6f16f0ef58
* Fix various typos * Add override to functions that are overridden gcc gives warnings about functions that are being overridden by not being marked as oveirridden. This fixes it. * Use bst_float consistently Use bst_float for all the variables that involve weight, leaf value, gradient, hessian, gain, loss_chg, predictions, base_margin, feature values. In some cases, when due to additions and so on the value can take a larger value, double is used. This ensures that type conversions are minimal and reduces loss of precision.
65 lines
3.6 KiB
Markdown
65 lines
3.6 KiB
Markdown
Contributors of DMLC/XGBoost
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============================
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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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Committers
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----------
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Committers are people who have made substantial contribution to the project and granted write access to the project.
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* [Tianqi Chen](https://github.com/tqchen), University of Washington
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- Tianqi is a PhD working on large-scale machine learning, he is the creator of the project.
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* [Tong He](https://github.com/hetong007), Simon Fraser University
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- Tong is a master student working on data mining, he is the maintainer of xgboost R package.
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* [Bing Xu](https://github.com/antinucleon)
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- Bing is the original creator of xgboost python package and currently the maintainer of [XGBoost.jl](https://github.com/antinucleon/XGBoost.jl).
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* [Michael Benesty](https://github.com/pommedeterresautee)
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- Micheal is a lawyer, data scientist in France, he is the creator of xgboost interactive analysis module in R.
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* [Yuan Tang](https://github.com/terrytangyuan)
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- Yuan is a data scientist in Chicago, US. He contributed mostly in R and Python packages.
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Become a Committer
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------------------
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XGBoost is a opensource project and we are actively looking for new committers who are willing to help maintaining and lead the project.
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Committers comes from contributors who:
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* Made substantial contribution to the project.
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* Willing to spent time on maintaining and lead the project.
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New committers will be proposed by current committer members, with support from more than two of current committers.
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List of Contributors
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--------------------
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* [Full List of Contributors](https://github.com/dmlc/xgboost/graphs/contributors)
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- To contributors: please add your name to the list when you submit a patch to the project:)
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* [Kailong Chen](https://github.com/kalenhaha)
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- Kailong is an early contributor of xgboost, he is creator of ranking objectives in xgboost.
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* [Skipper Seabold](https://github.com/jseabold)
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- Skipper is the major contributor to the scikit-learn module of xgboost.
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* [Zygmunt Zając](https://github.com/zygmuntz)
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- Zygmunt is the master behind the early stopping feature frequently used by kagglers.
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* [Ajinkya Kale](https://github.com/ajkl)
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* [Boliang Chen](https://github.com/cblsjtu)
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* [Vadim Khotilovich](https://github.com/khotilov)
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* [Yangqing Men](https://github.com/yanqingmen)
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- Yangqing is the creator of xgboost java package.
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* [Engpeng Yao](https://github.com/yepyao)
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* [Giulio](https://github.com/giuliohome)
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- Giulio is the creator of windows project of xgboost
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* [Jamie Hall](https://github.com/nerdcha)
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- Jamie is the initial creator of xgboost sklearn module.
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* [Yen-Ying Lee](https://github.com/white1033)
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* [Masaaki Horikoshi](https://github.com/sinhrks)
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- Masaaki is the initial creator of xgboost python plotting module.
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* [Hongliang Liu](https://github.com/phunterlau)
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- Hongliang is the maintainer of xgboost python PyPI package for pip installation.
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* [daiyl0320](https://github.com/daiyl0320)
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- daiyl0320 contributed patch to xgboost distributed version more robust, and scales stably on TB scale datasets.
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* [Huayi Zhang](https://github.com/irachex)
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* [Johan Manders](https://github.com/johanmanders)
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* [yoori](https://github.com/yoori)
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* [Mathias Müller](https://github.com/far0n)
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* [Sam Thomson](https://github.com/sammthomson)
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* [ganesh-krishnan](https://github.com/ganesh-krishnan)
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* [Damien Carol](https://github.com/damiencarol)
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* [Alex Bain](https://github.com/convexquad)
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* [Baltazar Bieniek](https://github.com/bbieniek)
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* [Adam Pocock](https://github.com/Craigacp)
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