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

FinalHyperParameterTuningJobObjectiveMetric

class FinalHyperParameterTuningJobObjectiveMetric

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.

Types

Builder

class Builder

Companion

object Companion

Properties

metricName

val metricName: 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.

type

val type: HyperParameterTuningJobObjectiveType?

Select if you want to minimize or maximize the objective metric during hyperparameter tuning.

value

val value: Float?

The value of the objective metric.

Functions

copy

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

equals

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

hashCode

open override fun hashCode(): Int

toString

open override fun toString(): String