fix(classify-mnist): update dependency mlflow to v2.8.1

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
mlflow (source)	2.8.0 -> 2.8.1

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Release Notes

mlflow/mlflow (mlflow)

v2.8.1

Compare Source

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

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