Tuning machine learning transforms in AWS Glue - AWS Glue
This documentation is a draft for private preview for regions in the AWS European Sovereign Cloud. Documentation content will continue to evolve. Published: January 14, 2026.

Tuning machine learning transforms in AWS Glue

You can tune your machine learning transforms in AWS Glue to improve the results of your data-cleansing jobs to meet your objectives. To improve your transform, you can teach it by generating a labeling set, adding labels, and then repeating these steps several times until you get your desired results. You can also tune by changing some machine learning parameters.

For more information about machine learning transforms, see Record matching with AWS Lake Formation FindMatches.