Function deep_reduce

bmtools/tools/meta_analysis/api.py:201–212

(item)

    fw.close()

def deep_reduce(item):
    tag = 0
    item_emb = get_embedding(item.lower())
    sims = []
    for stan in stan_emb:
        sims.append(dot(stan, np.array(item_emb))/(norm(stan)*norm(np.array(item_emb))+1e-5))
    sims = np.array(sims)
    sr = np.argmax(sims)
    if sims[sr]>0.85:
        item = standard[sr]
        tag = 1
    return item, tag

def convert(table0):
    dic = {}