This is the new *Amazon CloudFormation Template Reference Guide*. Please update your bookmarks and links. For help getting started with CloudFormation, see the [Amazon CloudFormation User Guide](https://docs.amazonaws.cn/AWSCloudFormation/latest/UserGuide/Welcome.html).

# AWS::CleanRooms::AnalysisTemplate MLSyntheticDataParameters
<a name="aws-properties-cleanrooms-analysistemplate-mlsyntheticdataparameters"></a>

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

## Syntax
<a name="aws-properties-cleanrooms-analysistemplate-mlsyntheticdataparameters-syntax"></a>

To declare this entity in your Amazon CloudFormation template, use the following syntax:

### JSON
<a name="aws-properties-cleanrooms-analysistemplate-mlsyntheticdataparameters-syntax.json"></a>

```
{
  "[ColumnClassification](#cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-columnclassification)" : {{ColumnClassificationDetails}},
  "[Epsilon](#cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-epsilon)" : {{Number}},
  "[MaxMembershipInferenceAttackScore](#cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-maxmembershipinferenceattackscore)" : {{Number}}
}
```

### YAML
<a name="aws-properties-cleanrooms-analysistemplate-mlsyntheticdataparameters-syntax.yaml"></a>

```
  [ColumnClassification](#cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-columnclassification): {{
    ColumnClassificationDetails}}
  [Epsilon](#cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-epsilon): {{Number}}
  [MaxMembershipInferenceAttackScore](#cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-maxmembershipinferenceattackscore): {{Number}}
```

## Properties
<a name="aws-properties-cleanrooms-analysistemplate-mlsyntheticdataparameters-properties"></a>

`ColumnClassification`  <a name="cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-columnclassification"></a>
Classification details for data columns that specify how each column should be treated during synthetic data generation.  
*Required*: Yes  
*Type*: [ColumnClassificationDetails](aws-properties-cleanrooms-analysistemplate-columnclassificationdetails.md)  
*Update requires*: [Replacement](https://docs.amazonaws.cn/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-replacement)

`Epsilon`  <a name="cfn-cleanrooms-analysistemplate-mlsyntheticdataparameters-epsilon"></a>
The epsilon value for differential privacy when generating synthetic data. Lower values provide stronger privacy guarantees but may reduce data utility.  
*Required*: Yes  
*Type*: Number  
*Minimum*: `0`  
*Maximum*: `10`  
*Update requires*: [Replacement](https://docs.amazonaws.cn/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-replacement)

`MaxMembershipInferenceAttackScore`  <a name="cfn-cleanrooms-analysistemplate-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.  
*Required*: Yes  
*Type*: Number  
*Minimum*: `0`  
*Maximum*: `1`  
*Update requires*: [Replacement](https://docs.amazonaws.cn/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks-update-behaviors.html#update-replacement)