Class: Aws::SageMaker::Types::FinalHyperParameterTuningJobObjectiveMetric

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

Shows the latest objective metric emitted by a training job that was launched by a hyperparameter tuning job. You define the objective metric in the ‘HyperParameterTuningJobObjective` parameter of [HyperParameterTuningJobConfig].

[1]: docs.aws.amazon.com/sagemaker/latest/APIReference/API_HyperParameterTuningJobConfig.html

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#metric_name ⇒ String

The name of the objective metric. For SageMaker built-in algorithms, metrics are defined per algorithm. See the [metrics for XGBoost] as an example. You can also use a custom algorithm for training and define your own metrics. For more information, see [Define metrics and environment variables].

[1]: docs.aws.amazon.com/sagemaker/latest/dg/xgboost-tuning.html [2]: docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics-variables.html

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 21010

class FinalHyperParameterTuningJobObjectiveMetric < Struct.new(
  :type,
  :metric_name,
  :value)
  SENSITIVE = []
  include Aws::Structure
end

#type ⇒ String

Select if you want to minimize or maximize the objective metric during hyperparameter tuning.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 21010

class FinalHyperParameterTuningJobObjectiveMetric < Struct.new(
  :type,
  :metric_name,
  :value)
  SENSITIVE = []
  include Aws::Structure
end

#value ⇒ Float

The value of the objective metric.

Returns:

  • (Float) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 21010

class FinalHyperParameterTuningJobObjectiveMetric < Struct.new(
  :type,
  :metric_name,
  :value)
  SENSITIVE = []
  include Aws::Structure
end