Request Syntax Request Parameters Response Syntax Response Elements Errors See Also

DescribePredictor

Note

This operation is only valid for legacy predictors created with CreatePredictor. If you are not using a legacy predictor, use DescribeAutoPredictor.

Describes a predictor created using the CreatePredictor operation.

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

DatasetImportJobArns - The dataset import jobs used to import training data.
AutoMLAlgorithmArns - If AutoML is performed, the algorithms that were evaluated.
CreationTime
LastModificationTime
Status
Message - If an error occurred, information about the error.

Request Syntax


{
   "PredictorArn": "string"
}

Request Parameters

The request accepts the following data in JSON format.

PredictorArn

The Amazon Resource Name (ARN) of the predictor that you want information about.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):forecast:.*:.*:.+

Required: Yes

Response Syntax


{
   "AlgorithmArn": "string",
   "AutoMLAlgorithmArns": [ "string" ],
   "AutoMLOverrideStrategy": "string",
   "CreationTime": number,
   "DatasetImportJobArns": [ "string" ],
   "EncryptionConfig": { 
      "KMSKeyArn": "string",
      "RoleArn": "string"
   },
   "EstimatedTimeRemainingInMinutes": number,
   "EvaluationParameters": { 
      "BackTestWindowOffset": number,
      "NumberOfBacktestWindows": number
   },
   "FeaturizationConfig": { 
      "Featurizations": [ 
         { 
            "AttributeName": "string",
            "FeaturizationPipeline": [ 
               { 
                  "FeaturizationMethodName": "string",
                  "FeaturizationMethodParameters": { 
                     "string" : "string" 
                  }
               }
            ]
         }
      ],
      "ForecastDimensions": [ "string" ],
      "ForecastFrequency": "string"
   },
   "ForecastHorizon": number,
   "ForecastTypes": [ "string" ],
   "HPOConfig": { 
      "ParameterRanges": { 
         "CategoricalParameterRanges": [ 
            { 
               "Name": "string",
               "Values": [ "string" ]
            }
         ],
         "ContinuousParameterRanges": [ 
            { 
               "MaxValue": number,
               "MinValue": number,
               "Name": "string",
               "ScalingType": "string"
            }
         ],
         "IntegerParameterRanges": [ 
            { 
               "MaxValue": number,
               "MinValue": number,
               "Name": "string",
               "ScalingType": "string"
            }
         ]
      }
   },
   "InputDataConfig": { 
      "DatasetGroupArn": "string",
      "SupplementaryFeatures": [ 
         { 
            "Name": "string",
            "Value": "string"
         }
      ]
   },
   "IsAutoPredictor": boolean,
   "LastModificationTime": number,
   "Message": "string",
   "OptimizationMetric": "string",
   "PerformAutoML": boolean,
   "PerformHPO": boolean,
   "PredictorArn": "string",
   "PredictorExecutionDetails": { 
      "PredictorExecutions": [ 
         { 
            "AlgorithmArn": "string",
            "TestWindows": [ 
               { 
                  "Message": "string",
                  "Status": "string",
                  "TestWindowEnd": number,
                  "TestWindowStart": number
               }
            ]
         }
      ]
   },
   "PredictorName": "string",
   "Status": "string",
   "TrainingParameters": { 
      "string" : "string" 
   }
}

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

AlgorithmArn

The Amazon Resource Name (ARN) of the algorithm used for model training.

Type: String

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):forecast:.*:.*:.+

AutoMLAlgorithmArns

When PerformAutoML is specified, the ARN of the chosen algorithm.

Type: Array of strings

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):forecast:.*:.*:.+

AutoMLOverrideStrategy

Note

The LatencyOptimized AutoML override strategy is only available in private beta. Contact AWS Support or your account manager to learn more about access privileges.

The AutoML strategy used to train the predictor. Unless LatencyOptimized is specified, the AutoML strategy optimizes predictor accuracy.

This parameter is only valid for predictors trained using AutoML.

Type: String

Valid Values: LatencyOptimized | AccuracyOptimized

CreationTime

When the model training task was created.

Type: Timestamp

DatasetImportJobArns

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

Type: Array of strings

Length Constraints: Maximum length of 256.

Pattern: arn:([a-z\d-]+):forecast:.*:.*:.+

EncryptionConfig

An AWS Key Management Service (KMS) key and the AWS Identity and Access Management (IAM) role that Amazon Forecast can assume to access the key.

Type: EncryptionConfig object

EstimatedTimeRemainingInMinutes

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

Type: Long

EvaluationParameters

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.

Type: EvaluationParameters object

FeaturizationConfig

The featurization configuration.

Type: FeaturizationConfig object

ForecastHorizon

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

Type: Integer

ForecastTypes

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

Type: Array of strings

Array Members: Minimum number of 1 item. Maximum number of 20 items.

Length Constraints: Minimum length of 2. Maximum length of 4.

Pattern: (^0?\.\d\d?$|^mean$)

HPOConfig

The hyperparameter override values for the algorithm.

Type: HyperParameterTuningJobConfig object

InputDataConfig

Describes the dataset group that contains the data to use to train the predictor.

Type: InputDataConfig object

IsAutoPredictor

Whether the predictor was created with CreateAutoPredictor.

Type: Boolean

LastModificationTime

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.

Type: Timestamp

Message

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

Type: String

OptimizationMetric

The accuracy metric used to optimize the predictor.

Type: String

Valid Values: WAPE | RMSE | AverageWeightedQuantileLoss | MASE | MAPE

PerformAutoML

Whether the predictor is set to perform AutoML.

Type: Boolean

PerformHPO

Whether the predictor is set to perform hyperparameter optimization (HPO).

Type: Boolean

PredictorArn

The ARN of the predictor.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z][a-zA-Z0-9_]*

PredictorExecutionDetails

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 CreatePredictor operation.

Type: PredictorExecutionDetails object

PredictorName

The name of the predictor.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 63.

Pattern: ^[a-zA-Z][a-zA-Z0-9_]*

Status

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.

Type: String

Length Constraints: Maximum length of 256.

TrainingParameters

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 Amazon Forecast Algorithms.

Type: String to string map

Map Entries: Minimum number of 0 items. Maximum number of 100 items.

Key Length Constraints: Maximum length of 256.

Key Pattern: ^[a-zA-Z0-9\-\_\.\/\[\]\,\\]+$

Value Length Constraints: Maximum length of 256.

Value Pattern: ^[a-zA-Z0-9\-\_\.\/\[\]\,\"\\\s]+$

Errors

InvalidInputException

We can't process the request because it includes an invalid value or a value that exceeds the valid range.

HTTP Status Code: 400

ResourceNotFoundException

We can't find a resource with that Amazon Resource Name (ARN). Check the ARN and try again.

HTTP Status Code: 400