How to use the brickschema.brickschema.inference.TagInferenceSession function in brickschema

# We want to find the tag set(s) who has the fewest tags over what was
        # provided
        min_difference = min(map(lambda x: len(x[1].difference(s)),
                                 candidates))
        most_likely = list(filter(lambda x:
                                  len(x[1].difference(s)) == min_difference,
                                  candidates))

        leftover = s.difference(most_likely[0][1])
        most_likely_classes = [list(x[0])[0] for x in most_likely]
        # return most likely classes (list) and leftover tags
        # (what of 'orig_s' wasn't used)
        return most_likely_classes, leftover


class HaystackInferenceSession(TagInferenceSession):
    """
    Wraps TagInferenceSession to provide inference of a Brick model
    from a Haystack model. The haystack model is expected to be encoded
    as a dictionary with the keys "cols" and "rows"; I believe this is
    a standard Haystack JSON export.
    TODO: double check this
    """

    def __init__(self, namespace):
        """
        Creates a new HaystackInferenceSession that infers entities into
        the given namespace

        Args:
            namespace (str): namespace into which the inferred Brick entities
                             are deposited. Should be a valid URI