The plot_forest_iris check in was bad sorry. I did that whilst showing the
base_estimator problem to Olivier before running to catch my train. I'll
undo it tonight when back in London, sorry!
On 25 Aug 2013 16:36, "Gilles Louppe" <notifications@github.com> wrote:

> In examples/ensemble/plot_forest_iris.py:
>
> > @@ -66,7 +66,8 @@
> >
> >  models = [DecisionTreeClassifier(max_depth=None),
> >            RandomForestClassifier(n_estimators=n_estimators),
> > -          ExtraTreesClassifier(n_estimators=n_estimators),
> > +          ExtraTreesClassifier(base_estimator=DecisionTreeClassifier(max_depth=3), n_estimators=n_estimators),
>
> Also, why don't you do the same for RandomForest? I really don't see the
> point of this change :s
>
> —
> Reply to this email directly or view it on GitHub<https://github.com/glouppe/scikit-learn/pull/14/files#r5968478>
> .
>