def fit(self, _input_X, _input_y): #classif=LR( ) classif = mc(SVC(kernel='linear', probability=True)) #rbf poly sigmoid model = classif.fit(_input_X, _input_y) return model
def multiClassSVM(trained,predicted,test): svm = mc(SVC(kernel='linear', probability=True)) # for multi classes svm = svm.fit(trained,predicted) return svm.predict(test)