HyperParameterTuningJobConfig
import type { HyperParameterTuningJobConfig } from "https://aws-api.deno.dev/v0.3/services/sagemaker.ts?docs=full";Configures a hyperparameter tuning job.
§Properties
The "HyperParameterTuningJobObjective" object that specifies the objective metric for this tuning job.
The "ParameterRanges" object that specifies the ranges of hyperparameters that this tuning job searches.
The "ResourceLimits" object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.
Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches.
To use the Bayesian search strategy, set this to Bayesian.
To randomly search, set it to Random.
For information about search strategies, see How Hyperparameter Tuning Works.
Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job.
This can be one of the following values (the default value is OFF):
OFF: Training jobs launched by the hyperparameter tuning job do not use early stopping.
AUTO: Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
The tuning job's completion criteria.