daniel servén
daniel servén
> Can't use predict_proba with #196 example @903124 ahh good point. this is because the `predict_proba` api for pygam didnt conform to sklearn. i am making an update.
@903124 hmm thats interesting, but i dont completely understand. can you please show me an example?
@903124 thanks for the example. i see what you mean
@903124 thanks for your comments! i took a look inside, and it appears to be a complex fix. scikit-learn defers any processing of arguments until the `fix()` method is called,...
awesome!!!! just tried a dataset that crashes my notebook when no partitioning is used, but that correctly solves when the optimization is incremental!!!!!
@maorn that is really cool! to contribute your code, please do the following: - put your changes in a safe place - fork the repo, and clone your fork on...
hi @maorn! i think there are still a couple of things we need to do before we merge: - [x] a rebase of your 'parallel' branch off of this one...
@mohsenzabihi @ccurro The plan is to merge this branch into master in August. But it needs a little love right now. Specifically, i need to - adapt all remaining ocurrences...
@owlas no one is working on this :) your contribution is most welcome. please let me know if you need any help or clarification.
@owlas good point. yes, i think it is good first step to keep the dispersion parameter as a given for now.