WordVecs.py 文件源码

def most_similar(self, word, num_similar=5):
        idx = self._w2idx[word]
        y = list(range(self._matrix.shape[0]))
        y.pop(idx)
        most_similar = [(1,0)] * num_similar
        for i in y:
            dist = 0
            dist = cosine(self._matrix[idx], self._matrix[i])
            if dist < most_similar[-1][0]:
                most_similar.pop()
                most_similar.append((dist,i))
                most_similar = sorted(most_similar)
        most_similar = [(distance, self._idx2w[i]) for (distance, i) in most_similar]
        return most_similar