Sklearn 0.21 中文文档校对活动 | ApacheCN

末蓝、 2021-11-04 12:30 300阅读 0赞

整体进度：[https://github.com/apachecn/sklearn-doc-zh/issues/352][https_github.com_apachecn_sklearn-doc-zh_issues_352]

贡献指南：[https://github.com/apachecn/sklearn-doc-zh/blob/master/CONTRIBUTING.md][https_github.com_apachecn_sklearn-doc-zh_blob_master_CONTRIBUTING.md]

项目仓库：[https://github.com/apachecn/sklearn-doc-zh][https_github.com_apachecn_sklearn-doc-zh]

--------------------

# 贡献指南 #

> 请您勇敢地去翻译和改进翻译。虽然我们追求卓越，但我们并不要求您做到十全十美，因此请不要担心因为翻译上犯错——在大部分情况下，我们的服务器已经记录所有的翻译，因此您不必担心会因为您的失误遭到无法挽回的破坏。（改编自维基百科）

可能有用的链接：

*  [英文官网][Link 1]
 *  [中文翻译][Link 2]

负责人：

*  [@loopyme][loopyme]：3322728009
 *  [飞龙][Link 3]：562826179
 *  [片刻][Link 4]：529815144

## 章节列表 ##

*  [安装 scikit-learn][scikit-learn]
 *  用户指南
    
     *  [1. 监督学习][1.]
        
         *  [1.1. 广义线性模型][1.1.]
         *  [1.2. 线性和二次判别分析][1.2.]
         *  [1.3. 内核岭回归][1.3.]
         *  [1.4. 支持向量机][1.4.]
         *  [1.5. 随机梯度下降][1.5.]
         *  [1.6. 最近邻][1.6.]
         *  [1.7. 高斯过程][1.7.]
         *  [1.8. 交叉分解][1.8.]
         *  [1.9. 朴素贝叶斯][1.9.]
         *  [1.10. 决策树][1.10.]
         *  [1.11. 集成方法][1.11.]
         *  [1.12. 多类和多标签算法][1.12.]
         *  [1.13. 特征选择][1.13.]
         *  [1.14. 半监督学习][1.14.]
         *  [1.15. 等式回归][1.15.]
         *  [1.16. 概率校准][1.16.]
         *  [1.17. 神经网络模型（有监督）][1.17.]
     *  [2. 无监督学习][2.]
        
         *  [2.1. 高斯混合模型][2.1.]
         *  [2.2. 流形学习][2.2.]
         *  [2.3. 聚类][2.3.]
         *  [2.4. 双聚类][2.4.]
         *  [2.5. 分解成分中的信号（矩阵分解问题）][2.5.]
         *  [2.6. 协方差估计][2.6.]
         *  [2.7. 新奇和异常值检测][2.7.]
         *  [2.8. 密度估计][2.8.]
         *  [2.9. 神经网络模型（无监督）][2.9.]
     *  [3. 模型选择和评估][3.]
        
         *  [3.1. 交叉验证：评估估算器的表现][3.1.]
         *  [3.2. 调整估计器的超参数][3.2.]
         *  [3.3. 模型评估: 量化预测的质量][3.3. _]
         *  [3.4. 模型持久化][3.4.]
         *  [3.5. 验证曲线: 绘制分数以评估模型][3.5. _]
     *  [4. 检验][4.]
        
         *  [4.1. 部分依赖图][4.1.]
     *  [5. 数据集转换][5.]
        
         *  [5.1. Pipeline（管道）和 FeatureUnion（特征联合）: 合并的评估器][5.1. Pipeline_ FeatureUnion_]
         *  [5.2. 特征提取][5.2.]
         *  [5.3 预处理数据][5.3]
         *  [5.4 缺失值插补][5.4]
         *  [5.5. 无监督降维][5.5.]
         *  [5.6. 随机投影][5.6.]
         *  [5.7. 内核近似][5.7.]
         *  [5.8. 成对的矩阵, 类别和核函数][5.8. _]
         *  [5.9. 预测目标 (`y`) 的转换][5.9. _ _y_]
     *  [6. 数据集加载工具][6.]
        
