DescribeAutoPredictorResponse

The timestamp of the CreateAutoPredictor request.

The data configuration for your dataset group and any additional datasets.

An array of the ARNs of the dataset import jobs used to import training data for the predictor.

An Key Management Service (KMS) key and an Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key. You can specify this optional object in the CreateDataset and CreatePredictor requests.

The estimated time remaining in minutes for the predictor training job to complete.

Provides the status and ARN of the Predictor Explainability.

An array of dimension (field) names that specify the attributes used to group your time series.

The frequency of predictions in a forecast.

The number of time-steps that the model predicts. The forecast horizon is also called the prediction length.

The forecast types used during predictor training. Default value is ["0.1","0.5","0.9"].

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

In the event of an error, a message detailing the cause of the error.

A object with the Amazon Resource Name (ARN) and status of the monitor resource.

The accuracy metric used to optimize the predictor.

The Amazon Resource Name (ARN) of the predictor

The name of the predictor.

The ARN and state of the reference predictor. This parameter is only valid for retrained or upgraded predictors.

The status of the predictor. States include:

The time boundary Forecast uses when aggregating data.