Class: Aws::SageMaker::Types::MetricDefinition
- Inherits:
-
Struct
- Object
- Struct
- Aws::SageMaker::Types::MetricDefinition
- Defined in:
- gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb
Overview
Specifies a metric that the training algorithm writes to stderr
or
stdout
. You can view these logs to understand how your training job
performs and check for any errors encountered during training.
SageMaker hyperparameter tuning captures all defined metrics. Specify
one of the defined metrics to use as an objective metric using the
TuningObjective parameter in the
HyperParameterTrainingJobDefinition
API to evaluate job performance
during hyperparameter tuning.
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#name ⇒ String
The name of the metric.
-
#regex ⇒ String
A regular expression that searches the output of a training job and gets the value of the metric.
Instance Attribute Details
#name ⇒ String
The name of the metric.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 30190 class MetricDefinition < Struct.new( :name, :regex) SENSITIVE = [] include Aws::Structure end |
#regex ⇒ String
A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining metrics and environment variables.
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# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 30190 class MetricDefinition < Struct.new( :name, :regex) SENSITIVE = [] include Aws::Structure end |