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 / 
Paws-0.42
River stage two • 9 direct dependents • 11 total dependents
/ Paws::Forecast::DescribePredictorResponse

NAME

Paws::Forecast::DescribePredictorResponse

ATTRIBUTES

AlgorithmArn => Str

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

AutoMLAlgorithmArns => ArrayRef[Str|Undef]

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

CreationTime => Str

When the model training task was created.

DatasetImportJobArns => ArrayRef[Str|Undef]

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

EncryptionConfig => Paws::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.

EvaluationParameters => Paws::Forecast::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.

FeaturizationConfig => Paws::Forecast::FeaturizationConfig

The featurization configuration.

ForecastHorizon => Int

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

HPOConfig => Paws::Forecast::HyperParameterTuningJobConfig

The hyperparameter override values for the algorithm.

InputDataConfig => Paws::Forecast::InputDataConfig

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

LastModificationTime => Str

Initially, the same as CreationTime (when the status is CREATE_PENDING). This value is updated when training starts (when the status changes to CREATE_IN_PROGRESS), and when training has completed (when the status changes to ACTIVE) or fails (when the status changes to CREATE_FAILED).

Message => Str

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

PerformAutoML => Bool

Whether the predictor is set to perform AutoML.

PerformHPO => Bool

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

PredictorArn => Str

The ARN of the predictor.

PredictorExecutionDetails => Paws::Forecast::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 operation.

PredictorName => Str

The name of the predictor.

Status => Str

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

The Status of the predictor must be ACTIVE before you can use the predictor to create a forecast.

TrainingParameters => Paws::Forecast::TrainingParameters

The default training parameters or overrides selected during model training. If using the AutoML algorithm or if HPO is turned on while using the DeepAR+ algorithms, the optimized values for the chosen hyperparameters are returned. For more information, see aws-forecast-choosing-recipes.

_request_id => Str