sagemaker-python-sdk

Bug Fixes and Other Changes

• local mode deletion of temp files on job end
• Cron expression resetting on update monitor
• added support to update arguments in create_monitoring_schedule

Features

• Add python 3.9 and spark 3.2 support for spark processor
• Adding support for Multi Worker Mirrored Strategy in TF estimator

Bug Fixes and Other Changes

• tag permission issue - remove describe before create

Features

• feature store with_feature_group functionality changes
• Adding support for SageMaker Training Compiler PyTorch 1.13
• support of the intelligent stopping in the tuner
• AutoGluon 0.6.2 image_uris update
• Support for flexible instance types in the HPO
• Add business details and hyper parameters fields and update test_model_card.py

Bug Fixes and Other Changes

• disable the tuner test
• Skip test_run_from_transform_job integ test to unblock python-sdk code pipeline
• Revert "feature: feature store with_feature_group functionality changes"
• advanced inference recommendation jobs parameters check
• make model_config optional when predicted labels are provided for bias detection

Features

• support cluster lifecycle management for Sagemaker EMR step
• Inference recommendation id deployment support

Bug Fixes and Other Changes

• test dub gpu integs with p3
• fix(experiments/run.py): Stop duplication of RUN_TC_TAG on Consecutive Experiment Runs
• Enable load_run without name args in Transform env
• Remove confusing log line emitted during feature group ingestion
• Enable Experiment integ test on beta clients
• Make test_processor_with_role_as_pipeline_parameter more concrete

Documentation Changes

• add security note for the estimator hyperparameter arg
• SageMaker distributed - model parallism library release note
• Add a deprecation note for DetailedProfileConfig

Features

• Display file diff on black-check
• Support for environment variables in the HPO
• Support role as PipelineParameter in Processor class
• Add TrainingImageConfig support for SageMaker training jobs

Bug Fixes and Other Changes

• use FeatureGroup's Session in nonconcurrency ingestion
• Update feature_group.py ingest() description
• Do not use print function. User logger instead
• Add batch_get_record and search API for FeatureStore
• hashing problem for framework processors with identical source dirs

Features

• Add PyTorch 1.13.1 to SDK
• Adding image_uri config for DJL containers
• Support specifying env-vars when creating model from model package
• local download dir for Model and Estimator classes

Bug Fixes and Other Changes

• increase creation time slack minutes
• Enable load_run auto pass in experiment config
• Add us-isob-east-1 accounts and configs
• Clean up Pipeline unit tests

Features

• add p2 deprecation for PT>=1.13
• TF2.11 Update to PySDK

Bug Fixes and Other Changes

• Improve Pipeline integ tests and fix resource leak
• Update TF version to 2.8.4

Features

• right_size() for inference recommender

Bug Fixes and Other Changes

• tf 2.9.3 release images
• Retry ValueError for airflow tests

Features

• tensorflow inference 2.10.1 release

Features

• AutoGluon 0.6.1 image_uris

Bug Fixes and Other Changes

• Fix broken link in doc
• Do not specify S3 path for disabled profiler

Documentation Changes

• fix the incorrect property reference

Features

• add RandomSeed to support reproducible HPO

Bug Fixes and Other Changes

• Correct SageMaker Clarify API docstrings by changing JSONPath to JMESPath

Features

• Doc update for TableFormatEnum
• Add p4de to smddp supported instance types
• Add disable_profiler field in config and propagate changes
• Added doc update for dataset builder

Bug Fixes and Other Changes

• Use Async Inference Config when available for endpoint update

Documentation Changes

• smdistributed libraries release notes

Features

• Add support for TF2.9.2 training images
• Add SageMaker Experiment

Features

• Feature Store dataset builder, delete_record, get_record, list_feature_group
• Add OSU region to frameworks for DLC

Bug Fixes and Other Changes

• the Hyperband support fix for the HPO
• unpin packaging version
• Remove content type image/jpg from analysis configuration schema

Bug Fixes and Other Changes

• Update for Tensorflow Serving 2.11 inference DLCs
• Revert "fix: type hint of PySparkProcessor init"
• Skip Bad Transform Test

Bug Fixes and Other Changes

• Pop out ModelPackageName from pipeline definition
• Fix failing jumpstart cache unit tests

Features

• Algorithms Region Expansion OSU/DXB

Bug Fixes and Other Changes

• FrameworkProcessor S3 uploads
• Add constraints file for apache-airflow

Features

• Add Neo image uri config for Pytorch 1.12
• Adding support for SageMaker Training Compiler in PyTorch estimator starting 1.12
• Update registries with new region account number mappings.
• Add DXB region to frameworks by DLC

Bug Fixes and Other Changes

• support idempotency for framework and spark processors

Features

• Add Code Owners file
• Added transform with monitoring pipeline step in transformer
• Update TF 2.9 and TF 2.10 inference DLCs
• make estimator accept json file as modelparallel config
• SageMaker Training Compiler does not support p4de instances
• Add support for SparkML v3.3

Bug Fixes and Other Changes

• Fix bug forcing uploaded tar to be named sourcedir
• Update local_requirements.txt PyYAML version
• refactoring : using with statement
• Allow Py 3.7 for MMS Test Docker env
• fix PySparkProcessor init params type
• type hint of PySparkProcessor init
• Return ARM XGB/SKLearn tags if image_scope is inference_graviton
• Update scipy to 1.7.3 to support M1 development envs
• Fixing type hints for Spark processor that has instance type/count params in reverse order
• Add DeepAR ap-northeast-3 repository.
• Fix AsyncInferenceConfig documentation typo
• fix ml_inf to ml_inf1 in Neo multi-version support
• Fix type annotations
• add neo mvp region accounts