Class: Aws::ForecastService::Types::DescribePredictorResponse

Inherits:

Struct

• Object
• Struct
• Aws::ForecastService::Types::DescribePredictorResponse

Defined in:

gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb

Overview

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #algorithm_arn ⇒ String

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

• #auto_ml_algorithm_arns ⇒ Array<String>

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

• #auto_ml_override_strategy ⇒ String

  The LatencyOptimized AutoML override strategy is only available in private beta.

• #creation_time ⇒ Time

  When the model training task was created.

• #dataset_import_job_arns ⇒ Array<String>

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

• #encryption_config ⇒ Types::EncryptionConfig

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

• #estimated_time_remaining_in_minutes ⇒ Integer

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

• #evaluation_parameters ⇒ Types::EvaluationParameters

  Used to override the default evaluation parameters of the specified algorithm.

• #featurization_config ⇒ Types::FeaturizationConfig

  The featurization configuration.

• #forecast_horizon ⇒ Integer

  The number of time-steps of the forecast.

• #forecast_types ⇒ Array<String>

  The forecast types used during predictor training.

• #hpo_config ⇒ Types::HyperParameterTuningJobConfig

  The hyperparameter override values for the algorithm.

• #input_data_config ⇒ Types::InputDataConfig

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

• #is_auto_predictor ⇒ Boolean

  Whether the predictor was created with CreateAutoPredictor.

• #last_modification_time ⇒ Time

  The last time the resource was modified.

• #message ⇒ String

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

• #optimization_metric ⇒ String

  The accuracy metric used to optimize the predictor.

• #perform_auto_ml ⇒ Boolean

  Whether the predictor is set to perform AutoML.

• #perform_hpo ⇒ Boolean

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

• #predictor_arn ⇒ String

  The ARN of the predictor.

• #predictor_execution_details ⇒ Types::PredictorExecutionDetails

  Details on the the status and results of the backtests performed to evaluate the accuracy of the predictor.

• #predictor_name ⇒ String

  The name of the predictor.

• #status ⇒ String

  The status of the predictor.

• #training_parameters ⇒ Hash<String,String>

  The default training parameters or overrides selected during model training.

Instance Attribute Details

#algorithm_arn ⇒ String

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

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#auto_ml_algorithm_arns ⇒ Array<String>

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

Returns:

• (Array<String>)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#auto_ml_override_strategy ⇒ String

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.

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.

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#creation_time ⇒ Time

When the model training task was created.

Returns:

• (Time)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#dataset_import_job_arns ⇒ Array<String>

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

Returns:

• (Array<String>)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#encryption_config ⇒ Types::EncryptionConfig

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

Returns:

• (Types::EncryptionConfig)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#estimated_time_remaining_in_minutes ⇒ Integer

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

Returns:

• (Integer)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#evaluation_parameters ⇒ Types::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.

Returns:

• (Types::EvaluationParameters)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#featurization_config ⇒ Types::FeaturizationConfig

The featurization configuration.

Returns:

• (Types::FeaturizationConfig)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#forecast_horizon ⇒ Integer

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

Returns:

• (Integer)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#forecast_types ⇒ Array<String>

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

Returns:

• (Array<String>)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#hpo_config ⇒ Types::HyperParameterTuningJobConfig

The hyperparameter override values for the algorithm.

Returns:

• (Types::HyperParameterTuningJobConfig)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#input_data_config ⇒ Types::InputDataConfig

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

Returns:

• (Types::InputDataConfig)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#is_auto_predictor ⇒ Boolean

Whether the predictor was created with CreateAutoPredictor.

Returns:

• (Boolean)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#last_modification_time ⇒ Time

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.

Returns:

• (Time)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#message ⇒ String

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

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#optimization_metric ⇒ String

The accuracy metric used to optimize the predictor.

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#perform_auto_ml ⇒ Boolean

Whether the predictor is set to perform AutoML.

Returns:

• (Boolean)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#perform_hpo ⇒ Boolean

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

Returns:

• (Boolean)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#predictor_arn ⇒ String

The ARN of the predictor.

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#predictor_execution_details ⇒ Types::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.

Returns:

• (Types::PredictorExecutionDetails)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#predictor_name ⇒ String

The name of the predictor.

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#status ⇒ String

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

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

Returns:

• (String)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end

#training_parameters ⇒ Hash<String,String>

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.

Returns:

• (Hash<String,String>)

# File 'gems/aws-sdk-forecastservice/lib/aws-sdk-forecastservice/types.rb', line 3456

class DescribePredictorResponse < Struct.new(
  :predictor_arn,
  :predictor_name,
  :algorithm_arn,
  :auto_ml_algorithm_arns,
  :forecast_horizon,
  :forecast_types,
  :perform_auto_ml,
  :auto_ml_override_strategy,
  :perform_hpo,
  :training_parameters,
  :evaluation_parameters,
  :hpo_config,
  :input_data_config,
  :featurization_config,
  :encryption_config,
  :predictor_execution_details,
  :estimated_time_remaining_in_minutes,
  :is_auto_predictor,
  :dataset_import_job_arns,
  :status,
  :message,
  :creation_time,
  :last_modification_time,
  :optimization_metric)
  SENSITIVE = []
  include Aws::Structure
end