Does anyone can help me?
Thanks.
On Wed, Oct 26, 2016 at 10:42 AM, 颜发才(Yan Facai) <[email protected]> wrote:
> Hi,
> which paper or book is the foundation of the implementation of
> `gradient_boost.py:BinomialDeviance`?
>
> I recently read the paper: Friedman: greedy function approximation - a
> gradient boosting machine. I believe that L2_TreeBoost in the paper should
> be equivalent to BinomialDeviance in scikit-learn, while their
> implementation are different, for example:
>
> + negative_gradient:
> - in scikit: \tilde{y} = y - expit(pred.ravel())
> = y - \frac{1}{1 + exp(- F)}
> - in paper: \tilde{y} = \frac{2 y}{1 + exp(2yF)}
>
> Does anyone can help me?
> Thanks.
>
_______________________________________________
scikit-learn mailing list
[email protected]
https://mail.python.org/mailman/listinfo/scikit-learn
