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| Contributors of DMLC/XGBoost | ||
| ============================ | ||
| XGBoost has been developed and used by a group of active community. Everyone is more than welcomed to is a great way to make the project better and more accessible to more users. | ||
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| Comitters | ||
| --------- | ||
| Committers are people who have made substantial contribution to the project and granted write access to the project. | ||
| * [Tianqi Chen](https://github.com/tqchen), University of Washington | ||
| - Tianqi is a PhD working on large-scale machine learning, he is the creator of the project. | ||
| * [Tong He](https://github.com/hetong007), Simon Fraser University | ||
| - Tong is a master student working on data mining, he is the maintainer of xgboost R package. | ||
| * [Bing Xu](https://github.com/antinucleon) | ||
| - Bing is the original creator of xgboost python package and currently the maintainer of [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl). | ||
| * [Michael Benesty](https://github.com/pommedeterresautee) | ||
| - Micheal is a lawyer, data scientist in France, he is the creator of xgboost interactive analysis module in R. | ||
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| Become a Comitter | ||
| ----------------- | ||
| XGBoost is a opensource project and we are actively looking for new comitters who are willing to help maintaining and lead the project. | ||
| Committers comes from contributors who: | ||
| * Made substantial contribution to the project. | ||
| * Willing to spent time on maintaining and lead the project. | ||
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| New committers will be proposed by current comitter memembers, with support from more than two of current comitters. | ||
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| List of Contributors | ||
| -------------------- | ||
| * [Full List of Contributors](https://github.com/dmlc/xgboost/graphs/contributors) | ||
| - To contributors: please add your name to the list when you submit a patch to the project:) | ||
| * [Kailong Chen](https://github.com/kalenhaha) | ||
| - Kailong is an early contributor of xgboost, he is creator of ranking objectives in xgboost. | ||
| * [Skipper Seabold](https://github.com/jseabold) | ||
| - Skipper is the major contributor to the scikit-learn module of xgboost. | ||
| * [Zygmunt Zając](https://github.com/zygmuntz) | ||
| - Zygmunt is the master behind the early stopping feature frequently used by kagglers. | ||
| * [Ajinkya Kale](https://github.com/ajkl) | ||
| * [Boliang Chen](https://github.com/cblsjtu) | ||
| * [Vadim Khotilovich](https://github.com/khotilov) | ||
| * [Yangqing Men](https://github.com/yanqingmen) | ||
| - Yangqing is the creator of xgboost java package. | ||
| * [Engpeng Yao](https://github.com/yepyao) | ||
| * [Giulio](https://github.com/giuliohome) | ||
| - Giulio is the creator of windows project of xgboost | ||
| * [Jamie Hall](https://github.com/nerdcha) | ||
| - Jamie is the initial creator of xgboost sklearn modue. | ||
| * [Yen-Ying Lee](https://github.com/white1033) | ||
| * [Masaaki Horikoshi](https://github.com/sinhrks) | ||
| - Masaaki is the initial creator of xgboost python plotting module. | ||
| * [Hongliang Liu](https://github.com/phunterlau) | ||
| - Hongliang is the maintainer of xgboost python PyPI package for pip installation. |
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| \.dll$ | ||
| ^.*\.Rproj$ | ||
| ^\.Rproj\.user$ | ||
| README.md | ||
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| # R package for xgboost. | ||
| R package for xgboost | ||
| ===================== | ||
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| ## Installation | ||
| [](http://cran.r-project.org/web/packages/xgboost) | ||
| [](http://cran.rstudio.com/web/packages/xgboost/index.html) | ||
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| For up-to-date version (which is recommended), please install from github. Windows user will need to install [RTools](http://cran.r-project.org/bin/windows/Rtools/) first. | ||
| Installation | ||
| ------------ | ||
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| We are [on CRAN](https://cran.r-project.org/web/packages/xgboost/index.html) now. For stable/pre-compiled(for Windows and OS X) version, please install from CRAN: | ||
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| ```r | ||
| devtools::install_github('dmlc/xgboost',subdir='R-package') | ||
| install.packages('xgboost') | ||
| ``` | ||
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| For up-to-date version, please install from github. Windows user will need to install [RTools](http://cran.r-project.org/bin/windows/Rtools/) first. | ||
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| ## Examples | ||
| ```r | ||
| devtools::install_github('dmlc/xgboost',subdir='R-package') | ||
| ``` | ||
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| Examples | ||
| -------- | ||
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| * Please visit [walk through example](demo). | ||
| * See also the [example scripts](../demo/kaggle-higgs) for Kaggle Higgs Challenge, including [speedtest script](../demo/kaggle-higgs/speedtest.R) on this dataset and the one related to [Otto challenge](../demo/kaggle-otto), including a [RMarkdown documentation](../demo/kaggle-otto/understandingXGBoostModel.Rmd). | ||
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| Notes | ||
| ----- | ||
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| If you face an issue installing the package using ```devtools::install_github```, something like this (even after updating libxml and RCurl as lot of forums say) - | ||
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| ``` | ||
| devtools::install_github('dmlc/xgboost',subdir='R-package') | ||
| Downloading github repo dmlc/xgboost@master | ||
| Error in function (type, msg, asError = TRUE) : | ||
| Peer certificate cannot be authenticated with given CA certificates | ||
| ``` | ||
| To get around this you can build the package locally as mentioned [here](https://github.com/dmlc/xgboost/issues/347) - | ||
| ``` | ||
| 1. Clone the current repository and set your workspace to xgboost/R-package/ | ||
| 2. Run R CMD INSTALL --build . in terminal to get the tarball. | ||
| 3. Run install.packages('path_to_the_tarball',repo=NULL) in R to install. | ||
| ``` |
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