Done! Updated to last commit, and tried again. I still get the same error
message.

regards
shankar.


On Thu, Jul 19, 2012 at 3:53 PM, Gilles Louppe <[email protected]> wrote:

> Can you try updating your version then to the latest commit and then
> check if this still happens? The tree module has been updated very
> recently (yesterday).
>
> Gilles
>
> On 19 July 2012 09:34, Shankar Satish <[email protected]> wrote:
> > Hi Gilles,
> >
> > I'm using 0.12.
> >
> > regards
> > shankar.
> >
> >
> >
> > On Thu, Jul 19, 2012 at 3:28 PM, Gilles Louppe <[email protected]>
> wrote:
> >>
> >> Hi,
> >>
> >> What version of scikit-learn are you using? 0.11 or dev?
> >>
> >> Best,
> >>
> >> Gilles
> >>
> >> On 19 July 2012 06:34, Shankar Satish <[email protected]> wrote:
> >> > Hello everyone,
> >> >
> >> > I have a custom prediction class which in fact consists of a random
> >> > forest
> >> > regressor+classifier. The class implements a fit() method, which in
> turn
> >> > calls the fit() methods of the classifier and regressor. Here is the
> >> > code
> >> > for my class: http://paste.org/51862
> >> >
> >> > When i use the class as such:
> >> >
> >> > import HierarchicalRegressor as HR
> >> > hr=HR.HierarchicalRegressor()
> >> > hr.fit(X_train, Y_train)
> >> >
> >> > I get an error message. Here is a clip from the error traceback:
> >> >
> >> >
> >> >
> /usr/local/bin/EPDpython/lib/python2.7/site-packages/scikit_learn-0.12_git-py2.7-linux-i686.egg/sklearn/tree/tree.pyc
> >> > in fit(self, X, y, sample_mask, X_argsorted)
> >> >     468             self.classes_ = np.unique(y)
> >> >     469             self.n_classes_ = self.classes_.shape[0]
> >> > --> 470             criterion =
> >> > CLASSIFICATION[self.criterion](self.n_classes_)
> >> >     471             y = np.searchsorted(self.classes_, y)
> >> >     472
> >> >
> >> > KeyError: None
> >> >
> >> > The full error traceback is here: http://paste.org/51864
> >> >
> >> > X consists of values between 0 and 1.0. Y consists of values between
> 0.0
> >> > and
> >> > 1.0 or -1.0.
> >> >
> >> > Any pointers are much appreciated! Thank you:)
> >> >
> >> > regards
> >> > shankar.
> >> >
> >> >
> >> >
> >> >
> >> >
> >> >
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