Update sagemaker requirement from ==2.116.* to ==2.133.* in /docker/openproblems

[dependabot[bot]]

Updates the requirements on sagemaker to permit the latest version.

Release notes

Sourced from sagemaker's releases.

v2.133.0

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

Changelog

Sourced from sagemaker's changelog.

v2.133.0 (2023-02-18)

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

v2.132.0 (2023-02-07)

Features

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

v2.131.1 (2023-02-03)

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

v2.131.0 (2023-01-31)

Features

• Display file diff on black-check
• Support for environment variables in the HPO
• Support role as PipelineParameter in Processor class

... (truncated)

Commits

• da0c868 prepare release v2.133.0
• c4b5eef change: disable the tuner test (#3666)
• 48141db Skip test_run_from_transform_job integ test to unblock python-sdk code pipeli...
• 29710bb Revert "feature: feature store with_feature_group functionality changes" (#3657)
• 5dba70c feature: feature store with_feature_group functionality changes (#3630)
• cc9b286 fix: advanced inference recommendation jobs parameters check (#3644)
• b731021 feature: Adding support for SageMaker Training Compiler PyTorch 1.13 (#3629)
• 5cf3e44 feature: support of the intelligent stopping in the tuner (#3652)
• 4046ae4 feature: AutoGluon 0.6.2 image_uris update (#3649)
• d2d377f feature: Support for flexible instance types in the HPO (#3611)
• Additional commits viewable in compare view

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[dependabot[bot]]

Superseded by #839.