def test():
'''
Test the hybrid model
Obtain predictions of both HMMs - use this to obtain the one with maximum probability
'''
test_data = train_input + test_input
predicted_outputs = []
for i in range(len(test_data)):
m1 = M1.forward(tuple(test_data[i]))
m2 = M2.forward(tuple(test_data[i]))
predicted = max_index([m1,m2])-1
predicted_outputs.append(predicted)
return predicted_outputs
