MetricDefinition
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.
Contents
- Name
-
The name of the metric.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 255.
Pattern:
.+Required: Yes
- Regex
-
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.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 500.
Pattern:
.+Required: Yes
See Also
For more information about using this API in one of the language-specific Amazon SDKs, see the following: