list-predictors¶

Description¶

Returns a list of predictors created using the CreatePredictor operation. 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 DescribePredictor operation. You can filter the list using an array of Filter objects.

Synopsis¶

  list-predictors
[--filters <value>]
[--cli-input-json | --cli-input-yaml]
[--starting-token <value>]
[--page-size <value>]
[--max-items <value>]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]

Options¶

--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" } ]

(structure)

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)

The name of the parameter to filter on.

Value -> (string)

The value to match.

Condition -> (string)

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

Shorthand Syntax:

Key=string,Value=string,Condition=string ...

JSON Syntax:

[
  {
    "Key": "string",
    "Value": "string",
    "Condition": "IS"|"IS_NOT"
  }
  ...
]

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--starting-token (string)

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

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--page-size (integer)

The size of each page to get in the AWS service call. This does not affect the number of items returned in the command’s output. Setting a smaller page size results in more calls to the AWS service, retrieving fewer items in each call. This can help prevent the AWS service calls from timing out.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--max-items (integer)

The total number of items to return in the command’s output. If the total number of items available is more than the value specified, a NextToken is provided in the command’s output. To resume pagination, provide the NextToken value in the starting-token argument of a subsequent command. Do not use the NextToken response element directly outside of the AWS CLI.

For usage examples, see Pagination in the AWS Command Line Interface User Guide .

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

--cli-auto-prompt (boolean) Automatically prompt for CLI input parameters.

See ‘aws help’ for descriptions of global parameters.

Output¶

Predictors -> (list)

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

(structure)

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.

Status -> (string)

The status of the predictor. States include:

ACTIVE

CREATE_PENDING , CREATE_IN_PROGRESS , CREATE_FAILED

DELETE_PENDING , DELETE_IN_PROGRESS , DELETE_FAILED

UPDATE_PENDING , UPDATE_IN_PROGRESS , UPDATE_FAILED

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 -> (timestamp)

When the model training task was created.

LastModificationTime -> (timestamp)

Initially, the same as CreationTime (status is CREATE_PENDING ). Updated when training starts (status changed to CREATE_IN_PROGRESS ), and when training is complete (status changed to ACTIVE ) or fails (status changed to CREATE_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.

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