Fix doc formatting

Author: Ignacio Quintero

src/sagemaker/chainer/README.rst

@@ -176,11 +176,11 @@ The following are optional arguments. When you create a ``Chainer`` object, you
    method launches. If not specified, the estimator generates a default
    job name, based on the training image name and current timestamp
 -  ``image_name`` An alternative docker image to use for training and
-    serving.  If specified, the estimator will use this image for training and
-    hosting, instead of selecting the appropriate SageMaker official image based on
-    framework_version and py_version. Refer to: `SageMaker Chainer Docker Containers
-    <#sagemaker-chainer-docker-containers>`_ for details on what the Official images support
-    and where to find the source code to build your custom image.
+   serving.  If specified, the estimator will use this image for training and
+   hosting, instead of selecting the appropriate SageMaker official image based on
+   framework_version and py_version. Refer to: `SageMaker Chainer Docker Containers
+   <#sagemaker-chainer-docker-containers>`_ for details on what the Official images support
+   and where to find the source code to build your custom image.
 
 
 Distributed Chainer Training

src/sagemaker/chainer/estimator.py

@@ -69,8 +69,10 @@ def __init__(self, entry_point, use_mpi=None, num_processes=None, process_slots_
                 List of supported versions https://github.com/aws/sagemaker-python-sdk#chainer-sagemaker-estimators
             image_name (str): If specified, the estimator will use this image for training and hosting, instead of
                 selecting the appropriate SageMaker official image based on framework_version and py_version. It can
-                be an ECR url or dockerhub image and tag: 123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0,
-                custom-image:latest.
+                be an ECR url or dockerhub image and tag.
+                Examples:
+                    123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0
+                    custom-image:latest.
             **kwargs: Additional kwargs passed to the :class:`~sagemaker.estimator.Framework` constructor.
         """
         super(Chainer, self).__init__(entry_point, source_dir, hyperparameters,

src/sagemaker/mxnet/README.rst

@@ -154,11 +154,11 @@ The following are optional arguments. When you create an ``MXNet`` object, you c
    method launches. If not specified, the estimator generates a default
    job name, based on the training image name and current timestamp
 -  ``image_name`` An alternative docker image to use for training and
-    serving.  If specified, the estimator will use this image for training and
-    hosting, instead of selecting the appropriate SageMaker official image based on
-    framework_version and py_version. Refer to: `SageMaker MXNet Docker Containers
-    <#sagemaker-mxnet-docker-containers>`_ for details on what the Official images support
-    and where to find the source code to build your custom image.
+   serving.  If specified, the estimator will use this image for training and
+   hosting, instead of selecting the appropriate SageMaker official image based on
+   framework_version and py_version. Refer to: `SageMaker MXNet Docker Containers
+   <#sagemaker-mxnet-docker-containers>`_ for details on what the Official images support
+   and where to find the source code to build your custom image.
 
 Calling fit
 ^^^^^^^^^^^

src/sagemaker/mxnet/estimator.py

@@ -54,8 +54,10 @@ def __init__(self, entry_point, source_dir=None, hyperparameters=None, py_versio
                 List of supported versions https://github.com/aws/sagemaker-python-sdk#mxnet-sagemaker-estimators
             image_name (str): If specified, the estimator will use this image for training and hosting, instead of
                 selecting the appropriate SageMaker official image based on framework_version and py_version. It can
-                be an ECR url or dockerhub image and tag: 123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0,
-                custom-image:latest.
+                be an ECR url or dockerhub image and tag.
+                    Examples:
+                        123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0
+                        custom-image:latest.
             **kwargs: Additional kwargs passed to the :class:`~sagemaker.estimator.Framework` constructor.
         """
         super(MXNet, self).__init__(entry_point, source_dir, hyperparameters,

src/sagemaker/tensorflow/README.rst

@@ -434,11 +434,11 @@ you can specify these as keyword arguments.
    method launches. If not specified, the estimator generates a default
    job name, based on the training image name and current timestamp.
 -  ``image_name`` An alternative docker image to use for training and
-    serving.  If specified, the estimator will use this image for training and
-    hosting, instead of selecting the appropriate SageMaker official image based on
-    framework_version and py_version. Refer to: `SageMaker TensorFlow Docker Containers
-    <#sagemaker-tensorflow-docker-containers>`_ for details on what the Official images support
-    and where to find the source code to build your custom image.
+   serving.  If specified, the estimator will use this image for training and
+   hosting, instead of selecting the appropriate SageMaker official image based on
+   framework_version and py_version. Refer to: `SageMaker TensorFlow Docker Containers
+   <#sagemaker-tensorflow-docker-containers>`_ for details on what the Official images support
+   and where to find the source code to build your custom image.
 
 
 Optional Hyperparameters

src/sagemaker/tensorflow/estimator.py

@@ -173,8 +173,10 @@ def __init__(self, training_steps=None, evaluation_steps=None, checkpoint_path=N
                 `Pip User Guide <https://pip.pypa.io/en/stable/reference/pip_install/#requirements-file-format>`_.
             image_name (str): If specified, the estimator will use this image for training and hosting, instead of
                 selecting the appropriate SageMaker official image based on framework_version and py_version. It can
-                be an ECR url or dockerhub image and tag: 123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0,
-                custom-image:latest.
+                be an ECR url or dockerhub image and tag.
+                    Examples:
+                        123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0
+                        custom-image:latest.
             **kwargs: Additional kwargs passed to the Framework constructor.
         """
         super(TensorFlow, self).__init__(image_name=image_name, **kwargs)