def test(self):
if self.type=='linear':
self.predicted_Digits = self.model.predict(self.X_test)
else:
mat_test = np.zeros((self.testing_size, self.training_size))
for i in range(self.testing_size):
for j in range(self.training_size):
mat_test[i][j]= my_kernel(self.X_test[i], self.X_train[j], 0)
self.predicted_Digits = self.model.predict(mat_test)
error_index = 0
for elem1, elem2 in zip(self.predicted_Digits, self.actual_Digits):
if elem1 == elem2:
self.accuracy += 1
else:
self.error_indices.append(error_index)
error_index += 1
self.accuracy *= 100. / self.testing_size
self.error_rate = 100 -self.accuracy
print "Error Rate for " + self.type + " model : " + str(self.error_rate) + "%"
print 50*'-'
def test(self):
if self.type == 'linear':
self.predicted_Digits = self.model.predict(self.X_test)
else:
mat_test = np.zeros((self.testing_size, self.training_size))
for i in range(self.testing_size):
for j in range(self.training_size):
mat_test[i][j] = my_kernel(self.X_test[i], self.X_train[j],
0)
self.predicted_Digits = self.model.predict(mat_test)
error_index = 0
for elem1, elem2 in zip(self.predicted_Digits, self.actual_Digits):
if elem1 == elem2:
self.accuracy += 1
else:
self.error_indices.append(error_index)
error_index += 1
self.accuracy *= 100. / self.testing_size
self.error_rate = 100 - self.accuracy
print "Error Rate for " + self.type + " model : " + str(
self.error_rate) + "%"
print 50 * '-'
def train(self):
if self.type=='linear':
self.model.fit(self.X_train, self.y_train)
else:
self.mat_train = np.zeros((self.training_size,self.training_size))
for i in range(self.training_size):
for j in range(self.training_size):
self.mat_train[i][j]= my_kernel(self.X_train[i], self.X_train[j], 0)
self.model.fit(self.mat_train, self.y_train)
def train(self):
if self.type == 'linear':
self.model.fit(self.X_train, self.y_train)
else:
self.mat_train = np.zeros((self.training_size, self.training_size))
for i in range(self.training_size):
for j in range(self.training_size):
self.mat_train[i][j] = my_kernel(self.X_train[i],
self.X_train[j], 0)
self.model.fit(self.mat_train, self.y_train)
