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Documentation: scikit and xgboost deprecated sagemaker-containers note (#2344)
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doc/frameworks/sklearn/using_sklearn.rst

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@@ -84,6 +84,10 @@ inadvertently run your training code at the wrong point in execution.
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For more on training environment variables, please visit https://github.com/aws/sagemaker-containers.
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.. important::
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The sagemaker-containers repository has been deprecated,
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however it is still used to define Scikit-learn and XGBoost environment variables.
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Save the Model
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doc/frameworks/xgboost/using_xgboost.rst

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@@ -88,6 +88,10 @@ but you can access useful properties about the training environment through vari
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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>`__.
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.. important::
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The sagemaker-containers repository has been deprecated,
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however it is still used to define Scikit-learn and XGBoost environment variables.
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Let's look at the main elements of the script. Starting with the ``__main__`` guard,
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use a parser to read the hyperparameters passed to the estimator when creating the training job.
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These hyperparameters are made available as arguments to our input script.

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