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.