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推荐一篇博客,作者介绍在 DS 项目中写测试。毕竟 ML 的项目测试起来和传统的程序不是太一样,除了最基础的 assert, pytest 这些之外对数据的分布和数据一些统计指标也需要做测试。文中提到的几个工具 HypothesisPandera 我都是用过的,Pandera 很好用,也可以原生集成给 Pandas/Koalas(Koalas 也是我配合 PySpark 最常用的 DataFrame 工具)。https://www.peterbaumgartner.com/blog/testing-for-data-science/



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推荐一篇博客,作者介绍在 DS 项目中写测试。毕竟 ML 的项目测试起来和传统的程序不是太一样,除了最基础的 assert, pytest 这些之外对数据的分布和数据一些统计指标也需要做测试。文中提到的几个工具 HypothesisPandera 我都是用过的,Pandera 很好用,也可以原生集成给 Pandas/Koalas(Koalas 也是我配合 PySpark 最常用的 DataFrame 工具)。https://www.peterbaumgartner.com/blog/testing-for-data-science/

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Traders also expressed uncertainty about the situation with China Evergrande, as the indebted property company has not provided clarification about a key interest payment.In economic news, the Commerce Department reported an unexpected increase in U.S. new home sales in August.Crude oil prices climbed Friday and front-month WTI oil futures contracts saw gains for a fifth straight week amid tighter supplies. West Texas Intermediate Crude oil futures for November rose $0.68 or 0.9 percent at 73.98 a barrel. WTI Crude futures gained 2.8 percent for the week.

The S&P 500 slumped 1.8% on Monday and Tuesday, thanks to China Evergrande, the Chinese property company that looks like it is ready to default on its more-than $300 billion in debt. Cries of the next Lehman Brothers—or maybe the next Silverado?—echoed through the canyons of Wall Street as investors prepared for the worst.

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