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Releases: aws/sagemaker-python-sdk

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

v2.116.0

28 Oct 03:25
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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

v2.115.0

27 Oct 08:34
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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

v2.114.0

26 Oct 22:21
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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

v2.113.0

21 Oct 14:23
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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