Package software.amazon.awscdk.mixins.preview.services.cleanrooms.mixins

Class CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder

java.lang.Object

software.amazon.awscdk.mixins.preview.services.cleanrooms.mixins.CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder

All Implemented Interfaces:

software.amazon.jsii.Builder<CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty>

Enclosing interface:

CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty

@Stability(Stable)
public static final class CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder
extends Object
implements software.amazon.jsii.Builder<CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty>

A builder for CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty	build()	Builds the configured instance.
CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder	columnClassification(IResolvable columnClassification)	Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getColumnClassification()
CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder	columnClassification(CfnAnalysisTemplatePropsMixin.ColumnClassificationDetailsProperty columnClassification)	Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getColumnClassification()
CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder	epsilon(Number epsilon)	Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getEpsilon()
CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder	maxMembershipInferenceAttackScore(Number maxMembershipInferenceAttackScore)	Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getMaxMembershipInferenceAttackScore()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Builder

public Builder()

Method Details

columnClassification

@Stability(Stable)
public CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder columnClassification(IResolvable columnClassification)

Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getColumnClassification()

Parameters:

columnClassification - Classification details for data columns that specify how each column should be treated during synthetic data generation.

Returns:

this

columnClassification

@Stability(Stable)
public CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder columnClassification(CfnAnalysisTemplatePropsMixin.ColumnClassificationDetailsProperty columnClassification)

Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getColumnClassification()

Parameters:

columnClassification - Classification details for data columns that specify how each column should be treated during synthetic data generation.

Returns:

this

epsilon

@Stability(Stable)
public CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder epsilon(Number epsilon)

Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getEpsilon()

Parameters:

epsilon - The epsilon value for differential privacy when generating synthetic data. Lower values provide stronger privacy guarantees but may reduce data utility.

Returns:

this

maxMembershipInferenceAttackScore

@Stability(Stable)
public CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.Builder maxMembershipInferenceAttackScore(Number maxMembershipInferenceAttackScore)

Sets the value of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty.getMaxMembershipInferenceAttackScore()

Parameters:

maxMembershipInferenceAttackScore - The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.

Returns:

this

build

@Stability(Stable)
public CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty build()

Builds the configured instance.

Specified by:

build in interface software.amazon.jsii.Builder<CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty>

Returns:

a new instance of CfnAnalysisTemplatePropsMixin.MLSyntheticDataParametersProperty

Throws:

NullPointerException - if any required attribute was not provided