v1.18.11

Bug fixes and other changes

• local data source relative path includes the first directory
• upgrade pylint and fix tagging with SageMaker models

Documentation changes

• add info about unique job names

v1.18.10

Bug fixes and other changes

• make start time, end time and period configurable in sagemaker.analytics.TrainingJobAnalytics

Documentation changes

• fix typo of argument spelling in linear learner docstrings

v1.18.9.post1

Documentation changes

• spelling error correction

v1.18.9.post0

Documentation changes

• move RL readme content into sphinx project

v1.18.9

Bug fixes

• hyperparameter query failure on script mode estimator attached to complete job

Other changes

• add EI support for TFS framework

Documentation changes

• add third-party libraries sections to using_chainer and using_pytorch topics

v1.18.8

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()

v1.18.7

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

v1.18.6.post0

Documentation changes

• add mandatory sagemaker_role argument to Local mode example.

v1.18.6

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

Sagemaker Python SDK 1.18.5

• 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