In addition to the new features brought by the v0.9 framework, this new SageMaker release offers customers:
- Flexibility: This new release of XGBoost algorithm can be used as a built-in algorithm or as a framework. Customers migrating from the previous built-in algorithms will only need to make a small change and specify the algorithm version when they call get_image_uri to make sure they get the latest version. Customers using it as a framework will have the flexibility to specify how they want to train by providing their own training scripts.
- Scalability: this version has an improved distribution mechanism which resulted in significantly improved memory footprint, smoother experience training on larger clusters and on larger datasets.
To learn more, see documentation here.