Overview of SageMaker Autopilot
SageMaker Autopilot is the AWS service that provides AutoML functionality to its customers. Autopilot addresses the various requirements for AutoML by piecing together the following SageMaker modules into an automated framework:
- SageMaker Processing: Processing jobs take care of the heavy lifting and scaling requirements of organizing, validating, and feature engineering the data, all using a simplified and managed experience.
- SageMaker Built-in Algorithms: SageMaker helps ML practitioners to get started with model-building tasks by providing several pre-built algorithms that cater to multiple use case types.
- SageMaker Training: Training jobs take care of the heavy lifting and scaling tasks associated with provisioning the required compute resources to train the model.
- Automatic Model Tuning: Model tuning or hyperparameter tuning scales the model tuning task by allowing the ML practitioner to execute multiple training jobs, each...
