MLflow 2.15.1 is a patch release that addresses several bug fixes.

Bug fixes:

• [Tracking] Fix silent disabling of LangChain autologging for LangChain >= 0.2.10. (#12779, @B-Step62)
• [Tracking] Fix mlflow.evaluate crash on binary classification with data subset only contains single class (#12825, @serena-ruan)
• [Tracking] Fix incompatibility of MLflow Tracing with LlamaIndex >= 0.10.61 (#12890, @B-Step62)
• [Tracking] Record exceptions in OpenAI autolog tracing (#12841, @B-Step62)
• [Tracking] Fix regression of connecting to MLflow tracking server on other Databricks workspace (#12861, @WeichenXu123)
• [UI] Fix refresh button for model metrics on Experiment and Run pages (#12869, @beomsun0829)

Documentation updates:

• [Docs] Update doc for Spark ML vector type (#12827, @WeichenXu123) Small bug fixes and documentation updates:

#12823, #12860, #12844, #12843, @B-Step62; #12863, #12828, @harupy; #12845, @djliden; #12820, @annzhang-db; #12831, #12873, @chenmoneygithub