This extension adds operators to use MLFlow for experiment tracking and model registration to the platfrom.
Broadly speaking the extension covers two use cases:

Track your experiments.
While building models you try a lot of combinations of models and preprocessing. Often you want to track them to see whats good. The extension provides operators to use a MLFlow server to do this. Namely:
- Create Experiment
- Create Run
- Delete Experiment
- Delete Run
- Get Runs
- Get Run
- Get Experiment
- Log Run
The central operator is Log Run.

Track your deployments.
The second use case is to maintain deployed models. MLFlow offers a Model Registry. This extension allows you to use models from a worklflow within the model registry.
The operators are:
- Create Model
- Create Model Version
- Retrieve Model
- Transition State
- Get Model Information

For questions please consult community.rapidminer.com or our professional support.

--- Version 1.2.0 ---

• Added an option to give a run a custom name in Create Run 
• Added a parameter to Log Run to allow the user to log custom parameters
• Log Run is now always logging the operator name as well as a parameter, if a parameter list is connected

--- Version 1.1.0 ---

•  Added an option to get more logging for all operators. You can activate it in the settings.
•  Added a global time_out to the settings for all the HTTP requests. Set this to 60sec as default.

--- Version 1.0.5 ---

•  Minor fix which fixes a bug that performances not coming from a validation operator are not loggable.