I have created the first version of the binary classification and have been testing to extend it to more categories from the multinom() family but have not been able to. I think we should open an issue in parsnip to see how we can make that kind of structures pass through parsnip::fit().
Example:
mpg <- ggplot2::mpg
mpg$cyl <- as.numeric(as.factor(mpg$cyl))-1
mgcv::gam(list(cyl ~ s(cty), ~ s(cty), ~s(cty)),
family = multinom(K=3),
data = mpg)
I have also put some tests for both regression and classification and I have added in the description in suggestions the stats package, as it is the one that contains many of the families that will be used for modeling.
Hi @mdancho84 ,
I have created the first version of the binary classification and have been testing to extend it to more categories from the
multinom()family but have not been able to. I think we should open an issue in parsnip to see how we can make that kind of structures pass through parsnip::fit().Example:
I have also put some tests for both regression and classification and I have added in the description in suggestions the stats package, as it is the one that contains many of the families that will be used for modeling.