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consolidate sklearn docs
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doc/using_sklearn.rst

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With Scikit-learn Estimators, you can train and host Scikit-learn models on Amazon SageMaker.
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For information about supported versions of Scikit-learn, see the `Scikit-learn README <https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/sklearn/README.rst>`__.
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For information about supported versions of Scikit-learn, see the `AWS documentation <https://docs.aws.amazon.com/sagemaker/latest/dg/sklearn.html>`__.
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We recommend that you use the latest supported version because that's where we focus most of our development efforts.
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You can visit the Scikit-learn repository at https://github.com/scikit-learn/scikit-learn.
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For general information about using the SageMaker Python SDK, see :ref:`overview:Using the SageMaker Python SDK`.
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.. contents::
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SageMaker Scikit-learn Docker Containers
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You can visit the SageMaker Scikit-Learn containers repository here: hhttps://github.com/aws/sagemaker-scikit-learn-container
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For information about SageMaker TensorFlow Docker containers and their dependencies, see `SageMaker Scikit-learn Docker Containers <https://github.com/aws/sagemaker-python-sdk/tree/master/src/sagemaker/sklearn#sagemaker-scikit-learn-docker-containers>`_.
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You can visit the SageMaker Scikit-Learn containers repository here: https://github.com/aws/sagemaker-scikit-learn-container

src/sagemaker/sklearn/README.rst

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