cvxopt: Trying to find the best C (regularization parameter)

Question

I'm trying to run a loop that finds the best C (regularization parameter),

 for C in range(1, 10):
    clf = SVM(Kernel.linear(), C)
    clf.fit(X['train'], y['train'].astype('double'))
    print("C = ", C)
    y_hat = clf.predict(X['train'])
    print("Acc on train: ", np.mean(y_hat == y['train']))
    y_hat = clf.predict(X['val'])
    print("Acc on val: ", np.mean(y_hat == y['val']))

however this is the error I am running into:

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_23924\635205938.py in <module>
      3    clf.fit(X['train'], y['train'].astype('double'))
      4    print("C = ", C)
----> 5    y_hat = clf.predict(X['train'])
      6    print("Acc on train: ", np.mean(y_hat == y['train']))
      7    y_hat = clf.predict(X['val'])

~\AppData\Local\Temp\ipykernel_23924\270836144.py in predict(self, X)
     51 
     52         for i in range(0, N):
---> 53             result[i] = np.sum(self._weights[i] * self._support_vector_labels[i] * self._kernel(self._support_vectors[i], X[i])) + self._bias
     54 
     55         return np.sign(result)

IndexError: index 1268 is out of bounds for axis 0 with size 1268

I tested out the code on a sample data set where X was 10x2 and it worked fine. This dataset is X:2775x1464, and y is 2775.