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#!/usr/bin/env python
# Please do *not* edit this script. We will discard any changes so that we can train the models consistently.
# This file contains functions for training your model for the Challenge. You can run it as follows:
#   python train_model.py -d data -m model -v
# where 'data' is a folder containing the Challenge data, 'model' is a folder for saving your model, and -v is an optional verbosity
import argparse
from helper_code import *
from team_code import train_model
# Parse arguments.
def get_parser():
    description = 'Train the Challenge model.'
    parser = argparse.ArgumentParser(description=description)
    parser.add_argument('-d', '--data_folder', type=str, required=True)
    parser.add_argument('-m', '--model_folder', type=str, required=True)
    parser.add_argument('-v', '--verbose', action='store_true')
    return parser
# Run the code.
def run(args):
    train_model(args.data_folder, args.model_folder, args.verbose) ### Teams: Implement this function!!!
if __name__ == '__main__':
    run(get_parser().parse_args(sys.argv[1:]))

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