aws-cdk-lib.aws_personalize.CfnSolution.SolutionConfigProperty

interface SolutionConfigProperty

LanguageType name
.NETAmazon.CDK.AWS.Personalize.CfnSolution.SolutionConfigProperty
Gogithub.com/aws/aws-cdk-go/awscdk/v2/awspersonalize#CfnSolution_SolutionConfigProperty
Javasoftware.amazon.awscdk.services.personalize.CfnSolution.SolutionConfigProperty
Pythonaws_cdk.aws_personalize.CfnSolution.SolutionConfigProperty
TypeScript aws-cdk-lib » aws_personalize » CfnSolution » SolutionConfigProperty

Describes the configuration properties for the solution.

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_personalize as personalize } from 'aws-cdk-lib';

declare const autoMlConfig: any;
declare const hpoConfig: any;
const solutionConfigProperty: personalize.CfnSolution.SolutionConfigProperty = {
  algorithmHyperParameters: {
    algorithmHyperParametersKey: 'algorithmHyperParameters',
  },
  autoMlConfig: autoMlConfig,
  eventValueThreshold: 'eventValueThreshold',
  featureTransformationParameters: {
    featureTransformationParametersKey: 'featureTransformationParameters',
  },
  hpoConfig: hpoConfig,
};

Properties

NameTypeDescription
algorithmHyperParameters?IResolvable | { [string]: string }Lists the hyperparameter names and ranges.
autoMlConfig?anyThe AutoMLConfig object containing a list of recipes to search when AutoML is performed.
eventValueThreshold?stringOnly events with a value greater than or equal to this threshold are used for training a model.
featureTransformationParameters?IResolvable | { [string]: string }Lists the feature transformation parameters.
hpoConfig?anyDescribes the properties for hyperparameter optimization (HPO).

algorithmHyperParameters?

Type: IResolvable | { [string]: string } (optional)

Lists the hyperparameter names and ranges.


autoMlConfig?

Type: any (optional)

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


eventValueThreshold?

Type: string (optional)

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


featureTransformationParameters?

Type: IResolvable | { [string]: string } (optional)

Lists the feature transformation parameters.


hpoConfig?

Type: any (optional)

Describes the properties for hyperparameter optimization (HPO).