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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
*$py.class | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
env/ | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
.eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
wheels/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
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# 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 | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.coverage | ||
.coverage.* | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
*.cover | ||
.hypothesis/ | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
local_settings.py | ||
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# Flask stuff: | ||
instance/ | ||
.webassets-cache | ||
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# Scrapy stuff: | ||
.scrapy | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
target/ | ||
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# Jupyter Notebook | ||
.ipynb_checkpoints | ||
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# pyenv | ||
.python-version | ||
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# celery beat schedule file | ||
celerybeat-schedule | ||
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# SageMath parsed files | ||
*.sage.py | ||
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# dotenv | ||
.env | ||
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# virtualenv | ||
.venv | ||
venv/ | ||
ENV/ | ||
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# Spyder project settings | ||
.spyderproject | ||
.spyproject | ||
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# Rope project settings | ||
.ropeproject | ||
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# mkdocs documentation | ||
/site | ||
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# mypy | ||
.mypy_cache/ | ||
.DS_Store | ||
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# gitbook | ||
_book | ||
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# node.js | ||
node_modules | ||
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# windows | ||
Thumbs.db | ||
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# word | ||
~$*.docx | ||
~$*.doc | ||
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# custom | ||
docs/README.md |
Empty file.
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language: python | ||
python: 3.6 | ||
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install: | ||
- ':' | ||
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script: | ||
- ':' | ||
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after_script: | ||
- git config user.name ${GH_UN} | ||
- git config user.email ${GH_EMAIL} | ||
- git push "https://${GH_TOKEN}@github.com/${GH_USER}/${GH_REPO}.git" v0.19.x-md:${GH_BRANCH} -f | ||
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env: | ||
global: | ||
- GH_UN=jiangzhonglian | ||
- GH_EMAIL=jiang-s@163.com | ||
- GH_USER=apachecn | ||
- GH_REPO=sklearn-doc-zh | ||
- GH_BRANCH=gh-pages |
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sklearn.apachecn.org |
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# 贡献指南 | ||
|
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## 参与翻译 & 发现错误 | ||
|
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1. 在 github 上 fork 该 repository. | ||
