def get_closest_concept_tagsim(self, object_data):
""" returns the tag and similarity of the closest concept to the given stimulus
"""
similarities = []
for i in self.concepts:
similarities.append(auks.calculate_similarity(object_data, i.get_data(), cfg.sensitivity))
max_pos = auks.posMax(similarities)
return (self.concepts[max_pos].tag, similarities[max_pos])
def get_distance(self, object_data):
""" returns the distance of all concepts in cs to given stimulus
"""
domain_tags = []
for j in object_data:
similarities = []
for i in self.concepts:
similarities.append([i.tag, auks.calculate_similarity(object_data, i.get_data(), cfg.sensitivity)])
domain_tags.append(similarities)
return domain_tags
