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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