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Hi,
At this time sagemaker does support Xgboost Framework 1.7.0+
The current support versions of XGBoost Algorithm on Sagemaker is the following:
Framework (open source) mode: 1.0-1, 1.2-1, 1.2-2, 1.3-1, 1.5-1
Algorithm mode: 1.0-1, 1.2-1, 1.2-2, 1.3-1, 1.5-1
XGBoost Algorithm - Supported versions - https://docs.aws.amazon.com/sagemaker/latest/dg/xgboost.html#xgboost-supported-versions
However, you still can create a create a custom Create a container that can have support XGBoost 1.7.2, and can host your algorithms and models.
For more details on creating your own container please refer to "Create a container with your own algorithms and models" in the link below.
https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-create.html
In addition there are also some examples that you can also use to help you get started on creating your own container.
Build a Custom Training Container and Debug Training Jobs with Amazon SageMaker Debugger - https://sagemaker-examples.readthedocs.io/en/latest/sagemaker-debugger/build_your_own_container_with_debugger/debugger_byoc.html
Example Notebooks: Use Your Own Algorithm or Model - https://docs.aws.amazon.com/sagemaker/latest/dg/docker-containers-notebooks.html
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I must be confused, the link you provided states:
The current release of SageMaker XGBoost is based on the original XGBoost versions 1.0, 1.2, 1.3, and 1.5.How would I specify a built-in algorithm to use in hyperparameter tuning leveraging XGBoost version 1.7?
The documentation for image URI also doesn't seem to specify 1.7:
https://docs.aws.amazon.com/sagemaker/latest/dg/ecr-us-west-1.html#xgboost-us-west-1.title