Sagemaker

Documentation changes

* add additional information to Transformer class transform function doc string

Bug fixes and other changes

* Append serving to model framework name for PyTorch, MXNet, and TensorFlow

Bug fixes and other changes

* Use serving_image_uri for Airflow

Documentation changes

* revise Processing docstrings for formatting and class links
* Add processing readthedocs

Bug fixes and other changes

* Remove version number from default version comment
* remove remaining instances of python-dateutil pin
* upgrade boto3 and remove python-dateutil pin

Documentation changes

* Add issue templates and configure issue template chooser
* Update error type in delete_endpoint docstring
* add version requirement for using "requirements.txt" when serving an MXNet model
* update container dependency versions for MXNet and PyTorch
* Update supported versions of PyTorch

Bug fixes and other changes

* ignore private Automatic Model Tuning hyperparameter when attaching AlgorithmEstimator

Documentation changes

* add Debugger API docs

Bug fixes and other changes

* add tests to quick canary
* honor 'wait' flag when updating endpoint
* add default framework version warning message in Model classes
* Adding role arn explanation for sagemaker role
* allow predictor to be returned from AutoML.deploy()
* add PR checklist item about unique_name_from_base()
* use unique_name_from_base for multi-algo tuning test
* update copyright year in license header

Documentation changes

* add version requirement for using "requirement.txt" when serving a PyTorch model
* add SageMaker Debugger overview
* clarify requirements.txt usage for Chainer, MXNet, and Scikit-learn
* change "associate" to "create" for OpenID connector
* fix typo and improve clarity on installing packages via "requirements.txt"