fix(predict-diabetes): update dependency mlflow to v2.7.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
mlflow (source)	2.6.0 -> 2.7.0

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Release Notes

mlflow/mlflow (mlflow)

v2.7.0

Compare Source

MLflow 2.7.0 includes several major features and improvements

• [UI / Gateway] We are excited to announce the Prompt Engineering UI. This new addition offers a suite of tools tailored for efficient prompt development, testing, and evaluation for LLM use cases. Integrated directly into the MLflow AI Gateway, it provides a seamless experience for designing, tracking, and deploying prompt templates. To read about this new feature, see the documentation at https://mlflow.org/docs/latest/llms/prompt-engineering.html (#​9503, @​prithvikannan)

Features:

• [Gateway] Introduce MosaicML as a supported provider for the MLflow AI Gateway (#​9459, @​arpitjasa-db)
• [Models] Add support for using a snapshot download location when loading a transformers model as pyfunc (#​9362, @​serena-ruan)
• [Server-infra] Introduce plugin support for MLflow Tracking Server authentication (#​9191, @​barrywhart)
• [Artifacts / Model Registry] Add support for storing artifacts using the R2 backend (#​9490, @​shichengzhou-db)
• [Artifacts] Improve upload and download performance for Azure-based artifact stores (#​9444, @​jerrylian-db)
• [Sagemaker] Add support for deploying models to Sagemaker Serverless inference endpoints (#​9085, @​dogeplusplus)

Bug fixes:

• [Gateway] Fix a credential expiration bug by re-resolving AI Gateway credentials before each request (#​9518, @​dbczumar)
• [Gateway] Fix a bug where search_routes would raise an exception when no routes have been defined on the AI Gateway server (#​9387, @​QuentinAmbard)
• [Gateway] Fix compatibility issues with pydantic 2.x for AI gateway (#​9339, @​harupy)
• [Gateway] Fix an initialization issue in the AI Gateway that could render MLflow nonfunctional at import if dependencies were conflicting. (#​9337, @​BenWilson2)
• [Artifacts] Fix a correctness issue when downloading large artifacts to fuse mount paths on Databricks (#​9545, @​BenWilson2)

Documentation updates:

• [Docs] Add documentation for the Giskard community plugin for mlflow.evaluate (#​9183, @​rabah-khalek)

Small bug fixes and documentation updates:

#​9605, #​9603, #​9602, #​9595, #​9597, #​9587, #​9590, #​9588, #​9586, #​9584, #​9583, #​9582, #​9581, #​9580, #​9577, #​9546, #​9566, #​9569, #​9562, #​9564, #​9561, #​9528, #​9506, #​9503, #​9492, #​9491, #​9485, #​9445, #​9430, #​9429, #​9427, #​9426, #​9424, #​9421, #​9419, #​9409, #​9408, #​9407, #​9394, #​9389, #​9395, #​9393, #​9390, #​9370, #​9356, #​9359, #​9357, #​9345, #​9340, #​9328, #​9329, #​9326, #​9304, #​9325, #​9323, #​9322, #​9319, #​9314, @​harupy; #​9568, #​9520, @​dbczumar; #​9593, @​jerrylian-db; #​9574, #​9573, #​9480, #​9332, #​9335, @​BenWilson2; #​9556, @​shichengzhou-db; #​9570, #​9540, #​9533, #​9517, #​9354, #​9453, #​9338, @​prithvikannan; #​9565, #​9560, #​9536, #​9504, #​9476, #​9481, #​9450, #​9466, #​9418, #​9397, @​serena-ruan; #​9489, @​dnerini; #​9512, #​9479, #​9355, #​9351, #​9289 @​chenmoneygithub; #​9488, @​bbqiu; #​9474, @​apurva-koti; #​9505, @​arpitjasa-db; #​9261, @​donour; #​9336, #​9414, #​9353, @​mberk06; #​9451, @​Bncer; #​9432, @​barrywhart; #​9347, @​GraceBrigham; #​9428, #​9420, #​9406, @​WeichenXu123; #​9410, @​aloahPGF; #​9396, #​9384, #​9372, @​Godwin-T; #​9373, @​fabiansefranek; #​9382, @​Sai-Suraj-27; #​9378, @​saidattu2003; #​9375, @​Increshi; #​9358, @​smurching; #​9366, #​9330, @​Dev-98; #​9364, @​Sandeep1005; #​9349, #​9348, @​AmirAflak; #​9308, @​danilopeixoto; #​9596, @​ShorthillsAI; #​9567, @​Beramos; #​9524, @​rabah-khalek; #​9312, @​dependabot[bot]

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