提交 4d82b11a 编写于 作者: 片刻小哥哥's avatar 片刻小哥哥

2020-09-10 07:48:56

上级

要显示的变更太多。

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# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
*.vscode
# C extensions
*.so
# Distribution / packaging
.Python
env/
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
.hypothesis/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
target/
# Jupyter Notebook
.ipynb_checkpoints
# pyenv
.python-version
# celery beat schedule file
celerybeat-schedule
# SageMath parsed files
*.sage.py
# dotenv
.env
# virtualenv
.venv
venv/
ENV/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.DS_Store
# gitbook
_book
# node.js
node_modules
# windows
Thumbs.db
# word
~$*.docx
~$*.doc
# custom
docs/README.md
language: node_js # 构建所需的语言环境
node_js:
- "v10.16.0" # 对应的版本
branches:
only:
- master # 构建的分支
cache:
directories:
- node_modules # 依赖缓存的目录
install:
- npm install -g gitbook-cli # 安装编译工具
- gitbook fetch 3.2.3 # 安装 Gitbook 子版本
script:
- sh run_website.sh
after_script:
- cd _book
- git init
- git config user.name ${GH_UN}
- git config user.email ${GH_EMAIL}
- git add -A
- git commit -am "$(date "+%Y-%m-%d %H:%M:%S")"
- git push "https://${GH_TOKEN}@github.com/${GH_USER}/${GH_REPO}.git" master:${GH_BRANCH} -f
env:
global:
- GH_UN=jiangzhonglian
- GH_EMAIL=jiang-s@163.com
- GH_USER=apachecn
- GH_REPO=sklearn-doc-zh
- GH_BRANCH=gh-pages
---
permalink: /404.html
---
<script>window.location.href = '/';</script>
sklearn.apachecn.org
# 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](https://scikit-learn.org)
+ [中文翻译](https://sklearn.apachecn.org)
## 章节列表
* [安装 scikit-learn](docs/master/62.md)
* 用户指南
* [1. 监督学习](docs/master/1.md)
* [1.1. 广义线性模型](docs/master/2.md)
* [1.2. 线性和二次判别分析](docs/master/3.md)
* [1.3. 内核岭回归](docs/master/4.md)
* [1.4. 支持向量机](docs/master/5.md)
* [1.5. 随机梯度下降](docs/master/6.md)
* [1.6. 最近邻](docs/master/7.md)
* [1.7. 高斯过程](docs/master/8.md)
* [1.8. 交叉分解](docs/master/9.md)
* [1.9. 朴素贝叶斯](docs/master/10.md)
* [1.10. 决策树](docs/master/11.md)
* [1.11. 集成方法](docs/master/12.md)
* [1.12. 多类和多标签算法](docs/master/13.md)
* [1.13. 特征选择](docs/master/14.md)
* [1.14. 半监督学习](docs/master/15.md)
* [1.15. 等式回归](docs/master/16.md)
* [1.16. 概率校准](docs/master/17.md)
* [1.17. 神经网络模型(有监督)](docs/master/18.md)
* [2. 无监督学习](docs/master/19.md)
* [2.1. 高斯混合模型](docs/master/20.md)
* [2.2. 流形学习](docs/master/21.md)
* [2.3. 聚类](docs/master/22.md)
* [2.4. 双聚类](docs/master/23.md)
* [2.5. 分解成分中的信号(矩阵分解问题)](docs/master/24.md)
* [2.6. 协方差估计](docs/master/25.md)
* [2.7. 新奇和异常值检测](docs/master/26.md)
* [2.8. 密度估计](docs/master/27.md)
* [2.9. 神经网络模型(无监督)](docs/master/28.md)
* [3. 模型选择和评估](docs/master/29.md)
* [3.1. 交叉验证:评估估算器的表现](docs/master/30.md)
* [3.2. 调整估计器的超参数](docs/master/31.md)
* [3.3. 模型评估: 量化预测的质量](docs/master/32.md)
* [3.4. 模型持久化](docs/master/33.md)
* [3.5. 验证曲线: 绘制分数以评估模型](docs/master/34.md)
