diff --git a/doc/frameworks/sklearn/using_sklearn.rst b/doc/frameworks/sklearn/using_sklearn.rst index 53e28bb86a..8e82a1d86c 100644 --- a/doc/frameworks/sklearn/using_sklearn.rst +++ b/doc/frameworks/sklearn/using_sklearn.rst @@ -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 -------------- diff --git a/doc/frameworks/xgboost/using_xgboost.rst b/doc/frameworks/xgboost/using_xgboost.rst index 26c333a0bf..8abdd589c0 100644 --- a/doc/frameworks/xgboost/using_xgboost.rst +++ b/doc/frameworks/xgboost/using_xgboost.rst @@ -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 `__. +.. 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.