MLflow 2.21.1 Release

[Ben Wilson]

Hi Everyone!

Just wanted to let everyone know that we just released an MLflow patch.

MLflow 2.21.1 includes a few bug fixes and some additional exciting features for DSPy users!

Features:

• Introduce support for logging evaluations within DSPy (#14962, @TomeHirata)
• Add support for run creation when DSPy compile is executed (#14949, @TomeHirata)
• Add support for building a SageMaker serving container that does not contain Java via the --install-java option (#14868, @rgangopadhya)

Bug fixes:

• Fix an issue with trace ordering due to a timestamp conversion timezone bug (#15094, @orm011)
• Fix a typo in the environment variable OTEL_EXPORTER_OTLP_PROTOCOL definition (#15008, @gabrielfu)
• Fix an issue in shared and serverless clusters on Databricks when logging Spark Datasources when using the evaluate API (#15077, @WeichenXu123)
• Fix a rendering issue with displaying images from within the metric tab in the UI (#15034, @TomeHirata)

Documentation updates:

• Add additional contextual information within the set_retriever_schema API docs (#15099, @smurching)

For a comprehensive list of changes, see the release change log, and check out the latest documentation on mlflow.org.