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 Amazon SDKs, see the following: