数据集预处理:对流行数据集进行预处理(目前从UCI存储库中获取)

上传者: 42143092 | 上传时间: 2022-07-02 06:37:33 | 文件大小: 56KB | 文件类型: ZIP
数据集预处理 流行数据集的预处理(目前来自UCI存储库)。 这些方法包括: 一键编码分类变量 数值变量的最小-最大缩放范围为[0,1] 生成元数据信息: 样品数 功能数量 变量类型 一键编码字典 类名 还包括用于下载数据集并使用默认参数进行预处理的脚本。 先决条件 该项目是使用python 2.7.12和以下软件包开发的: numpy == 1.15.1 scikit学习== 0.19.2 scipy == 1.1.0 仅在下载和提取压缩文件内容时才需要这样做: wget == 3.2 xlrd == 1.1.0 用pip安装: pip install -r requirements.txt

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