SageMaker / Client / list_monitoring_executions



Returns list of all monitoring job executions.

See also: AWS API Documentation

Request Syntax

response = client.list_monitoring_executions(
    ScheduledTimeBefore=datetime(2015, 1, 1),
    ScheduledTimeAfter=datetime(2015, 1, 1),
    CreationTimeBefore=datetime(2015, 1, 1),
    CreationTimeAfter=datetime(2015, 1, 1),
    LastModifiedTimeBefore=datetime(2015, 1, 1),
    LastModifiedTimeAfter=datetime(2015, 1, 1),
  • MonitoringScheduleName (string) – Name of a specific schedule to fetch jobs for.

  • EndpointName (string) – Name of a specific endpoint to fetch jobs for.

  • SortBy (string) – Whether to sort results by Status, CreationTime, ScheduledTime field. The default is CreationTime.

  • SortOrder (string) – Whether to sort the results in Ascending or Descending order. The default is Descending.

  • NextToken (string) – The token returned if the response is truncated. To retrieve the next set of job executions, use it in the next request.

  • MaxResults (integer) – The maximum number of jobs to return in the response. The default value is 10.

  • ScheduledTimeBefore (datetime) – Filter for jobs scheduled before a specified time.

  • ScheduledTimeAfter (datetime) – Filter for jobs scheduled after a specified time.

  • CreationTimeBefore (datetime) – A filter that returns only jobs created before a specified time.

  • CreationTimeAfter (datetime) – A filter that returns only jobs created after a specified time.

  • LastModifiedTimeBefore (datetime) – A filter that returns only jobs modified after a specified time.

  • LastModifiedTimeAfter (datetime) – A filter that returns only jobs modified before a specified time.

  • StatusEquals (string) – A filter that retrieves only jobs with a specific status.

  • MonitoringJobDefinitionName (string) – Gets a list of the monitoring job runs of the specified monitoring job definitions.

  • MonitoringTypeEquals (string) – A filter that returns only the monitoring job runs of the specified monitoring type.

Return type:



Response Syntax

    'MonitoringExecutionSummaries': [
            'MonitoringScheduleName': 'string',
            'ScheduledTime': datetime(2015, 1, 1),
            'CreationTime': datetime(2015, 1, 1),
            'LastModifiedTime': datetime(2015, 1, 1),
            'MonitoringExecutionStatus': 'Pending'|'Completed'|'CompletedWithViolations'|'InProgress'|'Failed'|'Stopping'|'Stopped',
            'ProcessingJobArn': 'string',
            'EndpointName': 'string',
            'FailureReason': 'string',
            'MonitoringJobDefinitionName': 'string',
            'MonitoringType': 'DataQuality'|'ModelQuality'|'ModelBias'|'ModelExplainability'
    'NextToken': 'string'

Response Structure

  • (dict) –

    • MonitoringExecutionSummaries (list) –

      A JSON array in which each element is a summary for a monitoring execution.

      • (dict) –

        Summary of information about the last monitoring job to run.

        • MonitoringScheduleName (string) –

          The name of the monitoring schedule.

        • ScheduledTime (datetime) –

          The time the monitoring job was scheduled.

        • CreationTime (datetime) –

          The time at which the monitoring job was created.

        • LastModifiedTime (datetime) –

          A timestamp that indicates the last time the monitoring job was modified.

        • MonitoringExecutionStatus (string) –

          The status of the monitoring job.

        • ProcessingJobArn (string) –

          The Amazon Resource Name (ARN) of the monitoring job.

        • EndpointName (string) –

          The name of the endpoint used to run the monitoring job.

        • FailureReason (string) –

          Contains the reason a monitoring job failed, if it failed.

        • MonitoringJobDefinitionName (string) –

          The name of the monitoring job.

        • MonitoringType (string) –

          The type of the monitoring job.

    • NextToken (string) –

      If the response is truncated, Amazon SageMaker returns this token. To retrieve the next set of jobs, use it in the subsequent reques