Question Regarding Genetic Feature Selection

Is there a simple/built-in method of ensuring that if you extract 2+ subsets from the same dataset (using Genetic Feature Selection), that the features found in the first subset are not found in another subset? I.e., Obtain a series of series of subsets that are "symmetrically different" mathematically.

I'm wondering since I want to have each subset have it's own 'branch' before coming all together and the presence of duplicated features makes understanding the 'feature importance' more difficult. Just asking to ensure I'm not coding for something that exists but I couldn't find it.

No files, tests, or entry points are named. Start by checking TPOT documentation and the existing genetic feature-selection behavior, then determine whether disjoint subsets are already supported; done should be a clear answer or a scoped feature proposal.

Written by the indexing model from the issue text.