mlflow 1.10.0

MLflow 1.10.0

on Python PyPI

We are happy to announce the availability of MLflow 1.10.0!

In addition to bug and documentation fixes, MLflow 1.10.0 includes the following features and improvements:

Features:

• MlflowClient.transition_model_version_stage now supports an
  archive_existing_versions argument for archiving existing staging or production model
  versions when transitioning a new model version to staging or production (#3095, @harupy)
• Added set_registry_uri, get_registry_uri APIs. Setting the model registry URI causes
  fluent APIs like mlflow.register_model to communicate with the model registry at the specified
  URI (#3072, @sueann)
• Added paginated MlflowClient.search_registered_models API (#2939, #3023, #3027 @ankitmathur-db; #2966, @mparkhe)
• Added syntax highlighting when viewing text files (YAML etc) in the MLflow runs UI (#3041, @harupy)

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