2. 翻译 doc/zh/modules 和 doc/zh/tutorial 下面的 rst 文件即可, 例如, tutorial.rst. | ||
3. 然后, 在你的 github 发起 New pull request 请求. | ||
4. 工具使用, 可参考下面的内容. | ||
|
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## 工具使用(针对新手) | ||
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工欲善其事, 必先利其器 ... | ||
工具随意, 能达到效果就好. | ||
我这里使用的是 `VSCode` 编辑器. | ||
简易的使用指南请参阅: [VSCode Windows 平台入门使用指南](help/vscode-windows-usage.md), 介绍了 `VSCode` 与 `github` 一起搭配的简易使用的方法. | ||
如果要将 VSCode 的 Markdown 预览风格切换为 github 的风格,请参阅: [VSCode 修改 markdown 的预览风格为 github 的风格](help/vscode-markdown-preview-github-style.md). | ||
|
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**注意注意注意:** | ||
|
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为了尽量正规化各顶级项目的翻译,更便于以后的迭代更新,我们在 `scikit-learn` 文档翻译中使用了 `Git` 的分支,具体应用方法请参阅: [使用 Git 分支进行迭代翻译](help/git-branch-usage.md). | ||
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## 角色分配 | ||
|
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目前有如下可分配的角色: | ||
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* 翻译: 负责文章内容的翻译. | ||
* 校验: 负责文章内容的校验, 比如格式, 正确度之类的. | ||
* 负责人: 负责整个 Projcet, 不至于让该 Project 成为垃圾项目, 需要在 sklearn 方面经验稍微丰富点. | ||
|
||
有兴趣参与的朋友, 可以看看最后的联系方式. |
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# scikit-learn (sklearn) 官方文档中文版 | ||
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![](docs/img/scikit-learn-logo.png) | ||
|
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scikit-learn 是基于 Python 语言的机器学习工具。 | ||
|
||
1. 简单高效的数据挖掘和数据分析工具 | ||
2. 可供大家在各种环境中重复使用 | ||
3. 建立在 NumPy ,SciPy 和 matplotlib 上 | ||
4. 开源,可商业使用 - BSD许可证 | ||
|
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## 维护地址 | ||
|
||
+ [Github](https://github.com/apachecn/scikit-learn-doc-zh/): <> | ||
+ [在线阅读](http://www.apachecn.org) | ||
+ [EPUB 格式](https://github.com/apachecn/scikit-learn-doc-zh/raw/dl/scikit-learn%200.19%20%E4%B8%AD%E6%96%87%E6%96%87%E6%A1%A3.epub) | ||
|
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## 历史版本 | ||
|
||
* [scikit-learn (sklearn) 0.18 官方文档中文版](http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181): <http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181> | ||
|
||
## 贡献指南 | ||
|
||
[请见这里](CONTRIBUTING.md) | ||
|
||
## 负责人 | ||
|
||
* [@chenyyx](https://github.com/chenyyx)(Joy yx) | ||
|
||
## 贡献者 | ||
|
||
贡献者可自行编辑如下内容(排名不分先后). | ||
|
||
### 0.19.0 | ||
|
||
**翻译者(人人皆大佬~):** | ||
|
||
* [@wangyangting](https://github.com/wangyangting)(那伊抹微笑) | ||
* [@jiangzhonglian](https://github.com/jiangzhonglian)(片刻) | ||
* [@chenyyx](https://github.com/chenyyx)(Joy yx) | ||
* [@survivingME](https://github.com/survivingME)(Trembleguy) | ||
* [@mtobeiyf](https://github.com/mtobeiyf)(Fing) | ||
* [@Leon-Jin](https://github.com/Leon-Jin)(Leon晋) | ||
* [@X1aoFang](https://github.com/X1aoFang)(X1aoFang) | ||
* [@loverollcat](https://github.com/loverollcat)(loverollcat) | ||
* [@helloheshee](https://github.com/helloheshee)(helloheshee) | ||
* [@SkyDreamStart](https://github.com/SkyDreamStart)(SkyDreamStart) | ||
* [@HazekiahWon](https://github.com/HazekiahWon)(Hazekiah Wang) | ||
* [@201419](https://github.com/201419)(tree) | ||
* [@busesese](https://github.com/busesese)(wenyi) | ||
* [@chrzc](https://github.com/chrzc)(changzhicheng) | ||
* [@Zoctan](https://github.com/Zoctan)(Zoctan) | ||
* [@JanzenLiu](https://github.com/JanzenLiu)(Janzen_Liu) | ||
* [@charleschou520](https://github.com/charleschou520)(charleschou520) | ||
