Merge branch 'master' into sklearn-bump-version

Author: chuyang-deng

CHANGELOG.md

@@ -1,5 +1,32 @@
 # Changelog
 
+## v1.63.0 (2020-06-12)
+
+### Features
+
+ * Allow selecting inference response content for automl generated models
+ * Support for multi variant endpoint invocation with target variant param
+
+### Documentation Changes
+
+ * improve docstring and remove unavailable links
+
+## v1.62.0 (2020-06-11)
+
+### Features
+
+ * Support for multi variant endpoint invocation with target variant param
+
+### Bug Fixes and Other Changes
+
+ * Revert "feature: Support for multi variant endpoint invocation with target variant param (#1571)"
+ * make instance_type optional for prepare_container_def
+ * docs: workflows navigation
+
+### Documentation Changes
+
+ * fix typo in MXNet documentation
+
 ## v1.61.0 (2020-06-09)
 
 ### Features

VERSION

@@ -1 +1 @@
-1.61.1.dev0
+1.63.1.dev0

doc/frameworks/mxnet/using_mxnet.rst

@@ -176,7 +176,7 @@ The default serialization system generates three files:
 -  ``model-symbol.json``: The MXNet ``Module`` ``Symbol`` serialization,
    produced by invoking ``save`` on the ``symbol`` property of the
    ``Module`` being saved.
--  ``modle.params``: The MXNet ``Module`` parameters, produced by
+-  ``model.params``: The MXNet ``Module`` parameters, produced by
    invoking ``save_params`` on the ``Module`` being saved.
 
 You can provide your own save function. This is useful if you are not working with the ``Module`` API or you need special processing.

doc/index.rst

@@ -53,15 +53,14 @@ Amazon SageMaker provides implementations of some common machine learning algori
 
 
 *************
-Orchestration
+Workflows
 *************
-Orchestrate your SageMaker training and inference jobs with Kubernetes and Airflow.
+Orchestrate your SageMaker training and inference workflows with Airflow and Kubernetes.
 
 .. toctree::
-    :maxdepth: 1
+    :maxdepth: 2
 
-    kubernetes/index
-    airflow/index
+    workflows/index
 
 
 *************************

doc/airflow/index.rst renamed to doc/workflows/airflow/index.rst

@@ -0,0 +1,11 @@
+##########
+Workflows
+##########
+
+The SageMaker Python SDK supports managed training and inference for a variety of machine learning frameworks:
+
+.. toctree::
+    :maxdepth: 2
+
+    airflow/index
+    kubernetes/index

doc/airflow/sagemaker.workflow.airflow.rst renamed to doc/workflows/airflow/sagemaker.workflow.airflow.rst

@@ -34,7 +34,7 @@ def read_version():
 
 # Declare minimal set for installation
 required_packages = [
-    "boto3>=1.13.6",
+    "boto3>=1.13.24",
     "numpy>=1.9.0",
     "protobuf>=3.1",
     "scipy>=0.19.0",