Some remarks about your comment: - ``kedro-mlflow`` does not use ``mlflow.autolog()``, so I don't know what you are doint but it is not related to the plugin. Where did you add this command? inside a node? Inside a hook? - I've seen the repo, but I have no idea of what you are doing with it (what did you modify? what pipeline are you running? what lines of the code are you referring to?) so I'll need more details to be more helpful In general, mlflow logs everythin inside the same run. In pseudo code, if you are tuning several models and you want to store the informations in different runs you can do:

python
mlflow.autolog()
for hyperparams in hyperparams_candidates:
  with mlflow.start_run(nested=True):
   model.train(**hyperparams)

which will create sub runs inside main one. Is it what you want?