v1.50.8

Bug Fixes and Other Changes

• disable Debugger defaults in unsupported regions
• modify session and kms_utils to check for S3 bucket before creation
• update docker-compose and PyYAML dependencies
• enable smdebug for Horovod (MPI) training setup
• create lib dir for dependencies safely (only if it doesn't exist yet).
• create the correct session for MultiDataModel

Documentation Changes

• update links to the local mode notebooks examples.
• Remove outdated badges from README
• update links to TF notebook examples to link to script mode examples.
• clean up headings, verb tenses, names, etc. in MXNet overview
• Update SageMaker operator Helm chart installation guide

Testing and Release Infrastructure

• choose faster notebook for notebook PR build
• properly fail PR build if has-matching-changes fails
• properly fail PR build if has-matching-changes fails

v1.50.7

Bug fixes and other changes

• do not use script for TFS when entry_point is not provided
• remove usage of pkg_resources
• update py2 warning message since python 2 is deprecated
• cleanup experiments, trials, and trial components in integ tests

v1.50.6.post0

Documentation changes

• add additional information to Transformer class transform function doc string

v1.50.6

Bug fixes and other changes

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

v1.50.5

Bug fixes and other changes

• Use serving_image_uri for Airflow

Documentation changes

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

v1.50.4

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

v1.50.3

Bug fixes and other changes

• ignore private Automatic Model Tuning hyperparameter when attaching AlgorithmEstimator

Documentation changes

• add Debugger API docs

v1.50.2

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"

v1.50.1

Bug fixes and other changes

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

v1.50.0

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