word_vectors.py 文件源码

def vectorize_words(self, words):
        vectors = []
        for word in words:
            vector = self._word_vector_of.get(word)
            vectors.append(vector)

        num_unknowns = len(filter(lambda x: x is None, vectors))
        inits = self._initializer(shape=(num_unknowns, self._embedding_size))
        inits = K.get_session().run(inits)
        inits = iter(inits)
        for i in range(len(vectors)):
            if vectors[i] is None:
                vectors[i] = next(inits)

        return np.array(vectors)