daniel servén

hi @maorn! im sorry that it didnt work for you, but it gives me an excuse to add another feature to the library :) unfortunately the current GAM optimization algorithm...

@maorn that would be very helpful. the algorithm for fitting GAMs on big datasets isn't exactly the one i mentioned above, but it is very similar, and could be easily...

@maorn ok i've just written a parallel-izable version of the incremental optimization https://github.com/dswah/pyGAM/blob/bam/pygam/pygam.py#L1213 it would be great to hack on this with you!

@csaiedu no, there is no support for that class of model, yet. However, it looks like it would be possible to represent e Cox Proportional Hazards model in the GLM...

hi @iaindinw thanks for the bug report! i think pyGAM should be able to process simple dataframes, so this is annoying. hopefully i can take a look this week! PS...

@owlas agreed. it would be great to have some automatic feature selection. i only just skimmed this paper, and it looks very cool. like you suggested, it seems that the...

@TimZaragori ahh good catch, that is annoying! I'm not sure why `gridsearch()` is more picky than `fit()` about the dimensionality of `X`. For now, you can add another dimension to...

@arose13 That's a good point! Have you worked with any bayesian-optimization libraries? Would you know how we could get pyGAM to be compatible with with some common APIs? actually the...

Ah wow this is a weird case indeed! But at first glance it seems to me that the model has produced a good representation of the data. [1] Can you...

Hi @ilkot Indeed, i also suspect that differences in the model specification could be the main cause of the discrepancies. I am not very familiar with the MGCV syntax but...