DescribePredictorResponse
Types
Properties
The Amazon Resource Name (ARN) of the algorithm used for model training.
When PerformAutoML is specified, the ARN of the chosen algorithm.
The LatencyOptimized AutoML override strategy is only available in private beta. Contact Amazon Web Services Support or your account manager to learn more about access privileges.
When the model training task was created.
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 the Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.
The estimated time remaining in minutes for the predictor training job to complete.
Used to override the default evaluation parameters of the specified algorithm. Amazon Forecast evaluates a predictor by splitting a dataset into training data and testing data. The evaluation parameters define how to perform the split and the number of iterations.
The featurization configuration.
The number of time-steps of the forecast. 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 hyperparameter override values for the algorithm.
Describes the dataset group that contains the data to use to train the predictor.
Whether the predictor was created with CreateAutoPredictor.
The last time the resource was modified. The timestamp depends on the status of the job:
The accuracy metric used to optimize the predictor.
Whether the predictor is set to perform AutoML.
Whether the predictor is set to perform hyperparameter optimization (HPO).
The ARN of the predictor.
Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor. You specify the number of backtests to perform when you call the operation.
The name of the predictor.
The default training parameters or overrides selected during model training. When running AutoML or choosing HPO with CNN-QR or DeepAR+, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.