def cli():
    '\n    Main entry point.\n\n    '
    (subjects, classes, out_dir, options_path, user_feature_paths, user_feature_type, fs_subject_dir, train_perc, num_rep_cv, positive_class, sub_group_list, feature_selection_size, num_procs, grid_search_level, classifier, feat_select_method) = parse_args()
    print('Running neuropredict {}'.format(__version__))
    prepare_and_run(subjects, classes, out_dir, options_path, user_feature_paths, user_feature_type, fs_subject_dir, train_perc, num_rep_cv, positive_class, sub_group_list, feature_selection_size, num_procs, grid_search_level, classifier, feat_select_method)
    return
Main entry point.
def cli():
    '\n    \n\n    '
    (subjects, classes, out_dir, options_path, user_feature_paths, user_feature_type, fs_subject_dir, train_perc, num_rep_cv, positive_class, sub_group_list, feature_selection_size, num_procs, grid_search_level, classifier, feat_select_method) = parse_args()
    print('Running neuropredict {}'.format(__version__))
    prepare_and_run(subjects, classes, out_dir, options_path, user_feature_paths, user_feature_type, fs_subject_dir, train_perc, num_rep_cv, positive_class, sub_group_list, feature_selection_size, num_procs, grid_search_level, classifier, feat_select_method)
    return