b4d5c80c83ec0502231ff3563fa8ac5b95717267,conceptnet5/vectors/transforms.py,,make_replacements,#,110

Before Change

            replacements[term] = index_map[indices[i]]
            average_similarity.append(scores[i])
    print(np.mean(average_similarity))
    return replacements

After Change

    for term in big_frame.index:
        if term not in small_frame.index:
            most_similar = similar_to_vec(intersected, big_frame.loc[term], limit=1)
            got = list(most_similar.index)
            if got:
                replacements[term] = got[0]
    return replacements

Instances