sagemaker-python-sdk

Features

• Enable customizing artifact output path

Bug Fixes and Other Changes

• Add il-central-1 support for all SM DLCs
• jumpstart async inference config predictor support
• Update CreateEdgePackagingJob resourceKey with type string

Features

• Add support for tags in to_pipeline API for feature processor
• model registry integration to model cards to support model packages
• SDK Defaults - DebugHookConfig defaults in TrainingJob API
• Add segment config for Clarify

Bug Fixes and Other Changes

• Neuronx image retrieval missing sdk information

Documentation Changes

• Doc updates for SDK defaults - S3 Params, Env Variables, Disable Profiler, and DebugHookConfig

Features

• Support uncompressed model upload
• Add optional monitoring_config_override parameter in suggest_baseline API
• SDK defaults add disable profiler to createTrainingJob

Bug Fixes and Other Changes

• Enable spark processing container in KIX
• Fix key prefix preventing jumpstart model repack

Features

• add SageMaker FeatureStore feature processing

Bug Fixes and Other Changes

• Chore/reset cache if js model not found

Features

• Add inf2 support to HuggingFaceModel
• adding resourcekey and tags for api in config for SDK defaults

Bug Fixes and Other Changes

• Remove deprecated option.s3url in favor of option.model_id
• Use sagemaker config keyword
• SDK Defaults Config - Handle config injection for None Sessions
• Fix HPO Grid Search comparison and name

Features

• Add support for Deployment Recommendation ID in model.deploy(). No tagging support

Bug Fixes and Other Changes

• maketplace integs
• Add tagging assert to inference recommender integ tests
• breaking deviations in _create_sagemaker_model call

Documentation Changes

• Add missing quotation mark

Features

• SDK Defaults - Environment Variables
• Update Transformers 4.28 - PyTorch 2.0.0 Training and Inference Image URI

Bug Fixes and Other Changes

• tag more integs as flaky for auto-retry
• Remove docker-compose from local requirements
• enable neo framework version support on ml_inf2 and ml_trn1

Features

• Add huggingface-llm 0.8.2 dlc images

Bug Fixes and Other Changes

• Update to more actionable error message
• Loosen local reqs for PyYAML

Features

• Add tagging support for create ir job
• Selective Step Execution feature in Pipelines
• Add Neuronx Image uri - Transformers 4.28 - PyTorch 1.13

Bug Fixes and Other Changes

• skip pipelines abalone notebook test
• Update neo multiversion support to include edge devices

Documentation Changes

• JumpStart Utility Doc Update

Features

• Add huggingface-llm 0.6.0 dlc images
• Add autotune for HyperparameterTuner

Bug Fixes and Other Changes

• Remove release tag from non-global test
• SDK defaults for volume size, JS Estimator image uri region, Predictor str method

Features

• PyTorch 2.0 release
• Add TFS 2.12.1 Graviton image

Bug Fixes and Other Changes

• Fix failing integ test
• remove unnecessary log messages for loading existing experiment runs
• build(deps): bump requests from 2.27.1 to 2.31.0 in /requirements/extras
• SDK Defaults - switch from config printing to logging

Features

• Add TF Serving 2.12.1 images to the SM PySDK

Bug Fixes and Other Changes

• Update the list of extension packages pylint is allowed to load

Features

• Enable default role for Spark processors
• SDK Defaults - S3 Params for Session
• Bump up images for DJL transformers Neuronx DLCs

Bug Fixes and Other Changes

• Relax local-mode PyPI requirements on urllib3

Documentation Changes

• Fix Tensorflow and PyTorch supported version in HuggingFaceProcessor
• Update doc for model_server_workers param in PyTorchModel

Features

• Handle use case where endpoint is created outside of python …

Bug Fixes and Other Changes

• Make type annotation of UploadedCode consistent
• Add SELinux label to local docker volumes

Features

• Partition support for DJLModel using SM Training job
• Update run-notebook-test to consider skips failures

Bug Fixes and Other Changes

• Update apache airflow and update test requirements
• Perform integrity checks for remote function execution
• Add p2 instances to integ tests
• Fix typo in logging message within ir mixin
• double Run create on load_run
• Update dtype logic for huggingface backend for new containers

Documentation Changes

• Update container version for SKLearn
• Add description for parameters in TransformInput

Features

• Add support for SageMaker Serverless inference Provisioned Concurrency feature

Bug Fixes and Other Changes

• Revert "fix: make RemoteExecutor context manager non-blocking on pend…
• Add BOM to no No P2 Availability region list

Features

• Add integ tests for remote_function, auto_capture functionality
• jumpstart model estimator classes

Bug Fixes and Other Changes

• integs - pytorch transformer deps and add test retry
• adding .lower() so new Pandas dtypes will match the type lookup.
• Pass KMS value to create processing job

Features

• Support npz archives in NumpyDeserializer
• Add FasterTransformer DJL support
• support for Sample Weights for SageMaker Autopilot

Bug Fixes and Other Changes

• retry is_run assertion
• Avoid 'AttributeError' for endpoint_name, if deploy() is not yet called
• Fix LambdaStep Creation
• Fix error when instance_count>1 in remote_function
• Remove deprecated update_endpoint from deploy() args in TensorFlowModel
• Update DJL deepspeed and fastertransformer DLC image uris
• remote_function python version mismatch issue

Features

• add support for lineage visualization using pyvis
• Expose Experiment class publicly
• PyTorch 1.13 release

Bug Fixes and Other Changes

• Change data_type argument to dtype to keep consistent with D…
• Skip edge test
• make RemoteExecutor context manager non-blocking on pending futures
• Add inferentia2 DLC images for djl framework
• Fix typo in using_pytorch.rst
• Unable to attach estimator to training job when KeepAlivePeriodInSeconds specified
• update LMI container image
• Update Clarify SHAPConfig baseline to allow JSON structures

Documentation Changes

• Fix broken link in DJL SageMaker docs
• currency update for the SageMaker data parallelism lib
• SM model parallel library v1.15.0 release note

Features

• Update Transformers 4.26 - TensorFlow 2.11.0 Image URI
• Add Extra Parameters to Lambda Function Wrapper

Bug Fixes and Other Changes

• Add kms key support for Model registration
• Enable inference recommender slow tests
• Pass sagemaker session to downstream s3 calls
• Add ap-south-1 to no p3 regions
• skip test for p2 instance for TF2.12 and above

Documentation Changes

• Fix minor misses from the remote function doc release