Bump mlflow from 1.10.0 to 2.9.1 in /tutorials/uv-metrics #117
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Bumps [mlflow](https://github.com/mlflow/mlflow) from 1.10.0 to 2.9.1. - [Release notes](https://github.com/mlflow/mlflow/releases) - [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md) - [Commits](mlflow/mlflow@v1.10.0...v2.9.1) --- updated-dependencies: - dependency-name: mlflow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #117 +/- ##
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Partials ? 0 ☔ View full report in Codecov by Sentry. |
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Superseded by #118. |
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Bumps mlflow from 1.10.0 to 2.9.1.
Release notes
Sourced from mlflow's releases.
... (truncated)
Changelog
Sourced from mlflow's changelog.
... (truncated)
Commits
511d7dbRunpython3 dev/update_mlflow_versions.py pre-release ...(#10630)003dda0Revert Changes to PythonModel that introduced loading issues (#10626)6262e03fix transformers notebooks (#10625)7fbdfa5Runpython3 dev/update_mlflow_versions.py pre-release ...(#10616)6396d28Openai flavor for 0.x works with requests.post (#10615)fc125c2Support extra env vars in spark udf (#10605)4b68dacHandle multiple optimizers in PyTorch Lightning step autologging (#10613)fff1592Fix for openai >= 1.0.0 (#10607)b1584a5Support Scala 2.13 in mlflow-spark (#10505)6410253Support saving/loading RunnableBranch (#10611)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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