def main():
if len(sys.argv) != 3:
print "Usage:", sys.argv[0], "<train_data_file> <test_data_file>"
exit(1)
train_data_file = sys.argv[1]
verify_file_exists(train_data_file)
test_data_file = sys.argv[2]
verify_file_exists(test_data_file)
train_data_list = read_data_file(train_data_file, lambda x: int(x))
mean = float(sum(train_data_list)) / len(train_data_list)
test_data_list = read_data_file(test_data_file, lambda x: int(x))
max_elem = max_pois_elem(mean)
print '\n'.join(map(lambda elem: str(log_principal_anomaly(elem, mean, max_elem)), test_data_list))
def main():
if len(sys.argv) != 3:
print "Usage:", sys.argv[0], "<train_data_file> <test_data_file>"
exit(1)
train_data_file = sys.argv[1]
verify_file_exists(train_data_file)
test_data_file = sys.argv[2]
verify_file_exists(test_data_file)
train_data_list = read_data_file(train_data_file, lambda x: float(x))
N = len(train_data_list)
Q = reduce(lambda acc, x: acc + pow(x, 2), train_data_list)
S = sum(train_data_list)
test_data_list = read_data_file(test_data_file, lambda x: float(x))
print '\n'.join(map(lambda elem: str(log_principal_anomaly(elem, N, Q, S)), test_data_list))