batch_put_metrics

batch_put_metrics(**kwargs)

Used to ingest training metrics into SageMaker. These metrics can be visualized in SageMaker Studio and retrieved with the GetMetrics API.

See also: AWS API Documentation

Request Syntax

response = client.batch_put_metrics(
    TrialComponentName='string',
    MetricData=[
        {
            'MetricName': 'string',
            'Timestamp': datetime(2015, 1, 1),
            'Step': 123,
            'Value': 123.0
        },
    ]
)

Parameters

• TrialComponentName (string) --

  [REQUIRED]

  The name of the Trial Component to associate with the metrics.

• MetricData (list) --

  [REQUIRED]

  A list of raw metric values to put.

  • (dict) --

    The raw metric data to associate with the resource.

    • MetricName (string) -- [REQUIRED]

      The name of the metric.

    • Timestamp (datetime) -- [REQUIRED]

      The time that the metric was recorded.

    • Step (integer) --

      The metric step (epoch).

    • Value (float) -- [REQUIRED]

      The metric value.

Return type

dict

Returns

Response Syntax

{
    'Errors': [
        {
            'Code': 'METRIC_LIMIT_EXCEEDED'|'INTERNAL_ERROR'|'VALIDATION_ERROR'|'CONFLICT_ERROR',
            'MetricIndex': 123
        },
    ]
}

Response Structure

• (dict) --

  • Errors (list) --

    Lists any errors that occur when inserting metric data.

    • (dict) --

      An error that occured when putting the metric data.

      • Code (string) --

        The error code of an error that occured when attempting to put metrics.

        • METRIC_LIMIT_EXCEEDED : The maximum amount of metrics per resource is exceeded.
        • INTERNAL_ERROR : An internal error occured.
        • VALIDATION_ERROR : The metric data failed validation.
        • CONFLICT_ERROR : Multiple requests attempted to modify the same data simultaneously.

      • MetricIndex (integer) --

        An index that corresponds to the metric in the request.