Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v1.56.3
Bug Fixes and Other Changes
- update xgboost latest image version
v1.56.2
Bug Fixes and Other Changes
- training_config returns MetricDefinitions
- preserve inference script in model repack.
Testing and Release Infrastructure
- support Python 3.7
v1.56.1.post1
Documentation Changes
- document model.tar.gz structure for MXNet and PyTorch
- add documentation for EstimatorBase parameters missing from docstring
v1.56.1.post0
Testing and Release Infrastructure
- add doc8 check for documentation files
v1.56.1
Bug Fixes and Other Changes
- add super() call in Local Mode DataSource subclasses
- fix xgboost image incorrect latest version warning
- allow output_path without trailing slash in Local Mode training jobs
- allow S3 folder input to contain a trailing slash in Local Mode
Documentation Changes
- Add namespace-based setup for SageMaker Operators for Kubernetes
- Add note about file URLs for Estimator methods in Local Mode
v1.56.0
Features
- add EIA support for TFS 1.15.0 and 2.0.0
Bug Fixes and Other Changes
- use format strings intead of os.path.join for Unix paths for Processing Jobs
v1.55.4
Bug Fixes and Other Changes
- use valid encryption key arg for S3 downloads
- update sagemaker pytorch containers to external link
- allow specifying model name when creating a Transformer from an Estimator
- allow specifying model name in create_model() for TensorFlow, SKLearn, and XGBoost
- allow specifying model name in create_model() for Chainer, MXNet, PyTorch, and RL
Documentation Changes
- fix wget endpoints
- add Adobe Analytics; upgrade Sphinx and docs environment
- Explain why default model_fn loads PyTorch-EI models to CPU by default
- Set theme in conf.py
- correct transform()'s wait default value to "False"
Testing and Release Infrastructure
- move unit tests for updating an endpoint to test_deploy.py
- move Neo unit tests to a new file and directly use the Model class
- move Model.deploy unit tests to separate file
- add Model unit tests for delete_model and enable_network_isolation
- skip integ tests in PR build if only unit tests are modified
- add Model unit tests for prepare_container_def and _create_sagemaker_model
- use Model class for model deployment unit tests
- split model unit tests by Model, FrameworkModel, and ModelPackage
- add Model unit tests for all transformer() params
- add TF batch transform integ test with KMS and network isolation
- use pytest fixtures in batch transform integ tests to train and upload to S3 only once
- improve unit tests for creating Transformers and transform jobs
- add PyTorch + custom model bucket batch transform integ test
v1.55.3
Bug Fixes and Other Changes
- remove .strip() from batch transform
- allow model with network isolation when creating a Transformer from an Estimator
- add enable_network_isolation to EstimatorBase
v1.55.2
Bug Fixes and Other Changes
- use .format instead of os.path.join for Processing S3 paths.
Testing and Release Infrastructure
- use m5.xlarge instances for "ap-northeast-1" region integ tests.
v1.55.1
Bug Fixes and Other Changes
- correct local mode behavior for CN regions