We are happy to announce the availability of MLflow 1.8.0!

In addition to bug and documentation fixes, MLflow 1.8.0 includes the following major features and improvements:

  • Added mlflow.azureml.deploy API for deploying MLflow models to AzureML (#2375 @csteegz, #2711, @akshaya-a)
  • Added mlflow.spacy module with support for logging and loading spaCy models (#2242, @arocketman)
  • Added ability to compare source runs associated with model versions from the registered model UI (#2537, @juntai-zheng)
  • MLflow metrics UI plots now scale to rendering thousands of points using scattergl (#2447, @mjlbach)

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