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Releases: aws/sagemaker-python-sdk

v2.124.0

16 Dec 00:23
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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

v2.123.0

15 Dec 01:19
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Features

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

v2.122.0

14 Dec 03:40
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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

v2.121.2

12 Dec 18:19
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Bug Fixes and Other Changes

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

v2.121.1

09 Dec 06:20
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Bug Fixes and Other Changes

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

v2.121.0

08 Dec 06:16
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Features

  • Algorithms Region Expansion OSU/DXB

Bug Fixes and Other Changes

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

v2.120.0

07 Dec 03:20
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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

v2.119.0

03 Dec 03:22
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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

v2.118.0

01 Dec 01:21
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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

v2.117.0

15 Nov 03:24
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Features

  • add support for PT1.12.1