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#!/usr/bin/env python
# Do *not* edit this script. Changes will be discarded so that we can train the models consistently.
# This file contains functions for training models for the Challenge. You can run it as follows:
#   python train_model.py data model
# where 'data' is a folder containing the Challenge data and 'model' is a folder for saving your model.
from helper_code import is_integer
from team_code import train_challenge_model
if __name__ == '__main__':
    # Parse the arguments.
    if not (len(sys.argv) == 3 or len(sys.argv) == 4):
        raise Exception('Include the data and model folders as arguments, e.g., python train_model.py data model.')
    # Define the data and model foldes.
    data_folder = sys.argv[1]
    model_folder = sys.argv[2]
    # Change the level of verbosity; helpful for debugging.
    if len(sys.argv)==4 and is_integer(sys.argv[3]):
        verbose = int(sys.argv[3])
        verbose = 1
    train_challenge_model(data_folder, model_folder, verbose) ### Teams: Implement this function!!!

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