title: Kedro-mlflow usage - when to use it from notebooks, and when from kedro pipeline?
body: <p>I'm a bit confused - what is the common practice for kedro-mlflow usage? It's seems slightly uncomfortable to use it only from kedro pipelines, but kedro intention is fully reproducible research.</p>
  <p>At the same time rather rare tutorials on kedro-mlflow usage describe experiments creation from Jupiter notebooks, which seems natural, but then full reproducibility without the full pipeline is broken.</p>
  <p>Question - what are common patterns on kedro-mlflow usage, as well as subexperiments creation (in scope of CrossValidation or HyperOptimisation)? When kedro pipelines should be used, and when code (and which code) should be placed in notebooks?</p>