Class: Aws::SageMaker::Types::HyperParameterTuningJobObjective
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::HyperParameterTuningJobObjective
- Includes:
- Aws::Structure
- Defined in:
- lib/aws-sdk-sagemaker/types.rb
Overview
Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the ‘Type` parameter. If you want to define a custom objective metric, see [Define metrics and environment variables].
[1]: docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-metrics-variables.html
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#metric_name ⇒ String
The name of the metric to use for the objective metric.
-
#type ⇒ String
Whether to minimize or maximize the objective metric.
Instance Attribute Details
#metric_name ⇒ String
The name of the metric to use for the objective metric.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 23392 class HyperParameterTuningJobObjective < Struct.new( :type, :metric_name) SENSITIVE = [] include Aws::Structure end |
#type ⇒ String
Whether to minimize or maximize the objective metric.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 23392 class HyperParameterTuningJobObjective < Struct.new( :type, :metric_name) SENSITIVE = [] include Aws::Structure end |