This package provides 2 new hooks.


This hook :

  1. manages mlflow settings at the beginning and the end of the run (run start / end).

  2. log useful informations for reproducibility as mlflow tags (including kedro Journal information and the commands used to launch the run).

  3. register the pipeline as a valid mlflow model if it is a PipelineML instance


This hook:

  1. must be used with the MlflowPipelineHook

  2. autolog nodes parameters each time the pipeline is run (with kedro run or programatically).