s
you’re letting regression trees to learn decision function.
So basically, you're doing regression again, but you're
doing logistic regression. Instead of using a linear model
for logistic regression, we're now using this linear
combination of trees. So in other words, what we're doing is
we're applying a log loss, and we're trying to find the
regression function that has a small log loss. This f is the
decision function that we're doing. And so inside a gradient
boosting classifier, you're not actually 