[0.11.5] - 2022-12-12
Added
- ✨ Added an extra
server.mlflow_registry_uri
key inmlflow.yml
to set the mlflow registry uri. (#260) - ✨ Add support for authorization with expiring tokens by adding an extra
server.request_header_provider
entry inmlflow.yml
(#357)
Fixed
- 🐛
MlflowArtifactDataSet.load()
now correctly loads the artifact when bothartifact_path
andrun_id
arguments are specified. Previous fix in0.11.4
did not work because when the file already exist locally, mlflow did not download it again so tests were incorrectly passing (#362)
Removed
- 🔥 💥 Remove
reload_kedro_mlflow
line magic for notebook because kedro will deprecate the entrypoint in 0.18.3. It is still possible to access the mlflow client associated to the configuration in a notebook withcontext.mlflow.server._mlflow_client
(#349). This is not considered as a breaking change since apparently no one uses it according to a discussion with kedro's team.
