interface SyntheticDataParametersProperty
| Language | Type name |
|---|---|
.NET | Amazon.CDK.CfnPropertyMixins.AWS.CleanRooms.CfnAnalysisTemplatePropsMixin.SyntheticDataParametersProperty |
Go | github.com/aws/aws-cdk-go/awscdkcfnpropertymixins/v2/awscleanrooms#CfnAnalysisTemplatePropsMixin_SyntheticDataParametersProperty |
Java | software.amazon.awscdk.cfnpropertymixins.services.cleanrooms.CfnAnalysisTemplatePropsMixin.SyntheticDataParametersProperty |
Python | aws_cdk.cfn_property_mixins.aws_cleanrooms.CfnAnalysisTemplatePropsMixin.SyntheticDataParametersProperty |
TypeScript | @aws-cdk/cfn-property-mixins » aws_cleanrooms » CfnAnalysisTemplatePropsMixin » 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.
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/cfn-property-mixins';
const syntheticDataParametersProperty: cleanrooms.CfnAnalysisTemplatePropsMixin.SyntheticDataParametersProperty = {
mlSyntheticDataParameters: {
columnClassification: {
columnMapping: [{
columnName: 'columnName',
columnType: 'columnType',
isPredictiveValue: false,
}],
},
epsilon: 123,
maxMembershipInferenceAttackScore: 123,
},
};
Properties
| Name | Type | Description |
|---|---|---|
| ml | IResolvable | MLSynthetic | The machine learning-specific parameters for synthetic data generation. |
mlSyntheticDataParameters?
Type:
IResolvable | MLSynthetic
(optional)
The machine learning-specific parameters for synthetic data generation.

.NET
Go
Java
Python
TypeScript