me too - on the other hand, gbm uses the other formulation (as do all
gradient boosting figures in ESLII)

2013/1/26 Chris Beaumont <notifications@github.com>

> In sklearn/ensemble/gradient_boosting.py:
>
> > @@ -340,14 +340,22 @@ def __call__(self, y, pred):
> >          """Compute the deviance (= negative log-likelihood). """
>
> Wikipedia notes this inconsistency:
> http://en.wikipedia.org/wiki/Deviance_(statistics). Of course, it doesn't
> *really* matter since both have the same minimizer. Personally, I would
> lose the 2, since the likelihood is a more standard and familiar term.
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/scikit-learn/scikit-learn/pull/1627/files#r2785098>.
>
>



-- 
Peter Prettenhofer