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Documentation: scikit and xgboost deprecated sagemaker-containers note #2344

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4 changes: 4 additions & 0 deletions doc/frameworks/sklearn/using_sklearn.rst
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Expand Up @@ -84,6 +84,10 @@ inadvertently run your training code at the wrong point in execution.

For more on training environment variables, please visit https://github.com/aws/sagemaker-containers.

.. important::
The sagemaker-containers repository has been deprecated,
however it is still used to define Scikit-learn and XGBoost environment variables.

Save the Model
--------------

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4 changes: 4 additions & 0 deletions doc/frameworks/xgboost/using_xgboost.rst
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Expand Up @@ -88,6 +88,10 @@ but you can access useful properties about the training environment through vari

For the exhaustive list of available environment variables, see the `SageMaker Containers documentation <https://github.com/aws/sagemaker-containers#list-of-provided-environment-variables-by-sagemaker-containers>`__.

.. important::
The sagemaker-containers repository has been deprecated,
however it is still used to define Scikit-learn and XGBoost environment variables.

Let's look at the main elements of the script. Starting with the ``__main__`` guard,
use a parser to read the hyperparameters passed to the estimator when creating the training job.
These hyperparameters are made available as arguments to our input script.
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