Train the model in ``model_folder``.

def train_model(model_folder):
    """Train the model in ``model_folder``."""
    os.chdir(model_folder)
    training = generate_training_command(model_folder)
    if training is None:
        return -1
    logging.info(training)
    os.chdir(model_folder)
    os.system(training)