Bump sagemaker from 2.251.1 to 3.8.0 in /workshops/mastering-fine-tuning-with-vlm-qwen3-vl/sagemaker_code#253
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Bumps [sagemaker](https://github.com/aws/sagemaker-python-sdk) from 2.251.1 to 3.8.0. - [Release notes](https://github.com/aws/sagemaker-python-sdk/releases) - [Changelog](https://github.com/aws/sagemaker-python-sdk/blob/master/CHANGELOG.md) - [Commits](aws/sagemaker-python-sdk@v2.251.1...v3.8.0) --- updated-dependencies: - dependency-name: sagemaker dependency-version: 3.8.0 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Bumps sagemaker from 2.251.1 to 3.8.0.
Release notes
Sourced from sagemaker's releases.
... (truncated)
Changelog
Sourced from sagemaker's changelog.
... (truncated)
Commits
98683acchore: Bump version to 3.8.0 for release (#5768)cbed9a3Feature store lakeformation (#5599)3e51f03fix(eval): resolve mlflow_resource_arn in _get_base_template_context (#5758)e3adb80Feature Store Iceberg Properties (#5685)6b4a35ffeature: Torch dependency in sagameker-core to be made optional (5457) (#5713)215713ffix: load_feature_definitions_from_dataframe() doesn't recognize pandas nulla...b6d86f6fix: MLFlow E2E Example Notebook (5513) (#5727)fb6bb86fix: Invalid import (5637) (#5723)daf19b0Fix: Add mlflowconfig to eval base model (#5745)6134e57fix: build timeout for readthedocs (#5744)Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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