How to use the ramp-engine.ramp_engine.aws.api.HOOK_START_TRAINING function in ramp-engine

"""
    Train a submission on a ready ec2 instance
    the steps followed by this function are the following:
        1) upload the submission code to the instance
        2) launch training in a screen
        3) wait until training is finished
        4) download the predictions
        5) download th log
        6) set the predictions in the database
        7) score the submission
    """
    conf_aws = config[AWS_CONFIG_SECTION]
    upload_submission(conf_aws, instance_id, submission_id)
    launch_train(conf_aws, instance_id, submission_id)
    set_submission_state(config, submission_id, 'training')
    _run_hook(config, HOOK_START_TRAINING, submission_id)
    _wait_until_train_finished(conf_aws, instance_id, submission_id)
    download_log(conf_aws, instance_id, submission_id)

    label = _get_submission_label_by_id(config, submission_id)
    submission = get_submission_by_id(config, submission_id)
    actual_nb_folds = get_event_nb_folds(config, submission.event.name)
    if _training_successful(conf_aws, instance_id, submission_id,
                            actual_nb_folds):
        logger.info('Training of "{}" was successful'.format(
            label, instance_id))
        if conf_aws[MEMORY_PROFILING_FIELD]:
            logger.info('Download max ram usage info of "{}"'.format(label))
            download_mprof_data(conf_aws, instance_id, submission_id)
            max_ram = _get_submission_max_ram(conf_aws, submission_id)
            logger.info('Max ram usage of "{}": {}MB'.format(label, max_ram))
            set_submission_max_ram(config, submission_id, max_ram)

conf_aws, instance_id, submission_name, submissions_dir)
                if exit_status != 0:
                    logger.error(
                        'Cannot upload submission "{}"'
                        ', an error occured'.format(label))
                    continue
                # start training HERE
                exit_status = launch_train(
                    conf_aws, instance_id, submission_name)
                if exit_status != 0:
                    logger.error(
                        'Cannot start training of submission "{}"'
                        ', an error occured.'.format(label))
                    continue
                set_submission_state(config, submission_id, 'training')
                _run_hook(config, HOOK_START_TRAINING, submission_id)

            elif state == 'training':
                # in any case (successful training or not)
                # download the log
                download_log(conf_aws, instance_id, submission_name)
                if _training_finished(conf_aws, instance_id, submission_name):
                    logger.info(
                        'Training of "{}" finished, checking '
                        'if successful or not...'.format(label))
                    submission = get_submission_by_id(config, submission_id)
                    actual_nb_folds = get_event_nb_folds(
                        config, submission.event.name
                    )
                    if _training_successful(
                            conf_aws,
                            instance_id,