Class: Aws::SageMaker::Types::FinalHyperParameterTuningJobObjectiveMetric
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::FinalHyperParameterTuningJobObjectiveMetric
- Defined in:
- gems/aws-sdk-sagemaker/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.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#metric_name ⇒ String
The name of the objective metric.
-
#type ⇒ String
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
-
#value ⇒ Float
The value of the objective metric.
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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22057 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.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22057 class FinalHyperParameterTuningJobObjectiveMetric < Struct.new( :type, :metric_name, :value) SENSITIVE = [] include Aws::Structure end |
#value ⇒ Float
The value of the objective metric.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 22057 class FinalHyperParameterTuningJobObjectiveMetric < Struct.new( :type, :metric_name, :value) SENSITIVE = [] include Aws::Structure end |