def run_test(self, X, y, kernel):
n = int(X.shape[0] * 0.8)
K = self.gram_matrix(X, kernel)
svm = SVM(kernel, 1.0, K)
svm.fit(np.arange(n), y[:n])
score = svm.score(np.arange(n, X.shape[0]), y[n:])
return score
def run_test(self, X, y, kernel):
n = int(X.shape[0] * 0.8)
K = self.gram_matrix(X, kernel)
svm = SVM(kernel, 1.0, K)
svm.fit(np.arange(n), y[:n])
score = svm.score(np.arange(n, X.shape[0]), y[n:])
return score