of "ScheduledTime".
  
  Returns:
      [sagemaker.model_monitor.ClarifyMonitoringExecution]: List of
          ClarifyMonitoringExecution in descending order of "ScheduledTime".
code: def list_executions(self):
      """Get the list of the latest monitoring executions in descending order of "ScheduledTime".
  
      Returns:
          [sagemaker.model_monitor.ClarifyMonitoringExecution]: List of
              ClarifyMonitoringExecution in descending order of "ScheduledTime".
      """
      executions = super(ClarifyModelMonitor, self).list_executions()
      return [
          ClarifyMonitoringExecution(
              sagemaker_session=execution.sagemaker_session,
              job_name=execution.job_name,
              inputs=execution.inputs,
              output=execution.output,
              output_kms_key=execution.output_kms_key,
          )
          for execution in executions
      ]
  
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 4 for calling the ClarifyModelMonitor obj's underlying member method code with example usage: obj.list_executions() and returns: unknown