# MLSyntheticDataParameters
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Parameters that control the generation of synthetic data for machine learning, including privacy settings and column classification details.

## Contents
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 ** columnClassification **   <a name="API-Type-MLSyntheticDataParameters-columnClassification"></a>
Classification details for data columns that specify how each column should be treated during synthetic data generation.  
Type: [ColumnClassificationDetails](API_ColumnClassificationDetails.md) object  
Required: Yes

 ** epsilon **   <a name="API-Type-MLSyntheticDataParameters-epsilon"></a>
The epsilon value for differential privacy when generating synthetic data. Lower values provide stronger privacy guarantees but may reduce data utility.  
Type: Double  
Valid Range: Minimum value of 0.0001. Maximum value of 10.  
Required: Yes

 ** maxMembershipInferenceAttackScore **   <a name="API-Type-MLSyntheticDataParameters-maxMembershipInferenceAttackScore"></a>
The maximum acceptable score for membership inference attack vulnerability. Synthetic data generation fails if the score for the resulting data exceeds this threshold.  
Type: Double  
Valid Range: Minimum value of 0.5. Maximum value of 1.  
Required: Yes

## See Also
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For more information about using this API in one of the language-specific AWS SDKs, see the following:
+  [AWS SDK for C\$1\$1](https://docs.aws.amazon.com/goto/SdkForCpp/cleanrooms-2022-02-17/MLSyntheticDataParameters) 
+  [AWS SDK for Java V2](https://docs.aws.amazon.com/goto/SdkForJavaV2/cleanrooms-2022-02-17/MLSyntheticDataParameters) 
+  [AWS SDK for Ruby V3](https://docs.aws.amazon.com/goto/SdkForRubyV3/cleanrooms-2022-02-17/MLSyntheticDataParameters)