         *  [6.1. 通用数据集 API][6.]
         *  [6.2. 玩具数据集][6.]
         *  [6.3 真实世界中的数据集][6.]
         *  [6.4. 样本生成器][6.]
         *  [6.5. 加载其他数据集][6.]
     *  [7. 使用scikit-learn计算][7. _scikit-learn]
        
         *  [7.1. 大规模计算的策略: 更大量的数据][7. _scikit-learn]
         *  [7.2. 计算性能][7. _scikit-learn]
         *  [7.3. 并行性、资源管理和配置][7. _scikit-learn]
 *  [教程][Link 5]
    
     *  [使用 scikit-learn 介绍机器学习][scikit-learn 1]
     *  [关于科学数据处理的统计学习教程][Link 6]
        
         *  [机器学习: scikit-learn 中的设置以及预估对象][scikit-learn 2]
         *  [监督学习：从高维观察预测输出变量][Link 7]
         *  [模型选择：选择估计量及其参数][Link 8]
         *  [无监督学习: 寻求数据表示][Link 9]
         *  [把它们放在一起][Link 10]
         *  [寻求帮助][Link 11]
     *  [处理文本数据][Link 12]
     *  [选择正确的评估器(estimator.md)][estimator.md]
     *  [外部资源，视频和谈话][Link 13]
 *  [API 参考][API]
 *  [常见问题][Link 14]
 *  [时光轴][Link 15]

## 流程 ##

### 一、认领 ###

首先查看[整体进度][https_github.com_apachecn_sklearn-doc-zh_issues_352]，确认没有人认领了你想认领的章节。

然后回复 ISSUE，注明“章节 + QQ 号”（一定要留 QQ）。

### 二、校对 ###

需要校对：

1.  语法
2.  术语使用
3.  文档格式

如果觉得现有翻译不好，重新翻译也是可以的。

### 三、提交 ###

**提交的时候不要改动文件名称，即使它跟章节标题不一样也不要改，因为文件名和原文的链接是对应的！！！**

*  `fork` Github 项目
 *  修改`docs/0.21.3`中的文档
 *  `push`
 *  `pull request`

请见 [Github 入门指南][Github]。

[https_github.com_apachecn_sklearn-doc-zh_issues_352]: https://github.com/apachecn/sklearn-doc-zh/issues/352
[https_github.com_apachecn_sklearn-doc-zh_blob_master_CONTRIBUTING.md]: https://github.com/apachecn/sklearn-doc-zh/blob/master/CONTRIBUTING.md
[https_github.com_apachecn_sklearn-doc-zh]: https://github.com/apachecn/sklearn-doc-zh
[Link 1]: https://scikit-learn.org
[Link 2]: https://sklearn.apachecn.org
[loopyme]: https://github.com/loopyme
[Link 3]: https://github.com/wizardforcel
[Link 4]: https://github.com/jiangzhonglian
[scikit-learn]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/62.md
[1.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/1.md
[1.1.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/2.md
[1.2.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/3.md
[1.3.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/4.md
[1.4.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/5.md
[1.5.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/6.md
[1.6.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/7.md
[1.7.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/8.md
[1.8.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/9.md
[1.9.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/10.md
[1.10.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/11.md
[1.11.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/12.md
[1.12.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/13.md
[1.13.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/14.md
[1.14.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/15.md
[1.15.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/16.md
[1.16.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/17.md
[1.17.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/18.md
[2.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/19.md
[2.1.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/20.md
[2.2.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/21.md
[2.3.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/22.md
[2.4.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/23.md
[2.5.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/24.md
[2.6.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/25.md
[2.7.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/26.md
[2.8.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/27.md
[2.9.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/28.md
[3.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/29.md
[3.1.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/30.md
[3.2.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/31.md
[3.3. _]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/32.md
[3.4.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/33.md
[3.5. _]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/34.md
[4.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/35.md
[4.1.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/36.md
[5.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/37.md
[5.1. Pipeline_ FeatureUnion_]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/38.md
[5.2.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/39.md
[5.3]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/40.md
[5.4]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/41.md
[5.5.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/42.md
[5.6.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/43.md
[5.7.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/44.md
[5.8. _]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/45.md
[5.9. _ _y_]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/46.md
[6.]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/47.md
[7. _scikit-learn]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/48.md
[Link 5]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/50.md
[scikit-learn 1]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/51.md
[Link 6]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/52.md
[scikit-learn 2]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/53.md
[Link 7]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/54.md
[Link 8]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/55.md
[Link 9]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/56.md
[Link 10]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/57.md
[Link 11]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/58.md
[Link 12]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/59.md
[estimator.md]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/60.md
[Link 13]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/61.md
[API]: https://scikit-learn.org/stable/modules/classes.html
[Link 14]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/63.md
[Link 15]: https://github.com/apachecn/sklearn-doc-zh/blob/master/docs/0.21.3/64.md
[Github]: https://github.com/apachecn/kaggle/blob/master/docs/GitHub