Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. You can now use SageMaker Autopilot to build machine learning models for regression and classification problems on datasets larger than 10 GB, the previously supported limit. Starting today, SageMaker Autopilot supports datasets with sizes up to 100 GB by default in all AWS regions where SageMaker Autopilot is currently supported.. SageMaker Autopilot will subsample your dataset automatically, while accounting for class imbalance and preserving rare class labels. The default 100 GB service limit can be increased to support datasets larger than 100GB by filing a limit increase request in the AWS Support Center console.

Categories: AWS