def wsp_similarity(cls, start: WSP, end: WSP):
total_vector = np.zeros(shape=(300, ), dtype=np.float32)
for word in start.onyms:
if Word2Vec.contains(word):
total_vector = np.add(Word2Vec.vector(word), total_vector)
Word2Vec.add_vector(start.name, total_vector)
return Word2Vec.similarity(start.name, end.word)
def distance(cls, start: str, end: str):
return Word2Vec.similarity(start, end)
