sagemaker-python-sdk

Features

• Update boto3 version to 1.26.20
• support table format option for create feature group.
• Support Amazon SageMaker Model Cards
• support monitoring alerts api
• Support Amazon SageMaker AutoMLStep

Bug Fixes and Other Changes

• integration test in anticipate of ProfilerConfig API changes
• Add more integ test logic for AutoMLStep
• update get_execution_role_arn to use role from DefaultSpaceSettings
• bug on AutoMLInput to allow PipelineVariable
• FinalMetricDataList is missing from the training job search resu…
• add integration tests for Model Card
• update AutoMLStep with cache improvement

Documentation Changes

• automlstep doc update

Features

• add support for PT1.12.1

Features

• support customized timeout for model data download and inference container startup health check for Hosting Endpoints
• Trainium Neuron support for PyTorch
• Pipelines cache keys update
• Caching Improvements for SM Pipeline Workflows

Features

• Add support for TF 2.10 training
• Disable profiler for Trainium instance type
• support the Hyperband strategy with the StrategyConfig
• support the GridSearch strategy for hyperparameter optimization

Bug Fixes and Other Changes

• Update Graviton supported instance families

Features

• Graviton support for XGB and SKLearn frameworks
• Graviton support for PyTorch and Tensorflow frameworks
• do not expand estimator role when it is pipeline parameter
• added support for batch transform with model monitoring

Bug Fixes and Other Changes

• regex in tuning integs
• remove debugger environment var set up
• adjacent slash in s3 key
• Fix Repack step auto install behavior
• Add retry for airflow ParsingError

Documentation Changes

• doc fix

Features

• support torch_distributed distribution for Trainium instances

Bug Fixes and Other Changes

• bump apache-airflow from 2.4.0 to 2.4.1 in /requirements/extras

Documentation Changes

• fix kwargs and descriptions of the smdmp checkpoint function
• add the doc for the MonitorBatchTransformStep

Bug Fixes and Other Changes

• Update Neo-TF2.x versions to TF2.9(.2)

Documentation Changes

• fix typo in PR template

Bug Fixes and Other Changes

• fix(local-mode): loosen docker requirement to allow 6.0.0
• CreateModelPackage API error for Scikit-learn and XGBoost frameworkss

Features

• added monitor batch transform step (pipeline)

Bug Fixes and Other Changes

• Add PipelineVariable annotation to framework estimators

Features

• Edit test file for supporting TF 2.10 training

Bug Fixes and Other Changes

• support kms key in processor pack local code
• security issue by bumping apache-airflow from 2.3.4 to 2.4.0
• instance count retrieval logic
• Add regex for short-form sagemaker-xgboost tags
• Upgrade attrs>=20.3.0,<23
• Add PipelineVariable annotation to Amazon estimators

Documentation Changes

• add context for pytorch

Features

• Support KeepAlivePeriodInSeconds for Training APIs
• added ANALYSIS_CONFIG_SCHEMA_V1_0 in clarify
• add model monitor image accounts for ap-southeast-3

Bug Fixes and Other Changes

• huggingface release test
• Fixing the logic to return instanceCount for heterogeneousClusters
• Disable type hints in doc signature and add PipelineVariable annotations in docstring
• estimator hyperparameters in script mode

Documentation Changes

• Added link to example notebook for Pipelines local mode

Features

• add search filters

Bug Fixes and Other Changes

• local pipeline step argument parsing bug
• support fail_on_violation flag for check steps
• fix links per app security scan
• Add PipelineVariable annotation for all processor subclasses

Documentation Changes

• the SageMaker model parallel library 1.11.0 release

Features

• Adding support in HuggingFace estimator for Training Compiler enhanced PyTorch 1.11

Bug Fixes and Other Changes

• add sagemaker clarify image account for cgk region
• set PYTHONHASHSEED env variable to fixed value to fix intermittent failures in release pipeline
• trcomp fixtures to override default fixtures for integ tests

Documentation Changes

• add more info about volume_size

Features

• support python 3.10, update airflow dependency

Bug Fixes and Other Changes

• Add retry in session.py to check if training is finished

Documentation Changes

• remove Other tab in Built-in algorithms section and mi…

Features

• Implement Kendra Search in RTD website

Bug Fixes and Other Changes

• Add primitive_or_expr() back to conditions
• remove specifying env-vars when creating model from model package
• Add CGK in config for Spark Image

Features

• Added endpoint_name to clarify.ModelConfig
• adding workgroup functionality to athena query

Bug Fixes and Other Changes

• disable debugger/profiler in cgk region
• using unique name for lineage test to unblock PR checks

Documentation Changes

• update first-party algorithms and structural updates

Features

• local mode executor implementation
• Pipelines local mode setup
• Add PT 1.12 support
• added _AnalysisConfigGenerator for clarify

Bug Fixes and Other Changes

• yaml safe_load sagemaker config
• pipelines local mode minor bug fixes
• add local mode integ tests
• implement local JsonGet function
• Add Pipeline annotation in model base class and tensorflow estimator
• Allow users to customize trial component display names for pipeline launched jobs
• Update localmode code to decode urllib response as UTF8

Documentation Changes

• New content for Pipelines local mode
• Correct documentation error

Features

• AutoGluon 0.4.3 and 0.5.2 image_uris

Bug Fixes and Other Changes

• Revert "change: add a check to prevent launching a modelparallel job on CPU only instances"
• Add gpu capability to local
• Link PyTorch 1.11 to 1.11.0

Features

• add warnings for xgboost specific rules in debugger rules
• Add PyTorch DDP distribution support
• Add test for profiler enablement with debugger_hook false

Bug Fixes and Other Changes

• Two letter language code must be supported
• add a check to prevent launching a modelparallel job on CPU only instances
• Allow StepCollection added in ConditionStep to be depended on
• Add PipelineVariable annotation in framework models
• skip managed spot training mxnet nb

Documentation Changes

• smdistributed libraries currency updates

Bug Fixes and Other Changes

• added more ml frameworks supported by SageMaker Workflows
• test: Vspecinteg2
• Add PipelineVariable annotation in amazon models