Sagemaker

Bug fixes

* fix ECR URI validation
* remove unrestrictive principal * from KMS policy tests.

Documentation changes

* edit description of local mode in overview.rst
* add table of contents to using_chainer topic
* fix formatting for HyperparameterTuner.attach()

Other changes

* add pytest marks for integ tests using local mode
* add account number and unit tests for govcloud

Documentation changes

* move chainer readme content into sphinx and fix broken link in using_mxnet

Documentation changes

* add mandatory sagemaker_role argument to Local mode example.

Changes

* enable new release process
* Update inference pipelines documentation
* Migrate content from workflow and pytorch readmes into sphinx project
* Propagate Tags from estimator to model, endpoint, and endpoint config

* bug-fix: pass kms id as parameter for uploading code with Server side encryption
* feature: ``PipelineModel``: Create a Transformer from a PipelineModel
* bug-fix: ``AlgorithmEstimator``: Make SupportedHyperParameters optional
* feature: ``Hyperparameter``: Support scaling hyperparameters
* doc-fix: Remove duplicate content from main README.rst, /tensorflow/README.rst, and /sklearn/README.rst and add links to readthedocs content

* doc-fix: Remove incorrect parameter for EI TFS Python README
* feature: ``Predictor``: delete SageMaker model
* feature: ``PipelineModel``: delete SageMaker model
* bug-fix: Estimator.attach works with training jobs without hyperparameters
* doc-fix: remove duplicate content from mxnet/README.rst
* doc-fix: move overview content in main README into sphynx project
* bug-fix: pass accelerator_type in ``deploy`` for REST API TFS ``Model``
* doc-fix: move content from tf/README.rst into sphynx project
* doc-fix: move content from sklearn/README.rst into sphynx project
* doc-fix: Improve new developer experience in README
* feature: Add support for Coach 0.11.1 for Tensorflow