How to use the rsmtool.configuration_parser.configure function in rsmtool

ValueError
        If any of the required fields are missing or ill-specified.
    """
    logger = logging.getLogger(__name__)

    # create the 'output' and the 'figure' sub-directories
    # where all the experiment output such as the CSV files
    # and the box plots will be saved
    csvdir = abspath(join(output_dir, 'output'))
    figdir = abspath(join(output_dir, 'figure'))
    reportdir = abspath(join(output_dir, 'report'))
    os.makedirs(csvdir, exist_ok=True)
    os.makedirs(figdir, exist_ok=True)
    os.makedirs(reportdir, exist_ok=True)

    configuration = configure('rsmeval', config_file_or_obj_or_dict)

    logger.info('Saving configuration file.')
    configuration.save(output_dir)

    # Get output format
    file_format = configuration.get('file_format', 'csv')

    # Get DataWriter object
    writer = DataWriter(configuration['experiment_id'])

    # Make sure prediction file can be located
    if not DataReader.locate_files(configuration['predictions_file'],
                                   configuration.configdir):
        raise FileNotFoundError('Error: Predictions file {} '
                                'not found.\n'.format(configuration['predictions_file']))

# `overwrite_output` was specified, in which case we assume
    # that the user knows what she is doing and simply
    # output a warning saying that the report might
    # not be correct.
    non_empty_csvdir = exists(csvdir) and listdir(csvdir)
    if non_empty_csvdir:
        if not overwrite_output:
            raise IOError("'{}' already contains a non-empty 'output' "
                          "directory.".format(output_dir))
        else:
            logger.warning("{} already contains a non-empty 'output' directory. "
                           "The generated report might contain "
                           "unexpected information from a previous "
                           "experiment.".format(output_dir))

    configuration = configure('rsmsummarize', config_file_or_obj_or_dict)

    logger.info('Saving configuration file.')
    configuration.save(output_dir)

    # get the list of the experiment dirs
    experiment_dirs = configuration['experiment_dirs']

    # Get experiment names if any
    experiment_names = configuration.get('experiment_names')
    experiment_names = experiment_names if experiment_names else [None] * len(experiment_dirs)
    dirs_with_names = zip(experiment_dirs, experiment_names)

    # check the experiment dirs and assemble the list of csvdir and jsons
    all_experiments = []
    for (experiment_dir, experiment_name) in dirs_with_names:
        experiments = check_experiment_dir(experiment_dir,

# `overwrite_output` was specified, in which case we assume
    # that the user knows what she is doing and simply
    # output a warning saying that the report might
    # not be correct.
    non_empty_csvdir = exists(csvdir) and listdir(csvdir)
    if non_empty_csvdir:
        if not overwrite_output:
            raise IOError("'{}' already contains a non-empty 'output' "
                          "directory.".format(output_dir))
        else:
            logger.warning("{} already contains a non-empty 'output' directory. "
                           "The generated report might contain "
                           "unexpected information from a previous "
                           "experiment.".format(output_dir))

    configuration = configure('rsmtool', config_file_or_obj_or_dict)

    logger.info('Saving configuration file.')
    configuration.save(output_dir)

    # Get output format
    file_format = configuration.get('file_format', 'csv')

    # Get DataWriter object
    writer = DataWriter(configuration['experiment_id'])

    # Get the paths and names for the DataReader

    (file_names,
     file_paths_org) = configuration.get_names_and_paths(['train_file', 'test_file',
                                                          'features',
                                                          'feature_subset_file'],

If any of the required fields are missing or ill-specified.
    """
    logger = logging.getLogger(__name__)

    # create the 'output' and the 'figure' sub-directories
    # where all the experiment output such as the CSV files
    # and the box plots will be saved
    csvdir = abspath(join(output_dir, 'output'))
    figdir = abspath(join(output_dir, 'figure'))
    reportdir = abspath(join(output_dir, 'report'))

    os.makedirs(csvdir, exist_ok=True)
    os.makedirs(figdir, exist_ok=True)
    os.makedirs(reportdir, exist_ok=True)

    configuration = configure('rsmsummarize', config_file_or_obj_or_dict)

    logger.info('Saving configuration file.')
    configuration.save(output_dir)

    # get the list of the experiment dirs
    experiment_dirs = configuration['experiment_dirs']

    # Get experiment names if any
    experiment_names = configuration.get('experiment_names')
    experiment_names = experiment_names if experiment_names else [None] * len(experiment_dirs)
    dirs_with_names = zip(experiment_dirs, experiment_names)

    # check the experiment dirs and assemble the list of csvdir and jsons
    all_experiments = []
    for (experiment_dir, experiment_name) in dirs_with_names:
        experiments = check_experiment_dir(experiment_dir,

``Configuration`` object, relative paths will be interpreted
        relative to the ``configdir`` attribute, that _must_ be set. Given
        a dictionary, the reference path is set to the current directory.
    output_dir : str
        Path to the experiment output directory.

    Raises
    ------
    FileNotFoundError
        If either of the two input directories in ``config_file_or_obj_or_dict``
        do not exist, or if the directories do not contain rsmtool outputs at all.
    """

    logger = logging.getLogger(__name__)

    configuration = configure('rsmcompare', config_file_or_obj_or_dict)

    logger.info('Saving configuration file.')
    configuration.save(output_dir)

    # get the information about the "old" experiment
    experiment_id_old = configuration['experiment_id_old']
    experiment_dir_old = DataReader.locate_files(configuration['experiment_dir_old'],
                                                 configuration.configdir)
    if not experiment_dir_old:
        raise FileNotFoundError("The directory {} "
                                "does not exist.".format(configuration['experiment_dir_old']))

    csvdir_old = normpath(join(experiment_dir_old, 'output'))
    figdir_old = normpath(join(experiment_dir_old, 'figure'))
    if not exists(csvdir_old) or not exists(figdir_old):
        raise FileNotFoundError("The directory {} does not contain "