refactor the navigation

doc/airflow/index.rst

@@ -0,0 +1,15 @@
+#################
+Airflow Workflows
+#################
+
+SageMaker APIs to export configurations for creating and managing Airflow workflows.
+
+.. toctree::
+    :maxdepth: 1
+
+    using_workflow
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.workflow.airflow

doc/algorithms/index.rst

@@ -0,0 +1,20 @@
+######################
+First-Party Algorithms
+######################
+
+Amazon SageMaker provides implementations of some common machine learning algorithms optimized for GPU architecture and massive datasets.
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.amazon.amazon_estimator
+    factorization_machines
+    ipinsights
+    kmeans
+    knn
+    lda
+    linear_learner
+    ntm
+    object2vec
+    pca
+    randomcutforest

doc/api/index.rst

@@ -0,0 +1,12 @@
+####
+APIs
+####
+
+The SageMaker Python SDK consists of a variety classes for training, inference and general utility:
+
+.. toctree::
+    :maxdepth: 2
+
+    training/index
+    inference/index
+    utility/index

doc/api/inference/index.rst

@@ -0,0 +1,9 @@
+##############
+Inference APIs
+##############
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+
+   *

doc/api/training/index.rst

@@ -0,0 +1,9 @@
+#############
+Training APIs
+#############
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+
+   *

doc/api/utility/index.rst

@@ -0,0 +1,9 @@
+############
+Utility APIs
+############
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+
+   *

doc/frameworks/chainer/index.rst

@@ -0,0 +1,15 @@
+##########################
+Chainer
+##########################
+
+A managed environment for Chainer training and hosting on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 1
+
+    using_chainer
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.chainer

doc/frameworks/index.rst

@@ -0,0 +1,17 @@
+##########
+Frameworks
+##########
+
+The SageMaker Python SDK supports managed training and inference for a variety of machine learning frameworks:
+
+.. toctree::
+    :maxdepth: 2
+
+    mxnet/index
+    chainer/index
+    pytorch/index
+    rl/index
+    sklearn/index
+    sparkml/index
+    tensorflow/index
+    xgboost/index

doc/frameworks/mxnet/index.rst

@@ -0,0 +1,15 @@
+########################
+Apache MXNet
+########################
+
+A managed environment for MXNet training and hosting on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 1
+
+    using_mxnet
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.mxnet

doc/frameworks/pytorch/index.rst

@@ -0,0 +1,9 @@
+##########################
+PyTorch
+##########################
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+
+   *

doc/frameworks/rl/index.rst

@@ -0,0 +1,15 @@
+#########################################
+Reinforcement Learning
+#########################################
+
+A managed environment for Reinforcement Learning (RL) on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 1
+
+    using_rl
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.rl

doc/frameworks/sklearn/index.rst

@@ -0,0 +1,15 @@
+###############################
+Scikit-Learn
+###############################
+
+A managed environment for Scikit-Learn training and hosting on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 1
+
+    using_sklearn
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.sklearn

doc/frameworks/sparkml/index.rst

@@ -0,0 +1,10 @@
+##################################
+SparkML Serving
+##################################
+
+A managed environment for SparkML Serving on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.sparkml

doc/frameworks/tensorflow/index.rst

@@ -0,0 +1,15 @@
+#############################
+TensorFlow
+#############################
+
+A managed environment for TensorFlow training and hosting on Amazon SageMaker
+
+.. toctree::
+    :maxdepth: 1
+
+    using_tf
+
+.. toctree::
+    :maxdepth: 2
+
+    sagemaker.tensorflow

doc/using_tf.rst → doc/frameworks/tensorflow/using_tf.rst

@@ -621,12 +621,14 @@ The following content formats are supported without custom intput and output han
 * JSON - specify ``application/json`` as the value of the ``content_type`` parameter.
 * JSON lines - specify ``application/jsonlines`` as the value of the ``content_type`` parameter.
 
-For detailed information about how TensorFlow Serving formats these data types for input and output, see :ref:`using_tf:TensorFlow Serving Input and Output`.
+For detailed information about how TensorFlow Serving formats these data types for input and output, see :ref:`tensorflow-serving-input-output`.
 
 You can also accept any custom data format by writing input and output functions, and include them in the ``inference.py`` file in your model.
-For information, see :ref:`using_tf:Create Python Scripts for Custom Input and Output Formats`.
+For information, see :ref:`custom-input-output`.
 
 
+.. _tensorflow-serving-input-output:
+
 TensorFlow Serving Input and Output
 ===================================
 
@@ -750,6 +752,7 @@ convert them to CSV, but the client-size CSV conversion is more sophisticated th
 CSV parsing on the Endpoint, so if you encounter conversion problems, try using one of the
 JSON options instead.
 
+.. _custom-input-output:
 
 Create Python Scripts for Custom Input and Output Formats
 ---------------------------------------------------------

doc/frameworks/xgboost/index.rst

@@ -0,0 +1,9 @@
+##########################
+XGBoost
+##########################
+
+.. toctree::
+   :maxdepth: 1
+   :glob:
+
+   *