sagemaker/aws.sdk.kotlin.services.sagemaker.model/MetricDefinition

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.

Types

Builder

class Builder

Companion

object Companion

Properties

name

val name: String?

The name of the metric.

regex

val 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.

Functions

copy

inline fun copy(block: MetricDefinition.Builder.() -> Unit = {}): MetricDefinition

equals

open operator override fun equals(other: Any?): Boolean

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String