Bump mlflow from 2.8.0 to 2.8.1

[dependabot]

Bumps mlflow from 2.8.0 to 2.8.1.

Release notes

Sourced from mlflow's releases.

MLflow 2.8.1 is a patch release, containing some critical bug fixes and an update to our continued work on reworking our docs.

Notable details:

• The API mlflow.llm.log_predictions is being marked as deprecated, as its functionality has been incorporated into mlflow.log_table. This API will be removed in the 2.9.0 release. (#10414, @​dbczumar)

Bug fixes:

• [Artifacts] Fix a regression in 2.8.0 where downloading a single file from a registered model would fail (#10362, @​BenWilson2)
• [Evaluate] Fix the Azure OpenAI integration for mlflow.evaluate when using LLM judge metrics (#10291, @​prithvikannan)
• [Evaluate] Change Examples to optional for the make_genai_metric API (#10353, @​prithvikannan)
• [Evaluate] Remove the fastapi dependency when using mlflow.evaluate for LLM results (#10354, @​prithvikannan)
• [Evaluate] Fix syntax issues and improve the formatting for generated prompt templates (#10402, @​annzhang-db)
• [Gateway] Fix the Gateway configuration validator pre-check for OpenAI to perform instance type validation (#10379, @​BenWilson2)
• [Tracking] Fix an intermittent issue with hanging threads when using asynchronous logging (#10374, @​chenmoneygithub)
• [Tracking] Add a timeout for the mlflow.login() API to catch invalid hostname configuration input errors (#10239, @​chenmoneygithub)
• [Tracking] Add a flush operation at the conclusion of logging system metrics (#10320, @​chenmoneygithub)
• [Models] Correct the prompt template generation logic within the Prompt Engineering UI so that the prompts can be used in the Python API (#10341, @​daniellok-db)
• [Models] Fix an issue in the SHAP model explainability functionality within mlflow.shap.log_explanation so that duplicate or conflicting dependencies are not registered when logging (#10305, @​BenWilson2)

Documentation updates:

• [Docs] Add MLflow Tracking Quickstart (#10285, @​BenWilson2)
• [Docs] Add tracking server configuration guide (#10241, @​chenmoneygithub)
• [Docs] Refactor and improve the model deployment quickstart guide (#10322, @​prithvikannan)
• [Docs] Add documentation for system metrics logging (#10261, @​chenmoneygithub)

Small bug fixes and documentation updates:

#10367, #10359, #10358, #10340, #10310, #10276, #10277, #10247, #10260, #10220, #10263, #10259, #10219, @​harupy; #10313, #10303, #10213, #10272, #10282, #10283, #10231, #10256, #10242, #10237, #10238, #10233, #10229, #10211, #10231, #10256, #10242, #10238, #10237, #10229, #10233, #10211, @​BenWilson2; #10375, @​serena-ruan; #10330, @​Haxatron; #10342, #10249, #10249, @​B-Step62; #10355, #10301, #10286, #10257, #10236, #10270, #10236, @​prithvikannan; #10321, #10258, @​jerrylian-db; #10245, @​jessechancy; #10278, @​daniellok-db; #10244, @​gabrielfu; #10226, @​milinddethe15; #10390, @​bbqiu; #10232, @​sunishsheth2009

Changelog

Sourced from mlflow's changelog.

2.8.1 (2023-11-14)

MLflow 2.8.1 is a patch release, containing some critical bug fixes and an update to our continued work on reworking our docs.

Notable details:

• The API mlflow.llm.log_predictions is being marked as deprecated, as its functionality has been incorporated into mlflow.log_table. This API will be removed in the 2.9.0 release. (#10414, @​dbczumar)

Bug fixes:

• [Artifacts] Fix a regression in 2.8.0 where downloading a single file from a registered model would fail (#10362, @​BenWilson2)
• [Evaluate] Fix the Azure OpenAI integration for mlflow.evaluate when using LLM judge metrics (#10291, @​prithvikannan)
• [Evaluate] Change Examples to optional for the make_genai_metric API (#10353, @​prithvikannan)
• [Evaluate] Remove the fastapi dependency when using mlflow.evaluate for LLM results (#10354, @​prithvikannan)
• [Evaluate] Fix syntax issues and improve the formatting for generated prompt templates (#10402, @​annzhang-db)
• [Gateway] Fix the Gateway configuration validator pre-check for OpenAI to perform instance type validation (#10379, @​BenWilson2)
• [Tracking] Fix an intermittent issue with hanging threads when using asynchronous logging (#10374, @​chenmoneygithub)
• [Tracking] Add a timeout for the mlflow.login() API to catch invalid hostname configuration input errors (#10239, @​chenmoneygithub)
• [Tracking] Add a flush operation at the conclusion of logging system metrics (#10320, @​chenmoneygithub)
• [Models] Correct the prompt template generation logic within the Prompt Engineering UI so that the prompts can be used in the Python API (#10341, @​daniellok-db)
• [Models] Fix an issue in the SHAP model explainability functionality within mlflow.shap.log_explanation so that duplicate or conflicting dependencies are not registered when logging (#10305, @​BenWilson2)

Documentation updates:

• [Docs] Add MLflow Tracking Quickstart (#10285, @​BenWilson2)
• [Docs] Add tracking server configuration guide (#10241, @​chenmoneygithub)
• [Docs] Refactor and improve the model deployment quickstart guide (#10322, @​prithvikannan)
• [Docs] Add documentation for system metrics logging (#10261, @​chenmoneygithub)

Small bug fixes and documentation updates:

#10367, #10359, #10358, #10340, #10310, #10276, #10277, #10247, #10260, #10220, #10263, #10259, #10219, @​harupy; #10313, #10303, #10213, #10272, #10282, #10283, #10231, #10256, #10242, #10237, #10238, #10233, #10229, #10211, #10231, #10256, #10242, #10238, #10237, #10229, #10233, #10211, @​BenWilson2; #10375, @​serena-ruan; #10330, @​Haxatron; #10342, #10249, #10249, @​B-Step62; #10355, #10301, #10286, #10257, #10236, #10270, #10236, @​prithvikannan; #10321, #10258, @​jerrylian-db; #10245, @​jessechancy; #10278, @​daniellok-db; #10244, @​gabrielfu; #10226, @​milinddethe15; #10390, @​bbqiu; #10232, @​sunishsheth2009

Commits

• 98269ed Deprecate mlflow.llm.log_predictions() (#10414)
• b0fabca unindent gen ai metrics (#10390)
• 646e557 Fix prompt template (#10402)
• b3831aa Add reference to LLM evaluation page in Prompt Engineering UI docs (#10279)
• 052ffa2 Test pyarrow 14 (#10359)
• d6eebe8 Run python3 dev/update_mlflow_versions.py pre-release ... (#10389)
• ccdf66f Install pandoc in devcontainer (#10367)
• b3a71b2 Install GitHub CLI in devcontainer (#10358)
• 1156352 Fix spark jobs (#10340)
• a401fa0 Fix langchain test (#10313)
• Additional commits viewable in compare view

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[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Comparison is base (5c53072) 99.16% compared to head (5a56929) 99.16%.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #336   +/-   ##
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  Coverage   99.16%   99.16%           
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  Files          32       32           
  Lines        3600     3600           
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  Hits         3570     3570           
  Misses         30       30           

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