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MLflow 2.21.1

· One min read
MLflow maintainers

MLflow 2.21.1 is a patch release that introduces minor features and addresses some minor bugs.

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.