Bump mlflow from 2.8.1 to 2.9.1 in /datasets/cloud_data_connector/samples/interoperability

[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

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 @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/IntelAI/models/network/alerts).

[dependabot[bot]]

Superseded by #164.