Hyperopt是一个python库，结合MongoDB可以进行分布式调参，快速找到相对较优的参数。底层逻辑是通过贝叶斯优化来调整参数。具体的好处参考国外一篇论文：

http://www.coxlab.org/pdfs/2013_bergstra_hyperopt.pdf

Reproducibile research

Hyperopt formalizes the practice of model evaluation, so that benchmarking experiments can bereproduced at later dates, and by different people.

Empowering users

Learning algorithm designers can deliver flexiblefully-configurable implementations to non-experts(e.g. deep learning systems), so long as they also provide a corresponding Hyperopt driver.

Designing better algorithms

As algorithm designers, we appreciate Hyperopt’s capacity to find successful configurations that we might not have considered.

Fuzz testing

As algorithm designers, we appreciate Hyperopt’s capacity to find failure modes via configurations that we had not considered