LookoutEquipment / Client / list_inference_executions

list_inference_executions

LookoutEquipment.Client.list_inference_executions(**kwargs)

Lists all inference executions that have been performed by the specified inference scheduler.

See also: AWS API Documentation

Request Syntax

response = client.list_inference_executions(
    NextToken='string',
    MaxResults=123,
    InferenceSchedulerName='string',
    DataStartTimeAfter=datetime(2015, 1, 1),
    DataEndTimeBefore=datetime(2015, 1, 1),
    Status='IN_PROGRESS'|'SUCCESS'|'FAILED'
)

Parameters:

• NextToken (string) – An opaque pagination token indicating where to continue the listing of inference executions.

• MaxResults (integer) – Specifies the maximum number of inference executions to list.

• InferenceSchedulerName (string) –

  [REQUIRED]

  The name of the inference scheduler for the inference execution listed.

• DataStartTimeAfter (datetime) – The time reference in the inferenced dataset after which Amazon Lookout for Equipment started the inference execution.

• DataEndTimeBefore (datetime) – The time reference in the inferenced dataset before which Amazon Lookout for Equipment stopped the inference execution.

• Status (string) – The status of the inference execution.

Return type:

dict

Returns:

Response Syntax

{
    'NextToken': 'string',
    'InferenceExecutionSummaries': [
        {
            'ModelName': 'string',
            'ModelArn': 'string',
            'InferenceSchedulerName': 'string',
            'InferenceSchedulerArn': 'string',
            'ScheduledStartTime': datetime(2015, 1, 1),
            'DataStartTime': datetime(2015, 1, 1),
            'DataEndTime': datetime(2015, 1, 1),
            'DataInputConfiguration': {
                'S3InputConfiguration': {
                    'Bucket': 'string',
                    'Prefix': 'string'
                },
                'InputTimeZoneOffset': 'string',
                'InferenceInputNameConfiguration': {
                    'TimestampFormat': 'string',
                    'ComponentTimestampDelimiter': 'string'
                }
            },
            'DataOutputConfiguration': {
                'S3OutputConfiguration': {
                    'Bucket': 'string',
                    'Prefix': 'string'
                },
                'KmsKeyId': 'string'
            },
            'CustomerResultObject': {
                'Bucket': 'string',
                'Key': 'string'
            },
            'Status': 'IN_PROGRESS'|'SUCCESS'|'FAILED',
            'FailedReason': 'string',
            'ModelVersion': 123,
            'ModelVersionArn': 'string'
        },
    ]
}

Response Structure

• (dict) –

  • NextToken (string) –

    An opaque pagination token indicating where to continue the listing of inference executions.

  • InferenceExecutionSummaries (list) –

    Provides an array of information about the individual inference executions returned from the ListInferenceExecutions operation, including model used, inference scheduler, data configuration, and so on.

    Note

    If you don’t supply the InferenceSchedulerName request parameter, or if you supply the name of an inference scheduler that doesn’t exist, ListInferenceExecutions returns an empty array in InferenceExecutionSummaries.

    • (dict) –

      Contains information about the specific inference execution, including input and output data configuration, inference scheduling information, status, and so on.

      • ModelName (string) –

        The name of the machine learning model being used for the inference execution.

      • ModelArn (string) –

        The Amazon Resource Name (ARN) of the machine learning model used for the inference execution.

      • InferenceSchedulerName (string) –

        The name of the inference scheduler being used for the inference execution.

      • InferenceSchedulerArn (string) –

        The Amazon Resource Name (ARN) of the inference scheduler being used for the inference execution.

      • ScheduledStartTime (datetime) –

        Indicates the start time at which the inference scheduler began the specific inference execution.

      • DataStartTime (datetime) –

        Indicates the time reference in the dataset at which the inference execution began.

      • DataEndTime (datetime) –

        Indicates the time reference in the dataset at which the inference execution stopped.

      • DataInputConfiguration (dict) –

        Specifies configuration information for the input data for the inference scheduler, including delimiter, format, and dataset location.

        • S3InputConfiguration (dict) –

          Specifies configuration information for the input data for the inference, including Amazon S3 location of input data.

          • Bucket (string) –

            The bucket containing the input dataset for the inference.

          • Prefix (string) –

            The prefix for the S3 bucket used for the input data for the inference.

        • InputTimeZoneOffset (string) –

          Indicates the difference between your time zone and Coordinated Universal Time (UTC).

        • InferenceInputNameConfiguration (dict) –

          Specifies configuration information for the input data for the inference, including timestamp format and delimiter.

          • TimestampFormat (string) –

            The format of the timestamp, whether Epoch time, or standard, with or without hyphens (-).

          • ComponentTimestampDelimiter (string) –

            Indicates the delimiter character used between items in the data.

      • DataOutputConfiguration (dict) –

        Specifies configuration information for the output results from for the inference execution, including the output Amazon S3 location.

        • S3OutputConfiguration (dict) –

          Specifies configuration information for the output results from for the inference, output S3 location.

          • Bucket (string) –

            The bucket containing the output results from the inference

          • Prefix (string) –

            The prefix for the S3 bucket used for the output results from the inference.

        • KmsKeyId (string) –

          The ID number for the KMS key key used to encrypt the inference output.

      • CustomerResultObject (dict) –

        The S3 object that the inference execution results were uploaded to.

        • Bucket (string) –

          The name of the specific S3 bucket.

        • Key (string) –

          The Amazon Web Services Key Management Service (KMS key) key being used to encrypt the S3 object. Without this key, data in the bucket is not accessible.

      • Status (string) –

        Indicates the status of the inference execution.

      • FailedReason (string) –

        Specifies the reason for failure when an inference execution has failed.

      • ModelVersion (integer) –

        The model version used for the inference execution.

      • ModelVersionArn (string) –

        The Amazon Resource Number (ARN) of the model version used for the inference execution.

Exceptions

• LookoutEquipment.Client.exceptions.ValidationException

• LookoutEquipment.Client.exceptions.ThrottlingException

• LookoutEquipment.Client.exceptions.ResourceNotFoundException

• LookoutEquipment.Client.exceptions.AccessDeniedException

• LookoutEquipment.Client.exceptions.InternalServerException