modelAPI.py 文件源码

def score_reviews(model):
    reviews = []

    processes = []
    num = 1.0
    while num <= 5.0:
        processes.append({
            'string_score': str(num).replace('.', '_'),
            'score': num,
            'model': model
        })
        num += 0.5

    pool = Pool(8)
    for result in pool.imap(run_computation, processes):
        reviews.extend(result)
    pool.close()
    pool.join()

    # sort reviews from best to worst
    reviews.sort(key=get_second, reverse=True)
    reviews.sort(key=get_first, reverse=True)

    return reviews