Causality:回购因果关系研究
因果框架
HPCC系统因果关系框架目前正在开发中。 该存储库提供了一个Python模块，该模块实现了因果模型表示，验证，因果推理以及最终反事实推理的所有相关算法。 它具有综合的数据生成功能，可用于测试算法并针对各种情况探查其功能。 该存储库可用作独立的Python框架。 它还将用于为HPCC Systems超级计算集群上的并行因果框架提供本地处理。 有关因果关系，因果推断以及各种因果算法的详细信息，请参见下面的参考部分。
安装
先决条件
Python3
麻木
matplotlib
程序
克隆存储库
将您的存储库添加到pythonpath或在存储库中工作。
因果方法
cGraph.py （因果图）是系统的心脏。 它接受一个多元数据集以及一个因果模型（也称为路径图），该模型被认为与产生数据的因果过程相对应。 因果模型是有向无环图，它代表了因果过程的最佳假设，该假设是所提供数据集生成的基础。
文件下载
资源详情
[{"title":"（ 82 个子文件 310KB ） Causality:回购因果关系研究","children":[{"title":"Causality-main","children":[{"title":"README.md <span style='color:#111;'> 12.11KB </span>","children":null,"spread":false},{"title":"direction.py <span style='color:#111;'> 891B </span>","children":null,"spread":false},{"title":"standardize.py <span style='color:#111;'> 253B </span>","children":null,"spread":false},{"title":"cGraph.py <span style='color:#111;'> 23.74KB </span>","children":null,"spread":false},{"title":"interventionTest.py <span style='color:#111;'> 2.21KB </span>","children":null,"spread":false},{"title":"cTest.py <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false},{"title":"DataSeers","children":[{"title":"bTest.py <span style='color:#111;'> 815B </span>","children":null,"spread":false},{"title":"Behavior.py <span style='color:#111;'> 3.91KB </span>","children":null,"spread":false}],"spread":true},{"title":"synth","children":[{"title":"getData.py <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"synthDataGen.py <span style='color:#111;'> 7.74KB </span>","children":null,"spread":false}],"spread":true},{"title":"models","children":[{"title":"discTest.py <span style='color:#111;'> 700B </span>","children":null,"spread":false},{"title":"M7.py <span style='color:#111;'> 1.06KB </span>","children":null,"spread":false},{"title":"M3-discrete.py <span style='color:#111;'> 984B </span>","children":null,"spread":false},{"title":"M5.py <span style='color:#111;'> 944B </span>","children":null,"spread":false},{"title":"depTest.py <span style='color:#111;'> 1.00KB </span>","children":null,"spread":false},{"title":"M2D.py <span style='color:#111;'> 1.11KB </span>","children":null,"spread":false},{"title":"M0.py <span style='color:#111;'> 670B </span>","children":null,"spread":false},{"title":"PW1.py <span style='color:#111;'> 1.39KB </span>","children":null,"spread":false},{"title":"iceCream.py <span style='color:#111;'> 930B </span>","children":null,"spread":false},{"title":"M4.py <span style='color:#111;'> 847B </span>","children":null,"spread":false},{"title":"M3.py <span style='color:#111;'> 896B </span>","children":null,"spread":false},{"title":"M2.py <span style='color:#111;'> 790B </span>","children":null,"spread":false}],"spread":false},{"title":"independence.py <span style='color:#111;'> 2.32KB </span>","children":null,"spread":false},{"title":"py-archive","children":[{"title":"IndLn.cal <span style='color:#111;'> 43B </span>","children":null,"spread":false},{"title":"synthDataPlot.py <span style='color:#111;'> 2.91KB </span>","children":null,"spread":false},{"title":"CI_gcr1.py <span style='color:#111;'> 3.02KB </span>","children":null,"spread":false},{"title":"CaPC.py <span style='color:#111;'> 10.52KB </span>","children":null,"spread":false},{"title":"CondIndGCR.py <span style='color:#111;'> 3.77KB </span>","children":null,"spread":false},{"title":"test.py <span style='color:#111;'> 4.26KB </span>","children":null,"spread":false},{"title":"standardize.py <span style='color:#111;'> 330B </span>","children":null,"spread":false},{"title":"attractorPlot.py <span style='color:#111;'> 4.04KB </span>","children":null,"spread":false},{"title":"IndMI.cal <span style='color:#111;'> 43B </span>","children":null,"spread":false},{"title":"condIndCalc.py <span style='color:#111;'> 4.39KB </span>","children":null,"spread":false},{"title":"IndLn.py <span style='color:#111;'> 3.96KB </span>","children":null,"spread":false},{"title":"preprocessExperiment1.py <span style='color:#111;'> 6.75KB </span>","children":null,"spread":false},{"title":"CaCCM.py <span style='color:#111;'> 419B </span>","children":null,"spread":false},{"title":"IndGauss.cal <span style='color:#111;'> 40B </span>","children":null,"spread":false},{"title":"attractorPlot2.py <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false},{"title":"IndHSIC.cal <span style='color:#111;'> 40B </span>","children":null,"spread":false},{"title":"IndGauss.py <span style='color:#111;'> 508B </span>","children":null,"spread":false},{"title":"calibration.py <span style='color:#111;'> 914B </span>","children":null,"spread":false},{"title":"analyzeSEM.py <span style='color:#111;'> 5.43KB </span>","children":null,"spread":false},{"title":"CCM.py <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"adFullerTest.py <span style='color:#111;'> 727B </span>","children":null,"spread":false},{"title":"Lingam.py <span style='color:#111;'> 26.85KB </span>","children":null,"spread":false},{"title":"CI_gcr.py <span style='color:#111;'> 4.73KB </span>","children":null,"spread":false},{"title":"calibrateCondIndTests.py <span style='color:#111;'> 3.83KB </span>","children":null,"spread":false},{"title":"modelTest.