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doc: add mandatory sagemaker_role argument to Local mode example. #709

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Mar 20, 2019
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3 changes: 2 additions & 1 deletion doc/overview.rst
Original file line number Diff line number Diff line change
Expand Up @@ -180,6 +180,7 @@ Here is an end-to-end example:
from sagemaker.mxnet import MXNet

mxnet_estimator = MXNet('train.py',
role='SageMakerRole',
train_instance_type='local',
train_instance_count=1,
framework_version='1.2.1')
Expand Down Expand Up @@ -712,4 +713,4 @@ You can use Apache Airflow to author, schedule and monitor SageMaker workflow.

For more information, see `SageMaker Workflow in Apache Airflow`_.

.. _SageMaker Workflow in Apache Airflow: https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/workflow/README.rst
.. _SageMaker Workflow in Apache Airflow: https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/workflow/README.rst