[ aws . forecast ]

describe-forecast

Description

Describes a forecast created using the CreateForecast operation.

In addition to listing the properties provided in the CreateForecast request, this operation lists the following properties:

• DatasetGroupArn - The dataset group that provided the training data.

• CreationTime

• LastModificationTime

• Status

• Message - If an error occurred, information about the error.

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  describe-forecast
--forecast-arn <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]

Options

--forecast-arn (string)

The Amazon Resource Name (ARN) of the forecast.

--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.

--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

ForecastArn -> (string)

The forecast ARN as specified in the request.

ForecastName -> (string)

The name of the forecast.

ForecastTypes -> (list)

The quantiles at which probabilistic forecasts were generated.

(string)

PredictorArn -> (string)

The ARN of the predictor used to generate the forecast.

DatasetGroupArn -> (string)

The ARN of the dataset group that provided the data used to train the predictor.

Status -> (string)

The status of the forecast. States include:

• ACTIVE

• CREATE_PENDING , CREATE_IN_PROGRESS , CREATE_FAILED

• DELETE_PENDING , DELETE_IN_PROGRESS , DELETE_FAILED

Note

The Status of the forecast must be ACTIVE before you can query or export the forecast.

Message -> (string)

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

CreationTime -> (timestamp)

When the forecast creation task was created.

LastModificationTime -> (timestamp)

Initially, the same as CreationTime (status is CREATE_PENDING ). Updated when inference (creating the forecast) starts (status changed to CREATE_IN_PROGRESS ), and when inference is complete (status changed to ACTIVE ) or fails (status changed to CREATE_FAILED ).