* [4. 检验](docs/master/35.md)
* [4.1. 部分依赖图](docs/master/36.md)
* [5. 数据集转换](docs/master/37.md)
* [5.1. Pipeline(管道)和 FeatureUnion(特征联合): 合并的评估器](docs/master/38.md)
* [5.2. 特征提取](docs/master/39.md)
* [5.3 预处理数据](docs/master/40.md)
* [5.4 缺失值插补](docs/master/41.md)
* [5.5. 无监督降维](docs/master/42.md)
* [5.6. 随机投影](docs/master/43.md)
* [5.7. 内核近似](docs/master/44.md)
* [5.8. 成对的矩阵, 类别和核函数](docs/master/45.md)
* [5.9. 预测目标 (`y`) 的转换](docs/master/46.md)
* [6. 数据集加载工具](docs/master/47.md)
* [6.1. 通用数据集 API](docs/master/47.md)
* [6.2. 玩具数据集](docs/master/47.md)
* [6.3 真实世界中的数据集](docs/master/47.md)
* [6.4. 样本生成器](docs/master/47.md)
* [6.5. 加载其他数据集](docs/master/47.md)
* [7. 使用scikit-learn计算](docs/master/48.md)
* [7.1. 大规模计算的策略: 更大量的数据](docs/master/48.md)
* [7.2. 计算性能](docs/master/48.md)
* [7.3. 并行性、资源管理和配置](docs/master/48.md)
* [教程](docs/master/50.md)
* [使用 scikit-learn 介绍机器学习](docs/master/51.md)
* [关于科学数据处理的统计学习教程](docs/master/52.md)
* [机器学习: scikit-learn 中的设置以及预估对象](docs/master/53.md)
* [监督学习:从高维观察预测输出变量](docs/master/54.md)
* [模型选择:选择估计量及其参数](docs/master/55.md)
* [无监督学习: 寻求数据表示](docs/master/56.md)
* [把它们放在一起](docs/master/57.md)
* [寻求帮助](docs/master/58.md)
* [处理文本数据](docs/master/59.md)
* [选择正确的评估器(estimator.md)](docs/master/60.md)
* [外部资源,视频和谈话](docs/master/61.md)
* [API 参考](https://scikit-learn.org/stable/modules/classes.html)
* [常见问题](docs/master/63.md)
* [时光轴](docs/master/64.md)
## 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;当然如果你想完善已校对的章节,我们也十分欢迎。
然后回复 ISSUE,注明“章节 + QQ 号”(一定要留 QQ)。
### 二、校对
#### 完善方向
可以完善的方向包括但不限于:
1. 中英文符号(Chinese prior);
2. 笔误及错误语法;
3. 术语使用;
4. 语言润色;
5. 文档格式;
6. 如果觉得现有翻译的某些部分不好,重新翻译也是可以的。
#### 关于数学公式
尽管用MathJax等工具插入数学公式是一个好的 manner,但是我们目前并不把它列为 high-priority 的提升方向。我们未来会做的!但是针对于这个问题如果你有好的想法并乐意PR,未来我们会针对于这个新特性做一些改进。
如果你发现公式过期或者错误,请务必按照这种格式进行更新:"! + [latex 公式] + (图片地址) ",这样可以保证我们的开发比较高效。此外,不要忘记将新的图片放到 img 文件夹中一并 PR。如果你找不到好的latex公式图片下载地址,可以使用[这个工具](http://latex.codecogs.com/eqneditor/editor.php)
#### 管理者校对
管理员应当是组织内活跃的参与者,因此可能会从事很多校对工作。我们建议管理员自己不要 merge 自己对于文档修改或者增加新特性的PR,这样其他管理员可以 review 并 double check,提升文档质量。
### 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 项目并建立你的分支 `branch`(我们强烈建议这样做);
+ 将译文放在 `docs/master` 文件夹下;
+ `commit``push` 你的修改;
+ `pull request`
如果你还不熟练这个流程,请参阅 [Github 入门指南](https://github.com/apachecn/kaggle/blob/master/docs/GitHub)
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THE MIT LICENSE (MIT)
Copyright © 2014 Hassan Khan, http://hassankhan.me <contact@hassankhan.me>
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the “Software”), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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.emoji {
width: 1.3em;
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display: inline-block;
margin-bottom: 0.2em;
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