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openproblems-bio / openproblems

Formalizing and benchmarking open problems in single-cell genomics
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Update sagemaker requirement from ==2.116.* to ==2.119.* in /docker/openproblems #738

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Updates the requirements on sagemaker to permit the latest version.

Release notes

Sourced from sagemaker's releases.

v2.119.0

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
Changelog

Sourced from sagemaker's changelog.

v2.119.0 (2022-12-03)

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 (2022-12-01)

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

... (truncated)

Commits


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dependabot[bot] commented 1 year ago

Superseded by #747.