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false},{"title":"IndMI.py <span style='color:#111;'> 616B </span>","children":null,"spread":false},{"title":"kdeTest.py <span style='color:#111;'> 2.00KB </span>","children":null,"spread":false},{"title":"CondIndGauss.cal <span style='color:#111;'> 42B </span>","children":null,"spread":false},{"title":"IC_TEST.py <span style='color:#111;'> 18.82KB </span>","children":null,"spread":false},{"title":"CondIndGauss.py <span style='color:#111;'> 778B </span>","children":null,"spread":false},{"title":"entropy_estimators.py <span style='color:#111;'> 6.76KB </span>","children":null,"spread":false},{"title":"getData.py <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"PlotN.py <span style='color:#111;'> 903B </span>","children":null,"spread":false},{"title":"New Text Document.txt <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"directionTest.py <span style='color:#111;'> 4.42KB </span>","children":null,"spread":false},{"title":"tempTest.py <span style='color:#111;'> 3.57KB </span>","children":null,"spread":false},{"title":"CaIC.py <span style='color:#111;'> 3.62KB </span>","children":null,"spread":false},{"title":"FlexDAG.py <span style='color:#111;'> 8.54KB </span>","children":null,"spread":false},{"title":"IC_TEST_sav150423.py <span style='color:#111;'> 11.13KB </span>","children":null,"spread":false},{"title":"readme.pdf <span style='color:#111;'> 190.74KB </span>","children":null,"spread":false},{"title":"readme.txt <span style='color:#111;'> 935B </span>","children":null,"spread":false},{"title":"synthDataGen.py <span style='color:#111;'> 6.87KB </span>","children":null,"spread":false},{"title":"debug.py <span style='color:#111;'> 127B </span>","children":null,"spread":false},{"title":"IndHSIC.py <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false},{"title":"CaICAny.py <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"calibrateIndependenceTests.py <span style='color:#111;'> 3.73KB </span>","children":null,"spread":false}],"spread":false},{"title":"rv.py <span style='color:#111;'> 348B </span>","children":null,"spread":false},{"title":"indCalibrate.py <span style='color:#111;'> 3.20KB </span>","children":null,"spread":false},{"title":"directTest.py <span style='color:#111;'> 978B </span>","children":null,"spread":false},{"title":"cScan.py <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"Probability","children":[{"title":"probCharts.py <span style='color:#111;'> 2.15KB </span>","children":null,"spread":false},{"title":"probPlot.py <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"Prob.py <span style='color:#111;'> 53.75KB </span>","children":null,"spread":false},{"title":"pdf.py <span style='color:#111;'> 18.54KB </span>","children":null,"spread":false},{"title":"Test","children":[{"title":"probPredTest.py <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false},{"title":"models","children":[{"title":"probPredTestDat.py <span style='color:#111;'> 1.64KB </span>","children":null,"spread":false},{"title":"indCalibrationDat.py <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"probTestDat.py <span style='color:#111;'> 1.92KB </span>","children":null,"spread":false}],"spread":false},{"title":"probTest.py <span style='color:#111;'> 9.88KB </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":false}],"spread":true}]
评论信息
其他资源
- WS2_32库（Win32+Win64）
- 银行业数据治理实践（德勤）.pdf
- vs+SQL图书管理系统
- CFA 2019 - Level 2 SchweserNotes Book 1.pdf
- 杂波抑制CLEAN算法
- ArcGIS 10.1 for Desktop Add-in开发
- C# 调用系统默认打印机打印 以小票打印机为例
- java课程设计--简单教务管理系统设计实现
- 计算机体系结构Tomasulo算法模拟python.zip
- ffmpeg api实现视频转码（音视频）
- 基于时间序列聚类分析的股票数据 分析系统研究
- Mathworks R2019a Statistics and Machine Learning Toolbox
- 电力系统CIM模型
- 基于非线性模糊矩阵的代码混淆有效性评估模型
- 表面极化声子的喇曼散射研究
- 睿因USB显卡驱动、网络显卡.rar
- ng-quill：鹅毛笔富文本编辑器的AngularJS组件-源码
- helm-push_0.9.0_linux_amd64.tar.gz
- 《MATLAB神经网络43个案例分析》
- Centos 7.4 DHCP 双机热备
- xilinxFIFO_IP核的datasheet
- Cannot open include file: 'streambuf': No such file or directory
- ISA标准，企业控制系统集成，智能制造MES理论标准和基础，中文版
- 最小资源分配网络MATLAB源码
免责申明
【只为小站】的资源来自网友分享，仅供学习研究，请务必在下载后24小时内给予删除，不得用于其他任何用途，否则后果自负。基于互联网的特殊性，【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查；无论 【只为小站】 经营者是否已进行审查，用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明
本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明