def fit(self,X,Y):
global le
le=LabelEncoder()
le.fit(Y)
Y=le.transform(Y)
data=self.generateClasswiseData(X,Y)
svc=MySVM.SVC(self.C)
for i in range(len(data)):
self.svm_classifiers[i]={}
for j in range(i+1,len(np.unique(Y))):
x,y=self.getPairData(data[i],data[j])
wts,b,losses=svc.fit(x,y, learning_rate=self.learning_rate, max_itr=self.max_iter)
self.svm_classifiers[i][j]=(wts,b)
