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add bibliography

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El Potaeto 2015-02-12 17:19:11 +01:00
parent 8a8eb33114
commit 7f71cc12f4
1 changed files with 3 additions and 2 deletions
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R-package/vignettes/xgboostPresentation.Rmd
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@ -5,6 +5,7 @@ output:
css: vignette.css
number_sections: yes
toc: yes
bibliography: xgboost.bib
vignette: >
%\VignetteIndexEntry{Xgboost presentation}
%\VignetteEngine{knitr::rmarkdown}
@ -18,7 +19,7 @@ This is an introductory document of using the \verb@xgboost@ package in **R**.
**Xgboost** is short for e**X**treme **G**radient **B**oosting package.
It is an efficient and scalable implementation of gradient boosting framework by \citep{friedman2001greedy}.
It is an efficient and scalable implementation of gradient boosting framework by @friedman2001greedy.
The package includes efficient linear model solver and tree learning algorithm. It supports various objective functions, including *regression*, *classification* and *ranking*. The package is made to be extendible, so that users are also allowed to define their own objectives easily.
@ -61,7 +62,7 @@ For the purpose of this tutorial we will load the required package.
require(xgboost)
```
In this example, we are aiming to predict whether a mushroom can be eated (yeah, as always, example data are super interesting :-).
In this example, we are aiming to predict whether a mushroom can be eated (yeah, as always, example data are super interesting :-). Mushroom data is cited from UCI Machine Learning Repository. @Bache+Lichman:2013.
Learning
========