Releases: aws/sagemaker-python-sdk
Releases · aws/sagemaker-python-sdk
v2.5.1
Bug Fixes and Other Changes
- formatting changes from updates to black
v2.5.0
Features
- add mypy tox target
Bug Fixes and Other Changes
- break out methods to get processing arguments
- break out methods to get train arguments
v2.4.2
Bug Fixes and Other Changes
- check ast node on later renamers for cli v2 updater
Documentation Changes
- Clarify removals in v2
v2.4.1
Bug Fixes and Other Changes
- update rulesconfig to 0.1.5
v2.4.0
Features
- Neo algorithm accounts for af-south-1 and eu-south-1
Bug Fixes and Other Changes
- upgrade pytest and other deps, tox clean-up
- upgrade airflow to 1.10.11
- update exception assertion with new api change
- docs: Add SerDe documentation
v2.3.0
Features
- support TF training 2.3
Documentation Changes
- update 1p estimators class description
v2.2.0
Features
- new 1P algorithm accounts for af-south-1 and eu-south-1
Bug Fixes and Other Changes
- update debugger us-east-1 account
- docs: Add information on Amazon SageMaker Operators usage in China
v2.1.0
Features
- add DLC account numbers for af-south-1 and eu-south-1
v2.0.1
Bug Fixes and Other Changes
- use pathlib.PurePosixPath for S3 URLs and Unix paths
- fix regions for updated RL images
Documentation Changes
- update CHANGELOG to reflect v2.0.0 changes
Testing and Release Infrastructure
- remove v2-incompatible notebooks from notebook build
v2.0.0
Breaking Changes
- rename s3_input to TrainingInput
- Move _NumpyDeserializer to sagemaker.deserializers.NumpyDeserializer
- rename numpy_to_record_serializer to RecordSerializer
- Move _CsvDeserializer to sagemaker.deserializers and rename to CSVDeserializer
- Move _JsonSerializer to sagemaker.serializers.JSONSerializer
- Move _NPYSerializer to sagemaker.serializers and rename to NumpySerializer
- Move _JsonDeserializer to sagemaker.deserializers.JSONDeserializer
- Move _CsvSerializer to sagemaker.serializers.CSVSerializer
- preserve script path when S3 source_dir is provided
- use image_uris.retrieve() for XGBoost URIs
- deprecate sagemaker.amazon.amazon_estimator.get_image_uri()
- deprecate fw_registry module and use image_uris.retrieve() for SparkML
- deprecate Python SDK CLI
- Remove the content_types module
- deprecate unused parameters
- deprecate fw_utils.create_image_uri()
- use images_uris.retrieve() for Debugger
- deprecate fw_utils.parse_s3_url in favor of s3.parse_s3_url
- deprecate unused functions from utils and fw_utils
- Remove content_type and accept parameters from Predictor
- Add parameters to deploy and remove parameters from create_model
- Add LibSVM serializer for XGBoost predictor
- move ShuffleConfig from sagemaker.session to sagemaker.inputs
- deprecate get_ecr_image_uri_prefix
- rename estimator.train_image() to estimator.training_image_uri()
- deprecate is_version_equal_or_higher and is_version_equal_or_lower
- default wait=True for HyperparameterTuner.fit() and Transformer.transform()
- remove unused bin/sagemaker-submit file
Features
- start new module for retrieving prebuilt SageMaker image URIs
- handle separate training/inference images and EI in image_uris.retrieve
- add support for Amazon algorithms in image_uris.retrieve()
- Add pandas deserializer
- Remove LegacySerializer and LegacyDeserializer
- Add sparse matrix serializer
- Add v2 SerDe compatability
- Add JSON Lines serializer
- add framework upgrade tool
- add 1p algorithm image_uris migration tool
- Update migration tool to support breaking changes to create_model
- support PyTorch 1.6 training
Bug Fixes and Other Changes
- handle named variables in v2 migration tool
- add modifier for s3_input class
- add XGBoost support to image_uris.retrieve()
- add MXNet configuration to image_uris.retrieve()
- add remaining Amazon algorithms for image_uris.retrieve()
- add PyTorch configuration for image_uris.retrieve()
- make image_scope optional for some images in image_uris.retrieve()
- separate logs() from attach()
- use image_uris.retrieve instead of fw_utils.create_image_uri for DLC frameworks
- use images_uris.retrieve() for scikit-learn classes
- use image_uris.retrieve() for RL images
- Rename BaseDeserializer.deserialize data parameter
- Add allow_pickle parameter to NumpyDeserializer
- Fix scipy.sparse imports
- Improve code style of SerDe compatibility
- use image_uris.retrieve for Neo and Inferentia images
- use generated RL version fixtures and update Ray version
- use image_uris.retrieve() for ModelMonitor default image
- use _framework_name for 'protected' attribute
- Fix JSONLinesDeserializer
- upgrade TFS version and fix py_versions KeyError
- Fix PandasDeserializer tests to more accurately mock response
- don't require instance_type for image_uris.retrieve() if only one option
- ignore code cells with shell commands in v2 migration tool
- Support multiple Accept types
Documentation Changes
- fix pip install command
- document name changes for TFS classes
- document v2.0.0 changes
- update KFP full pipeline
Testing and Release Infrastructure
- generate Chainer latest version fixtures from config
- use generated TensorFlow version fixtures
- use generated MXNet version fixtures