SolutionConfig - Amazon Personalize

SolutionConfig

Describes the configuration properties for the solution.

Contents

algorithmHyperParameters

Lists the algorithm hyperparameters and their values.

Type: String to string map

Map Entries: Maximum number of 100 items.

Key Length Constraints: Maximum length of 256.

Value Length Constraints: Maximum length of 1000.

Required: No

autoMLConfig

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

Type: AutoMLConfig object

Required: No

autoTrainingConfig

Specifies the automatic training configuration to use.

Type: AutoTrainingConfig object

Required: No

eventValueThreshold

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

Type: String

Length Constraints: Maximum length of 256.

Required: No

featureTransformationParameters

Lists the feature transformation parameters.

Type: String to string map

Map Entries: Maximum number of 100 items.

Key Length Constraints: Maximum length of 256.

Value Length Constraints: Maximum length of 1000.

Required: No

hpoConfig

Describes the properties for hyperparameter optimization (HPO).

Type: HPOConfig object

Required: No

optimizationObjective

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

Type: OptimizationObjective object

Required: No

trainingDataConfig

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

Type: TrainingDataConfig object

Required: No

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: