role of feature_list argument in MLflow set_core_metadata function

Hi,

Can you please explain the purpose of the "feature_list" argument inside set_core_metadata function? The documentation doesn't go in details on how the metadata attached to dss saved model gets used https://doc.dataiku.com/dss/latest/python-api/ml.html#dataikuapi.dss.savedmodel.MLFlowVersionHandler

will the feature_list be used in selecting the appropriate features when evaluating a MLflow imported model on a dataset? it doesn't look like its being used though.

Thanks.

Operating system used: Linux