AWS::CleanRooms::AnalysisTemplate SyntheticDataColumnProperties - Amazon CloudFormation
SyntaxProperties
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AWS::CleanRooms::AnalysisTemplate SyntheticDataColumnProperties

Properties that define how a specific data column should be handled during synthetic data generation, including its name, type, and role in predictive modeling.

Syntax

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

JSON

{
  "ColumnName" : String,
  "ColumnType" : String,
  "IsPredictiveValue" : Boolean
}

YAML

  ColumnName: String
  ColumnType: String
  IsPredictiveValue: Boolean

Properties

ColumnName

The name of the data column as it appears in the dataset.

Required: Yes

Type: String

Pattern: ^[a-z0-9_](([a-z0-9_]+-)*([a-z0-9_]+))?$

Maximum: 128

Update requires: Replacement

ColumnType

The data type of the column, which determines how the synthetic data generation algorithm processes and synthesizes values for this column.

Required: Yes

Type: String

Allowed values: CATEGORICAL | NUMERICAL

Update requires: Replacement

IsPredictiveValue

Indicates if this column contains predictive values that should be treated as target variables in machine learning models. This affects how the synthetic data generation preserves statistical relationships.

Required: Yes

Type: Boolean

Update requires: Replacement