Values_1.FinalHyperParameterTuningJobObjectiveMetricSourceShows 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.
type nonrec t = {type_ : Values_0.HyperParameterTuningJobObjectiveType.t option;Select if you want to minimize or maximize the objective metric during hyperparameter tuning.
*)metricName : Values_0.MetricName.t option;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.
*)value : Values_0.MetricValue.t option;The value of the objective metric.
*)}val to_value :
t ->
[> `Structure of
(string
* [> `Enum of string
| `Float of Values_0.MetricValue.t
| `String of Values_0.MetricName.t ])
list ]