if __name__ == '__main__':
'''
Train and test neural network.
'''
# Load data.
path_weights = "resources/nn_weights_reduced.bin"
path_train = "resources/crimes_training_ones.bin"
# path_train = "resources/crimes_samples_training.bin"
path_tests = "resources/crimes_testing_ones.bin"
# path_tests = "resources/crimes_samples_testing.bin"
print "Normalizing train"
crime_train = CrimeData(path_train)
crime_train.data[:, 22:24], mean_x_y, std_x_y = z_norm_by_feature(
crime_train.data[:, 22:24])
crime_train.data[:, 1:5], mean_time, std_time = z_norm_by_feature(
crime_train.data[:, 1:5])
crime_train.data = np.hstack(
(crime_train.data[:, 0:12], crime_train.data[:, 22:24]))
print "Normalizing test"
crime_test = CrimeData(path_tests)
crime_test.data[:, 22:24] = z_norm_by_feature(crime_test.data[:, 22:24],
mean_x_y, std_x_y)
crime_test.data[:, 1:5] = z_norm_by_feature(crime_test.data[:, 1:5],
mean_time, std_time)
crime_test.data = np.hstack(
(crime_test.data[:, 0:12], crime_test.data[:, 22:24]))