Predicting probability

Question

Trying to use SVC from sklearn to do a classification problem. Given a bunch of data, and information telling me whether some subject is in a certa

Answer 1

Always set the parameters before fit.

from sklearn.svm import SVC
clf=SVC(probability=True)
clf=clf.fit(X,Y)
print clf.predict_proba(W)

Answer 2

You have to construct the SVC object with probability=True

from sklearn.svm import SVC
clf=SVC(probability=True)
clf.fit(X,Y)
print clf.predict_proba(W) #No error

Your code creates a SVC with probability estimates and discards it (as you do not store it in any variable) and use some previous SVC stored in clf (without probability)