Sagemaker

Bug fixes and other changes

* fix PyTorchModel deployment crash on Windows
* make PyTorch empty framework_version warning include the latest PyTorch version

Features

* allow disabling debugger_hook_config

Bug fixes and other changes

* relax urllib3 and requests restrictions.
* Add uri as return statement for upload_string_as_file_body
* refactor logic in fw_utils and fill in docstrings
* increase poll from 5 to 30 for DescribeEndpoint lambda.
* fix test_auto_ml tests for regions without ml.c4.xlarge hosts.
* fix test_processing for regions without m4.xlarge instances.
* reduce test's describe frequency to eliminate throttling error.
* Increase number of retries when describing an endpoint since tf-2.0 has larger images and takes longer to start.

Documentation changes

* generalize Model Monitor documentation from SageMaker Studio tutorial

Features

* Add support for TF-2.0.0.
* create ProcessingJob from ARN and from name

Bug fixes and other changes

* Make tf tests tf-1.15 and tf-2.0 compatible.

Documentation changes

* add Model Monitor documentation
* add link to Amazon algorithm estimator parent class to clarify **kwargs

Bug fixes and other changes

* use name_from_base in auto_ml.py but unique_name_from_base in tests.
* make test's custom bucket include region and account name.
* add Keras to the list of Neo-supported frameworks

Documentation changes

* add link to parent classes to clarify **kwargs
* add link to framework-related parent classes to clarify **kwargs

Features

* allow setting the default bucket in Session

Bug fixes and other changes

* set integration test parallelization to 512
* shorten base job name to avoid collision
* multi model integration test to create ECR repo with unique names to allow independent parallel executions

Bug fixes and other changes

* Revert "feature: allow setting the default bucket in Session (1168)"

Documentation changes

* add AutoML README
* add missing classes to API docs