* [@zhangqiking](https://github.com/zhangqiking)(BigBird) | ||
* [@mikechengwei](https://github.com/mikechengwei)(Mike) | ||
* [@wodekwan](https://github.com/wodekwan)(wodekwan) | ||
* [@sehriff](https://github.com/sehriff)(sehriff) | ||
* [@Kdotm](https://github.com/Kdotm)(kngines) | ||
* [@patientman](https://github.com/patientman)(YuanMingLiu) | ||
* [@DamonDay](https://github.com/DamonDay)(DamonDay) | ||
* [@cszhangbo](https://github.com/cszhangbo)(cszhangbo) | ||
* [@XingxGit](https://github.com/XingxGit)(XingxGit) | ||
* [@KrokYin](https://github.com/KrokYin)(KrokYin) | ||
* [@yw10](https://github.com/yw10)(Andrew Yao) | ||
* [@GlassyWu](https://github.com/GlassyWu)(glassy) | ||
* [@PrivateRookie](https://github.com/PrivateRookie)(PrivateRookie) | ||
* [@linweijiang](https://github.com/linweijiang)(linweijiang) | ||
* [@jiaqiangbandongg](https://github.com/jiaqiangbandongg)(jiaqiangbandongg) | ||
* [@supportingvector](https://github.com/supportingvector)(supportingvector) | ||
* [@stealthsMrs](https://github.com/stealthsMrs)(stealthsMrs) | ||
* [@lhwlhw90](https://github.com/lhwlhw90)(lhwlhw90) | ||
* [@sheepmen](https://github.com/sheepmen)(羊三) | ||
* [@guohao916](https://github.com/guohao916)(guohao_dm) | ||
* [@Daemon-ser](https://github.com/Daemon-ser)(csu_hgq) | ||
* [@wangxiancai](https://github.com/wangxiancai)(BWM-蜜蜂) | ||
* [@夜神月](@qq760514101)(夜神月) | ||
* [@liyangbit](https://github.com/liyangbit)(Lemon) | ||
* [@XuJianzhi](https://github.com/XuJianzhi)(XuJianzhi) | ||
|
||
**校验者(人人皆大佬~)**(现在还不齐全,贡献者大佬们可随意修改) | ||
|
||
* [@weiyd](https://github.com/weiyd)(尔了个达) | ||
* [@FontTian](https://github.com/FontTian)(FontTian) | ||
* [@XuJianzhi](https://github.com/XuJianzhi)(XuJianzhi) | ||
* [@caopeirui](https://github.com/caopeirui)(Veyron C) | ||
* [@HelloSilicat](https://github.com/HelloSilicat)(Jialiang Pei) | ||
* [@AnybodyHome](https://github.com/AnybodyHome)(loop) | ||
* [@RyanZhiNie](https://github.com/RyanZhiNie)(Zhi Nie) | ||
* [@zehuichen123](https://github.com/zehuichen123)(loveSnowBest) | ||
* [@hlxstc](https://github.com/hlxstc)(Jokers) | ||
* [@NellyLuo](https://github.com/NellyLuo)(NellyLuo) | ||
* [@yuezhao9210](https://github.com/yuezhao9210)(Yue Zhao) | ||
* [@why2lyj](https://github.com/why2lyj)(Snow Wong) | ||
* [@pan8664716](https://github.com/pan8664716)(pan8664716) | ||
* [@xrj](https://github.com/xrj)(xrj) | ||
* [@qvduoduo1997](https://github.com/qvduoduo1997)(qvduoduo1997) | ||
* [@marsjhao](https://github.com/marsjhao)(Zhang Junhao) | ||
* [@tiantian1412](https://github.com/tiantian1412)(tiantian1412) | ||
* [@sheepmen](https://github.com/sheepmen)(羊三) | ||
* [@wangyangting](https://github.com/wangyangting)(那伊抹微笑) | ||
* [@jiangzhonglian](https://github.com/jiangzhonglian)(片刻) | ||
* [@chenyyx](https://github.com/chenyyx)(Joy yx) | ||
* [@mikechengwei](https://github.com/mikechengwei)(Mike) | ||
* [@wangxiancai](https://github.com/wangxiancai)(BWM-蜜蜂) | ||
* [@busesese](https://github.com/busesese)(wenyi) | ||
* [@GlassyWu](https://github.com/GlassyWu)(glassy) | ||
* [@wodekwan](https://github.com/wodekwan)(wodekwan) | ||
* [@gbyy422990](https://github.com/gbyy422990)(Bin GAO) | ||
* [@charleschou520](https://github.com/charleschou520)(charleschou520) | ||
* [@DataMonk2017](https://github.com/DataMonk2017)(Jeremy Zheng) | ||
* [@Lixu518](https://github.com/Lixu518)(Mysry) | ||
* [@linxiamen](https://github.com/linxiamen)(YUNCHUAN LIN) | ||
