Interface CfnAnalysisTemplate.SyntheticDataParametersProperty
- All Superinterfaces:
software.amazon.jsii.JsiiSerializable
- All Known Implementing Classes:
CfnAnalysisTemplate.SyntheticDataParametersProperty.Jsii$Proxy
- Enclosing class:
CfnAnalysisTemplate
@Stability(Stable)
public static interface CfnAnalysisTemplate.SyntheticDataParametersProperty
extends software.amazon.jsii.JsiiSerializable
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 software.amazon.awscdk.services.cleanrooms.*;
SyntheticDataParametersProperty syntheticDataParametersProperty = SyntheticDataParametersProperty.builder()
.mlSyntheticDataParameters(MLSyntheticDataParametersProperty.builder()
.columnClassification(ColumnClassificationDetailsProperty.builder()
.columnMapping(List.of(SyntheticDataColumnPropertiesProperty.builder()
.columnName("columnName")
.columnType("columnType")
.isPredictiveValue(false)
.build()))
.build())
.epsilon(123)
.maxMembershipInferenceAttackScore(123)
.build())
.build();
- See Also:
-
Nested Class Summary
Nested ClassesModifier and TypeInterfaceDescriptionstatic final classA builder forCfnAnalysisTemplate.SyntheticDataParametersPropertystatic final classAn implementation forCfnAnalysisTemplate.SyntheticDataParametersProperty -
Method Summary
Modifier and TypeMethodDescriptionbuilder()The machine learning-specific parameters for synthetic data generation.Methods inherited from interface software.amazon.jsii.JsiiSerializable
$jsii$toJson
-
Method Details
-
getMlSyntheticDataParameters
The machine learning-specific parameters for synthetic data generation.Returns union: either
IResolvableorCfnAnalysisTemplate.MLSyntheticDataParametersProperty- See Also:
-
builder
-