public static interface FinalHyperParameterTuningJobObjectiveMetric.Builder extends SdkPojo, CopyableBuilder<FinalHyperParameterTuningJobObjectiveMetric.Builder,FinalHyperParameterTuningJobObjectiveMetric>
| Modifier and Type | Method and Description |
|---|---|
FinalHyperParameterTuningJobObjectiveMetric.Builder |
metricName(String metricName)
The name of the objective metric.
|
FinalHyperParameterTuningJobObjectiveMetric.Builder |
type(HyperParameterTuningJobObjectiveType type)
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
|
FinalHyperParameterTuningJobObjectiveMetric.Builder |
type(String type)
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
|
FinalHyperParameterTuningJobObjectiveMetric.Builder |
value(Float value)
The value of the objective metric.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildFinalHyperParameterTuningJobObjectiveMetric.Builder type(String type)
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
type - Select if you want to minimize or maximize the objective metric during hyperparameter tuning.HyperParameterTuningJobObjectiveType,
HyperParameterTuningJobObjectiveTypeFinalHyperParameterTuningJobObjectiveMetric.Builder type(HyperParameterTuningJobObjectiveType type)
Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
type - Select if you want to minimize or maximize the objective metric during hyperparameter tuning.HyperParameterTuningJobObjectiveType,
HyperParameterTuningJobObjectiveTypeFinalHyperParameterTuningJobObjectiveMetric.Builder metricName(String metricName)
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.
metricName - 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.FinalHyperParameterTuningJobObjectiveMetric.Builder value(Float value)
The value of the objective metric.
value - The value of the objective metric.Copyright © 2023. All rights reserved.