4d8cca40654deb641809bf8fb376afd9b1633d52,nlp_architect/data/cdc_resources/gen_scripts/create_word_embed_glove_dump.py,,load_glove_for_vocab,#Any#Any#,39

Before Change

def load_glove_for_vocab(glove_filename, vocabulary):
    vocab = []
    embd = []
    glove_file = open(glove_filename, "r")
    for line in glove_file.readlines():
        row = line.strip().split(" ")
        word = row[0]
        if word in vocabulary:

After Change

    logger.info("Loaded GloVe!")

    embeddings = np.asarray(embd, dtype=float)
    word_to_ix = {word: i for i, word in enumerate(vocab)}
    return word_to_ix, embeddings


def glove_dump():

Instances