What is the difference of xgboost and sagemaker.xgboost

Question

Question is really clear. Nowadays im learning AWS world, and this question is eating my head up. What is the difference of import xgboost and import sagemaker.xgboost .

On SageMaker i can work with normal XGBoost library, and i know i can select different EC2 types with sagemaker.xgboost . But except this, what is the difference? Are there any big difference?

Answer 1

Using model training as an example task: sagemaker.xgboost provides the ability to create Amazon SageMaker training jobs (and related AWS resources) in an environment that has the XGBoost library installed. So import xgboost gives you the modules for writing a training script that actually trains a model whereas import sagemaker.xgboost gives you modules for performing the training task on SageMaker.

The same applies for other tasks (eg predictions).

SageMaker XGBoost documentation: https://sagemaker.readthedocs.io/en/stable/frameworks/xgboost/using_xgboost.html#use-the-open-source-xgboost-algorithm