def main(args):
dm = DataModel(args.train_file)
dm.read_train_data()
exp = Experimenter(dm)
distances = [x.get_distance() for x in dm.data]
print(max(distances))
print(min(distances))
print(stats.mean(distances))
t1 = time.time()
t2 = time.time()
timeused = t2 - t1
logging.getLogger(LOGGER).info('Time used in experiment (hour:min:sec): %d:%d:%d' % \
(timeused/3600, timeused/60, timeused%60))
return exp
