def parse_args():
p = DefaultHelpParser(
description='Model runner for KDD 2014 kaggle competition.')
p.add_argument(
'--model',
required=True,
dest='model_name',
action='store',
choices=models.keys(),
help='the name of the model to run'
)
p.add_argument(
'--submit',
dest='submit',
action='store_true',
help='toggle on to run for a submission'
)
args = p.parse_args()
return args
line[1],
line[2],
'{:.5f}'.format(line[3])
))
if __name__ == '__main__':
args = parse_args()
mr = ModelRunner()
model_name = args.model_name
if model_name not in models:
raise Exception('\n`{}` is not a valid model\n\nmodels:\n {}'.format(
model_name,
'\n '.join(models.keys())
))
mr.init(model_name)
# train
if not args.submit:
predictions = mr.train_model()
sname = 'output/{}-{}-{}.stats.txt'.format(
datetime.utcnow().strftime('%Y%m%d%H%M%S'),
model_name,
git_hash
)
stats = mr.stats(predictions)
print('')
for line in stats:
print(line)
