Builder

Lists the algorithm hyperparameters and their values.

The AutoMLConfig object containing a list of recipes to search when AutoML is performed.

Only events with a value greater than or equal to this threshold are used for training a model.

Lists the feature transformation parameters.

Describes the properties for hyperparameter optimization (HPO).

Describes the additional objective for the solution, such as maximizing streaming minutes or increasing revenue. For more information see Optimizing a solution.

Specifies the training data configuration to use when creating a custom solution version (trained model).

construct an aws.sdk.kotlin.services.personalize.model.AutoMlConfig inside the given block

construct an aws.sdk.kotlin.services.personalize.model.HpoConfig inside the given block

construct an aws.sdk.kotlin.services.personalize.model.OptimizationObjective inside the given block

construct an aws.sdk.kotlin.services.personalize.model.TrainingDataConfig inside the given block