Family in glmnet is always gaussian
mirka-henninger opened this issue · comments
When applying LIME to simulated data with a binary outcome, LIME results do not always match the data generating process. This arises because the family
argument in the call to glmnet
is set to gaussian
by default and does not reflect the model type (classification versus regression). See e.g.,
Line 48 in 0281c56
and
Line 56 in 0281c56
I was wondering whether this is intentional/documented somewhere? As one possible fix, one could add a family
argument to the model_permutations
function that then can be used in the glm.fit
and glmnet
function calls. If you'd be willing to add a corresponding PR, I could prepare one.