Run python3 dev/update_changelog.py --prev-version 2.1...

Signed-off-by: mlflow-automation <mlflow-automation@users.noreply.github.com>

CHANGELOG.md

@@ -1,5 +1,33 @@
 # CHANGELOG
 
+## 2.15.1 (2024-08-02)
+
+MLflow 2.15.1 includes several major features and improvements
+
+Features:
+
+- [] Add label_list in evaluator_config (#12825, @serena-ruan)
+- [Models] Avoid converting input example (#12782, @serena-ruan)
+- [] Pyfunc get raw model (#12814, @serena-ruan)
+
+Bug fixes:
+
+- [Tracking] Fix: Regression connecting to MLFlow tracking server on other Databricks workspace (#12861, @WeichenXu123)
+- [] Replace `pkg_resources` with `importlib.metadata` (#12853, @harupy)
+- [Tracking] Wrap async logging batch submit by try except (#12831, @chenmoneygithub)
+- [Tracking] Avoid creating a Run in OpenAI autologging when only tracing is enabled (#12843, @B-Step62)
+- [Tracking] Fix error handling for OpenAI autolog tracing (#12841, @B-Step62)
+- [Scoring] Fix Spark UDF permission denied issue in Databricks runtime (#12774, @WeichenXu123)
+
+Documentation updates:
+
+- [] Serving input payload doc (#12848, @serena-ruan)
+- [Docs] Update doc for Spark ML vector type (#12827, @WeichenXu123)
+
+Small bug fixes and documentation updates:
+
+#12862, #12863, #12850, #12847, #12833, #12835, #12828, #12826, #12824, #12795, @harupy; #12858, #12807, #12800, @WeichenXu123; #12851, @serena-ruan; #12794, #12779, #12836, #12844, #12823, @B-Step62; #12845, @djliden; #12820, @annzhang-db; #12803, @hcmturner
+
 ## 2.15.0 (2024-07-29)
 
 We are excited to announce the release candidate for MLflow 2.15.0. This release includes many major features and improvements!