CalibratedClassifierCV in conjunction with SVC and multiclass results in index out of bounds error #4634
Description
Reported this on StackOverflow:
http://stackoverflow.com/questions/29873981/error-with-sklearn-calibratedclassifiercv-and-svm
kf = StratifiedShuffleSplit(y, n_iter=1, test_size=0.2)
clf = svm.SVC(C=1,probability=True)
sig_clf = CalibratedClassifierCV(clf, method="isotonic", cv=kf)
sig_clf.fit(X, y)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/g/anaconda/lib/python2.7/site-packages/sklearn/calibration.py", line 166, in fit
calibrated_classifier.fit(X[test], y[test])
File "/home/g/anaconda/lib/python2.7/site-packages/sklearn/calibration.py", line 309, in fit
calibrator.fit(this_df, Y[:, k], sample_weight)
IndexError: index 9 is out of bounds for axis 1 with size 9
This is not an issue with any other classifiers I have used, including RandomForestClassifier and LogisticRegression.