I am still confused about the difference, when I run the
predict_proba method with multiple rows (ndata say) in a multi-class classifier, I do get a
ndata * nclass matrix output as well.
From what I know,
softmax calculates probability distribution over a vector of values. So not sure what
softprob is doing differently.
Can someone clarify the difference? It’s probably very subtle but escapes me.