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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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