Hooks

This package provides 2 new hooks.

MlflowPipelineHook

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

MlflowNodeHook

This hook:

1. must be used with the MlflowPipelineHook

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