interface SyntheticDataParametersProperty

Language	Type name
.NET	Amazon.CDK.AWS.CleanRooms.CfnAnalysisTemplate.SyntheticDataParametersProperty
Go	github.com/aws/aws-cdk-go/awscdk/v2/awscleanrooms#CfnAnalysisTemplate_SyntheticDataParametersProperty
Java	software.amazon.awscdk.services.cleanrooms.CfnAnalysisTemplate.SyntheticDataParametersProperty
Python	aws_cdk.aws_cleanrooms.CfnAnalysisTemplate.SyntheticDataParametersProperty
TypeScript	aws-cdk-lib » aws_cleanrooms » CfnAnalysisTemplate » SyntheticDataParametersProperty

The parameters that control how synthetic data is generated, including privacy settings, column classifications, and other configuration options that affect the data synthesis process.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanrooms-analysistemplate-syntheticdataparameters.html

Example

// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_cleanrooms as cleanrooms } from 'aws-cdk-lib';
const syntheticDataParametersProperty: cleanrooms.CfnAnalysisTemplate.SyntheticDataParametersProperty = {
  mlSyntheticDataParameters: {
    columnClassification: {
      columnMapping: [{
        columnName: 'columnName',
        columnType: 'columnType',
        isPredictiveValue: false,
      }],
    },
    epsilon: 123,
    maxMembershipInferenceAttackScore: 123,
  },
};

Properties

Name	Type	Description
mlSyntheticDataParameters	IResolvable | MLSyntheticDataParametersProperty	The machine learning-specific parameters for synthetic data generation.

---

mlSyntheticDataParameters

Type: IResolvable | MLSyntheticDataParametersProperty

The machine learning-specific parameters for synthetic data generation.

See also: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-cleanrooms-analysistemplate-syntheticdataparameters.html#cfn-cleanrooms-analysistemplate-syntheticdataparameters-mlsyntheticdataparameters