Add readme docs for chainer, pytorch, rl and tensorflow serving. (#546)

Author: nadiaya

doc/index.rst

@@ -39,6 +39,24 @@ A managed environment for TensorFlow training and hosting on Amazon SageMaker
 
     sagemaker.tensorflow
 
+PyTorch
+-------
+A managed environment for PyTorch training and hosting on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.pytorch
+
+Chainer
+-------
+A managed environment for Chainer training and hosting on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.chainer
+
 Reinforcement Learning
 ----------------------
 A managed environment for Reinforcement Learning training and hosting on Amazon SageMaker

doc/sagemaker.chainer.rst

@@ -0,0 +1,26 @@
+Chainer
+=======
+
+Chainer Estimator
+-----------------
+
+.. autoclass:: sagemaker.chainer.estimator.Chainer
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+Chainer Model
+-------------
+
+.. autoclass:: sagemaker.chainer.model.ChainerModel
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+Chainer Predictor
+-----------------
+
+.. autoclass:: sagemaker.chainer.model.ChainerPredictor
+    :members:
+    :undoc-members:
+    :show-inheritance:

doc/sagemaker.pytorch.rst

@@ -0,0 +1,26 @@
+PyTorch
+=======
+
+PyTorch Estimator
+-----------------
+
+.. autoclass:: sagemaker.pytorch.estimator.PyTorch
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+PyTorch Model
+-------------
+
+.. autoclass:: sagemaker.pytorch.model.PyTorchModel
+    :members:
+    :undoc-members:
+    :show-inheritance:
+
+PyTorch Predictor
+-----------------
+
+.. autoclass:: sagemaker.pytorch.model.PyTorchPredictor
+    :members:
+    :undoc-members:
+    :show-inheritance:

doc/sagemaker.rl.rst

@@ -0,0 +1,10 @@
+RLEstimator
+===========
+
+RLEstimator Estimator
+---------------------
+
+.. autoclass:: sagemaker.rl.estimator.RLEstimator
+    :members:
+    :undoc-members:
+    :show-inheritance:

doc/sagemaker.tensorflow.rst

@@ -1,28 +1,43 @@
 TensorFlow
-======================
+==========
 
 
 TensorFlow Estimator
---------------------------------
+--------------------
 
 .. autoclass:: sagemaker.tensorflow.estimator.TensorFlow
     :members:
     :undoc-members:
     :show-inheritance:
 
 TensorFlow Model
---------------------------------
+----------------
 
 .. autoclass:: sagemaker.tensorflow.model.TensorFlowModel
     :members:
     :undoc-members:
     :show-inheritance:
 
 TensorFlow Predictor
---------------------------------
+--------------------
 
 .. autoclass:: sagemaker.tensorflow.model.TensorFlowPredictor
     :members:
     :undoc-members:
     :show-inheritance:
 
+TensorFlow Serving Model
+------------------------
+
+.. autoclass:: sagemaker.tensorflow.serving.Model
+    :members:
+        :undoc-members:
+        :show-inheritance:
+
+TensorFlow Serving Predictor
+----------------------------
+
+.. autoclass:: sagemaker.tensorflow.serving.Predictor
+    :members:
+        :undoc-members:
+        :show-inheritance:

src/sagemaker/rl/estimator.py

@@ -113,9 +113,8 @@ def __init__(self, entry_point, toolkit=None, toolkit_version=None, framework=No
             image_name (str): An ECR url. 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.
-                Examples:
-                    123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0
-             metric_definitions (list[dict]): A list of dictionaries that defines the metric(s)
+                Example: 123.dkr.ecr.us-west-2.amazonaws.com/my-custom-image:1.0
+            metric_definitions (list[dict]): A list of dictionaries that defines the metric(s)
                 used to evaluate the training jobs. Each dictionary contains two keys:
                 'Name' for the name of the metric, and 'Regex' for the regular expression used to
                 extract the metric from the logs. This should be defined only for jobs