On Sun, Dec 2, 2018 at 2:05 PM Michael Duncan <[email protected]> wrote:
> can any moses gurus comment on using the diversity scoring options? for > some bioinformatics work we are more interested in evolving a minimal > ensemble of models to maximally represent the patterns distinguishing two > sample sets rather than just maximizing out of sample prediction accuracy. > in other words, we want to maximize the number of unique features in a > model ensemble of a given size and accuracy. more generally, are there > procedures for choosing optimal ensemble models beyond combining the top n > models from different cross-validation runs? > Wow. At one point, I wanted to add something like that as a feature: Namely, when keeping a deme (ensemble) of some finite size, I wanted it to be as diverse as possible (while still having acceptable fitness). I was excited, ready to implement this, but could not quite figure out a good way of measuring how "different" two models were. What constitutes diversity, and how do you measure it? Without that, I couldn't move forward. --linas -- cassette tapes - analog TV - film cameras - you -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/opencog. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CAHrUA36wzOpVFiqqqY0GdfAvH9hPB0PQgS-TZQ2A%2BRcvJb15Pw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
