ForecastService / Client / list_predictors

list_predictors#

ForecastService.Client.list_predictors(**kwargs)#

Returns a list of predictors created using the CreateAutoPredictor or CreatePredictor operations. For each predictor, this operation returns a summary of its properties, including its Amazon Resource Name (ARN).

You can retrieve the complete set of properties by using the ARN with the DescribeAutoPredictor and DescribePredictor operations. You can filter the list using an array of Filter objects.

See also: AWS API Documentation

Request Syntax

response = client.list_predictors(
    NextToken='string',
    MaxResults=123,
    Filters=[
        {
            'Key': 'string',
            'Value': 'string',
            'Condition': 'IS'|'IS_NOT'
        },
    ]
)
Parameters:

  • NextToken (string) – If the result of the previous request was truncated, the response includes a NextToken. To retrieve the next set of results, use the token in the next request. Tokens expire after 24 hours.

  • MaxResults (integer) – The number of items to return in the response.

  • Filters (list) –

    An array of filters. For each filter, you provide a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the predictors that match the statement from the list, respectively. The match statement consists of a key and a value.

    Filter properties

    • Condition - The condition to apply. Valid values are IS and IS_NOT. To include the predictors that match the statement, specify IS. To exclude matching predictors, specify IS_NOT.

    • Key - The name of the parameter to filter on. Valid values are DatasetGroupArn and Status.

    • Value - The value to match.

    For example, to list all predictors whose status is ACTIVE, you would specify:

    "Filters": [ { "Condition": "IS", "Key": "Status", "Value": "ACTIVE" } ]

    • (dict) –

      Describes a filter for choosing a subset of objects. Each filter consists of a condition and a match statement. The condition is either IS or IS_NOT, which specifies whether to include or exclude the objects that match the statement, respectively. The match statement consists of a key and a value.

      • Key (string) – [REQUIRED]

        The name of the parameter to filter on.

      • Value (string) – [REQUIRED]

        The value to match.

      • Condition (string) – [REQUIRED]

        The condition to apply. To include the objects that match the statement, specify IS. To exclude matching objects, specify IS_NOT.

Return type:

dict

Returns:

Response Syntax

{
    'Predictors': [
        {
            'PredictorArn': 'string',
            'PredictorName': 'string',
            'DatasetGroupArn': 'string',
            'IsAutoPredictor': True|False,
            'ReferencePredictorSummary': {
                'Arn': 'string',
                'State': 'Active'|'Deleted'
            },
            'Status': 'string',
            'Message': 'string',
            'CreationTime': datetime(2015, 1, 1),
            'LastModificationTime': datetime(2015, 1, 1)
        },
    ],
    'NextToken': 'string'
}

Response Structure

  • (dict) –

    • Predictors (list) –

      An array of objects that summarize each predictor’s properties.

      • (dict) –

        Provides a summary of the predictor properties that are used in the ListPredictors operation. To get the complete set of properties, call the DescribePredictor operation, and provide the listed PredictorArn.

        • PredictorArn (string) –

          The ARN of the predictor.

        • PredictorName (string) –

          The name of the predictor.

        • DatasetGroupArn (string) –

          The Amazon Resource Name (ARN) of the dataset group that contains the data used to train the predictor.

        • IsAutoPredictor (boolean) –

          Whether AutoPredictor was used to create the predictor.

        • ReferencePredictorSummary (dict) –

          A summary of the reference predictor used if the predictor was retrained or upgraded.

          • Arn (string) –

            The ARN of the reference predictor.

          • State (string) –

            Whether the reference predictor is Active or Deleted.

        • Status (string) –

          The status of the predictor. States include:

          • ACTIVE

          • CREATE_PENDING, CREATE_IN_PROGRESS, CREATE_FAILED

          • DELETE_PENDING, DELETE_IN_PROGRESS, DELETE_FAILED

          • CREATE_STOPPING, CREATE_STOPPED

          Note

          The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

        • Message (string) –

          If an error occurred, an informational message about the error.

        • CreationTime (datetime) –

          When the model training task was created.

        • LastModificationTime (datetime) –

          The last time the resource was modified. The timestamp depends on the status of the job:

          • CREATE_PENDING - The CreationTime.

          • CREATE_IN_PROGRESS - The current timestamp.

          • CREATE_STOPPING - The current timestamp.

          • CREATE_STOPPED - When the job stopped.

          • ACTIVE or CREATE_FAILED - When the job finished or failed.

    • NextToken (string) –

      If the response is truncated, Amazon Forecast returns this token. To retrieve the next set of results, use the token in the next request.

Exceptions