ListPredictors

class ForecastService.Paginator.ListPredictors

paginator = client.get_paginator('list_predictors')

paginate(**kwargs)

Creates an iterator that will paginate through responses from ForecastService.Client.list_predictors().

See also: AWS API Documentation

Request Syntax

response_iterator = paginator.paginate(
    Filters=[
        {
            'Key': 'string',
            'Value': 'string',
            'Condition': 'IS'|'IS_NOT'
        },
    ],
    PaginationConfig={
        'MaxItems': 123,
        'PageSize': 123,
        'StartingToken': 'string'
    }
)

Parameters

• 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 .

• PaginationConfig (dict) --

  A dictionary that provides parameters to control pagination.

  • MaxItems (integer) --

    The total number of items to return. If the total number of items available is more than the value specified in max-items then a NextToken will be provided in the output that you can use to resume pagination.

  • PageSize (integer) --

    The size of each page.

  • StartingToken (string) --

    A token to specify where to start paginating. This is the NextToken from a previous response.

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)
        },
    ],

}

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.