Bump mlflow from 2.8.1 to 2.9.1 in /requirements

[dependabot[bot]]

Bumps mlflow from 2.8.1 to 2.9.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.9.1 is a patch release, containing a critical bug fix related to loading pyfunc models that were saved in previous versions of MLflow.

Bug fixes:

• [Models] Revert Changes to PythonModel that introduced loading issues for models saved in earlier versions of MLflow (#10626, @​BenWilson2)

Small bug fixes and documentation updates:

#10625, @​BenWilson2

MLflow 2.9.0 includes several major features and improvements.

MLflow AI Gateway deprecation (#10420, @​harupy)

The feature previously known as MLflow AI Gateway has been moved to utilize the MLflow deployments API. For guidance on migrating from the AI Gateway to the new deployments API, please see the MLflow AI Gateway Migration Guide.

MLflow Tracking docs overhaul (#10471, @​B-Step62)

The MLflow tracking docs have been overhauled. We'd like your feedback on the new tracking docs!

Security fixes

Three security patches have been filed with this release and CVE's have been issued with the details involved in the security patch and potential attack vectors. Please review and update your tracking server deployments if your tracking server is not securely deployed and has open access to the internet.

• Sanitize path in HttpArtifactRepository.list_artifacts (#10585, @​harupy)
• Sanitize filename in Content-Disposition header for HTTPDatasetSource (#10584, @​harupy).
• Validate Content-Type header to prevent POST XSS (#10526, @​B-Step62)

Features

• [Tracking] Use backoff_jitter when making HTTP requests (#10486, @​ajinkyavbhandare)
• [Tracking] Add default aggregate_results if the score type is numeric in make_metric API (#10490, @​sunishsheth2009)
• [Tracking] Add string type of score types for metric value for genai (#10307, @​sunishsheth2009)
• [Artifacts] Support multipart upload for for proxy artifact access (#9521, @​harupy)
• [Models] Support saving torch_dtype for transformers models (#10586, @​serena-ruan)
• [Models] Add built-in metric ndcg_at_k to retriever evaluation (#10284, @​liangz1)
• [Model Registry] Implement universal copy_model_version (#10308, @​jerrylian-db)
• [Models] Support saving/loading RunnableSequence, RunnableParallel, and RunnableBranch (#10521, #10611, @​serena-ruan)

Bug fixes

• [Tracking] Resume system metrics logging when resuming an existing run (#10312, @​chenmoneygithub)
• [UI] Fix incorrect sorting order in line chart (#10553, @​B-Step62)
• [UI] Remove extra whitespace in git URLs (#10506, @​mrplants)
• [Models] Make spark_udf use NFS to broadcast model to spark executor on databricks runtime and spark connect mode (#10463, @​WeichenXu123)
• [Models] Fix promptlab pyfunc models not working for chat routes (#10346, @​daniellok-db)

Documentation updates

... (truncated)

Changelog

Sourced from mlflow's changelog.

2.9.1 (2023-12-07)

MLflow 2.9.1 is a patch release, containing a critical bug fix related to loading pyfunc models that were saved in previous versions of MLflow.

Bug fixes:

• [Models] Revert Changes to PythonModel that introduced loading issues for models saved in earlier versions of MLflow (#10626, @​BenWilson2)

Small bug fixes and documentation updates:

#10625, @​BenWilson2

2.9.0 (2023-12-05)

MLflow 2.9.0 includes several major features and improvements.

MLflow AI Gateway deprecation (#10420, @​harupy):

The feature previously known as MLflow AI Gateway has been moved to utilize the MLflow deployments API. For guidance on migrating from the AI Gateway to the new deployments API, please see the [MLflow AI Gateway Migration Guide](https://mlflow.org/docs/latest/llms/gateway/migration.html.

MLflow Tracking docs overhaul (#10471, @​B-Step62):

The MLflow tracking docs have been overhauled. We'd like your feedback on the new tracking docs!

Security fixes:

Three security patches have been filed with this release and CVE's have been issued with the details involved in the security patch and potential attack vectors. Please review and update your tracking server deployments if your tracking server is not securely deployed and has open access to the internet.

• Sanitize path in HttpArtifactRepository.list_artifacts (#10585, @​harupy)
• Sanitize filename in Content-Disposition header for HTTPDatasetSource (#10584, @​harupy).
• Validate Content-Type header to prevent POST XSS (#10526, @​B-Step62)

Features:

• [Tracking] Use backoff_jitter when making HTTP requests (#10486, @​ajinkyavbhandare)
• [Tracking] Add default aggregate_results if the score type is numeric in make_metric API (#10490, @​sunishsheth2009)
• [Tracking] Add string type of score types for metric value for genai (#10307, @​sunishsheth2009)
• [Artifacts] Support multipart upload for for proxy artifact access (#9521, @​harupy)
• [Models] Support saving torch_dtype for transformers models (#10586, @​serena-ruan)
• [Models] Add built-in metric ndcg_at_k to retriever evaluation (#10284, @​liangz1)
• [Model Registry] Implement universal copy_model_version (#10308, @​jerrylian-db)
• [Models] Support saving/loading RunnableSequence, RunnableParallel, and RunnableBranch (#10521, #10611, @​serena-ruan)

Bug fixes:

• [Tracking] Resume system metrics logging when resuming an existing run (#10312, @​chenmoneygithub)
• [UI] Fix incorrect sorting order in line chart (#10553, @​B-Step62)
• [UI] Remove extra whitespace in git URLs (#10506, @​mrplants)
• [Models] Make spark_udf use NFS to broadcast model to spark executor on databricks runtime and spark connect mode (#10463, @​WeichenXu123)

... (truncated)

Commits

• 511d7db Run python3 dev/update_mlflow_versions.py pre-release ... (#10630)
• 003dda0 Revert Changes to PythonModel that introduced loading issues (#10626)
• 6262e03 fix transformers notebooks (#10625)
• 7fbdfa5 Run python3 dev/update_mlflow_versions.py pre-release ... (#10616)
• 6396d28 Openai flavor for 0.x works with requests.post (#10615)
• fc125c2 Support extra env vars in spark udf (#10605)
• 4b68dac Handle multiple optimizers in PyTorch Lightning step autologging (#10613)
• fff1592 Fix for openai >= 1.0.0 (#10607)
• b1584a5 Support Scala 2.13 in mlflow-spark (#10505)
• 6410253 Support saving/loading RunnableBranch (#10611)
• Additional commits viewable in compare view

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