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.
Contents
- columnName
-
The name of the data column as it appears in the dataset.
Type: String
Length Constraints: Minimum length of 0. Maximum length of 128.
Pattern:
[a-z0-9_](([a-z0-9_]+-)*([a-z0-9_]+))?Required: Yes
- columnType
-
The data type of the column, which determines how the synthetic data generation algorithm processes and synthesizes values for this column.
Type: String
Valid Values:
CATEGORICAL | NUMERICALRequired: Yes
- 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.
Type: Boolean
Required: Yes
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
