Chore(deps): Bump mlflow from 2.14.1 to 2.21.3 #215
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Bumps [mlflow](https://github.com/mlflow/mlflow) from 2.14.1 to 2.21.3. - [Release notes](https://github.com/mlflow/mlflow/releases) - [Changelog](https://github.com/mlflow/mlflow/blob/master/CHANGELOG.md) - [Commits](mlflow/mlflow@v2.14.1...v2.21.3) --- updated-dependencies: - dependency-name: mlflow dependency-version: 2.21.3 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <[email protected]>
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Bumps mlflow from 2.14.1 to 2.21.3.
Release notes
Sourced from mlflow's releases.
... (truncated)
Changelog
Sourced from mlflow's changelog.
... (truncated)
Commits
0a541f7Runpython3 dev/update_mlflow_versions.py pre-release ...(#15205)ce7c1c5Fix spark ML save model error in Databricks shared or serverless cluster (#15...6c8b26bAdd document page for DSPy optimizer tracking (#15143)ccc40caRename models/recources to prevent import errors (#15184)5281449Add 'return_type' argument to mlflow.search_traces() API (#15085)5ec71edRefactor_wrap_chat_agent_predictto be generalizable (#15118)a4410bcFix for tuple return type of dspy.Evaluate (#15157)10f57f8Rename field to results (#15137)6c3143bFix Spark model logging / loading in Databricks shared cluster and serverless...fb77131RemoveExperimentalin Gateway docs (#15172)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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