* [@llcing](https://github.com/llcing)(Mayouji) | ||
* [@KyrieHee](https://github.com/KyrieHee)(HeYun) | ||
* [@ziepenn](https://github.com/ziepenn)(ziepenn) | ||
* [@FAN0521](https://github.com/FAN0521)(FAN0521) | ||
* [@Daemon-ser](https://github.com/Daemon-ser)(csu_hgq) | ||
* [@shaoyy147](https://github.com/shaoyy147)(Y.Shao) | ||
* [@Kdotm](https://github.com/Kdotm)(kngines) | ||
* [@chrzc](https://github.com/chrzc)(changzhicheng) | ||
* [@ywujudy](https://github.com/ywujudy)(ywujudy) | ||
* [@污剑客](https://github.com/apachecn)(污剑客) | ||
* [@爱吹牛逼的小明](https://github.com/apachecn)(爱吹牛逼的小明) | ||
* [@JanzenLiu](https://github.com/JanzenLiu)(Janzen_Liu) | ||
* [@Ecauchy](https://github.com/Ecauchy)(Ecauchy) | ||
|
||
### 0.18 | ||
|
||
请参阅: [http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181](http://cwiki.apachecn.org/pages/viewpage.action?pageId=10030181) | ||
|
||
## 联系方式 | ||
|
||
有任何建议反馈, 或想参与文档翻译, 麻烦联系下面的企鹅: | ||
|
||
* 企鹅: 1042658081(那伊抹微笑), 190442212(小瑶), 529815144(片刻) |
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+ [安装 scikit-learn](docs/79.md) | ||
+ 用户指南 | ||
+ [1\. 监督学习](docs/1.md) | ||
+ [1.1\. 广义线性模型](docs/2.md) | ||
+ [1.2\. 线性和二次判别分析](docs/3.md) | ||
+ [1.3\. 内核岭回归](docs/4.md) | ||
+ [1.4\. 支持向量机](docs/5.md) | ||
+ [1.5\. 随机梯度下降](docs/6.md) | ||
+ [1.6\. 最近邻](docs/7.md) | ||
+ [1.7\. 高斯过程](docs/8.md) | ||
+ [1.8\. 交叉分解](docs/9.md) | ||
+ [1.9\. 朴素贝叶斯](docs/10.md) | ||
+ [1.10\. 决策树](docs/11.md) | ||
+ [1.11\. 集成方法](docs/12.md) | ||
+ [1.12\. 多类和多标签算法](docs/13.md) | ||
+ [1.13\. 特征选择](docs/14.md) | ||
+ [1.14\. 半监督学习](docs/15.md) | ||
+ [1.15\. 等式回归](docs/16.md) | ||
+ [1.16\. 概率校准](docs/17.md) | ||
+ [1.17\. 神经网络模型(有监督)](docs/18.md) | ||
+ [2\. 无监督学习](docs/19.md) | ||
+ [2.1\. 高斯混合模型](docs/20.md) | ||
+ [2.2\. 流形学习](docs/21.md) | ||
+ [2.3\. 聚类](docs/22.md) | ||
+ [2.4\. 双聚类](docs/23.md) | ||
+ [2.5\. 分解成分中的信号(矩阵分解问题)](docs/24.md) | ||
+ [2.6\. 协方差估计](docs/25.md) | ||
+ [2.7\. 经验协方差](docs/26.md) | ||
+ [2.8\. 收敛协方差](docs/27.md) | ||
+ [2.9\. 稀疏逆协方差](docs/28.md) | ||
+ [2.10\. Robust 协方差估计](docs/29.md) | ||
+ [2.11\. 新奇和异常值检测](docs/30.md) | ||
+ [2.12\. 密度估计](docs/31.md) | ||
+ [2.13\. 神经网络模型(无监督)](docs/32.md) | ||
+ [3\. 模型选择和评估](docs/33.md) | ||
+ [3.1\. 交叉验证:评估估算器的表现](docs/34.md) | ||
+ [3.2\. 调整估计器的超参数](docs/35.md) | ||
+ [3.3\. 模型评估: 量化预测的质量](docs/53.md) | ||
+ [3.4\. 模型持久化](docs/54.md) | ||
+ [3.5\. 验证曲线: 绘制分数以评估模型](docs/55.md) | ||
+ [4\. 数据集转换](docs/56.md) | ||
+ [4.1\. Pipeline(管道)和 FeatureUnion(特征联合): 合并的评估器](docs/57.md) | ||
+ [4.2\. 特征提取](docs/58.md) | ||
+ [4.3\. 预处理数据](docs/59.md) | ||
+ [4.4\. 无监督降维](docs/60.md) | ||
+ [4.5\. 随机投影](docs/61.md) | ||
+ [4.6\. 内核近似](docs/62.md) | ||
+ [4.7\. 成对的矩阵, 类别和核函数](docs/63.md) | ||
+ [4.8\. 预测目标 (`y`.md) 的转换](docs/64.md) | ||
+ [5\. 数据集加载工具](docs/65.md) | ||
+ [6\. 大规模计算的策略: 更大量的数据](docs/66.md) | ||
+ [7\. 计算性能](docs/67.md) | ||
+ 教程 | ||
+ [使用 scikit-learn 介绍机器学习](docs/68.md) | ||
+ [关于科学数据处理的统计学习教程](docs/69.md) | ||
+ [机器学习: scikit-learn 中的设置以及预估对象](docs/70.md) | ||
+ [监督学习:从高维观察预测输出变量](docs/71.md) | ||
+ [模型选择:选择估计量及其参数](docs/72.md) | ||
+ [无监督学习: 寻求数据表示](docs/73.md) | ||
+ [把它们放在一起](docs/74.md) | ||
+ [寻求帮助](docs/75.md) | ||
+ [处理文本数据](docs/76.md) | ||
+ [选择正确的评估器(estimator.md)](docs/77.md) | ||
+ [外部资源,视频和谈话](docs/78.md) | ||
+ [API 参考](https://scikit-learn.org/stable/modules/classes.html) | ||
+ [常见问题](docs/80.md) | ||
+ [时光轴](docs/81.md) |
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