Release v1.9.0

New in v1.9.0:

• Added support for batch transform - #10

• Fixed SKLearn support - #2

• Added support for basic estimator and improved support for other frameworks, including HuggingFace, TensorFlow and XGBoost.

• Added MultiDataModel support without a model object - #4

• Fix the deregister_old_instances_from_ssm.py to allow clean up instances with any role, not only those that contain ‘sagemaker’ - #8

• Possibility to override the public keys location path in S3 with SSH_AUTHORIZED_KEYS_PATH environment variable - #8

• Additional sm-local-ssh-* scripts to connect with SSH to processing, training, inference and batch transform containers.

• Fixing issue with sudo installation in some containers.

• Better support for the distributed multi-GPU scenarios.