change location and template of vignette
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\documentclass{article}
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\usepackage{natbib}
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\usepackage{graphics}
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\usepackage{amsmath}
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\RequirePackage{url}
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\usepackage{hyperref}
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\usepackage{indentfirst}
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\usepackage[utf8]{inputenc}
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\RequirePackage{amsmath}
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\RequirePackage{natbib}
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\RequirePackage[a4paper,lmargin={1.25in},rmargin={1.25in},tmargin={1in},bmargin={1in}]{geometry}
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% \VignetteIndexEntry{xgboost}
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\makeatletter
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% \VignetteIndexEntry{xgboost: eXtreme Gradient Boosting}
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%\VignetteKeywords{xgboost, gbm, gradient boosting machines}
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%\VignettePackage{xgboost}
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% \VignetteEngine{knitr::knitr}
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\makeatother
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\begin{document}
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%\SweaveOpts{concordance=TRUE}
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<<foo,include=FALSE,echo=FALSE>>=
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options(keep.source = TRUE, width = 60)
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foo <- packageDescription("xgboost")
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<<knitropts,echo=FALSE,message=FALSE>>=
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if (require('knitr')) opts_chunk$set(fig.width = 5, fig.height = 5, fig.align = 'center', tidy = FALSE, warning = FALSE, cache = TRUE)
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@
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\title{xgboost Package Example (Version \Sexpr{foo$Version})}
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\author{Tong He}
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\maketitle
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%
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<<prelim,echo=FALSE>>=
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xgboost.version = '0.3-0'
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@
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%
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\begin{center}
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\vspace*{6\baselineskip}
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\rule{\textwidth}{1.6pt}\vspace*{-\baselineskip}\vspace*{2pt}
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\rule{\textwidth}{0.4pt}\\[2\baselineskip]
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{\LARGE \textbf{xgboost: eXtreme Gradient Boosting}}\\[1.2\baselineskip]
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\rule{\textwidth}{0.4pt}\vspace*{-\baselineskip}\vspace{3.2pt}
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\rule{\textwidth}{1.6pt}\\[2\baselineskip]
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{\Large Tianqi Chen, Tong He}\\[\baselineskip]
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{\large Package Version: \Sexpr{xgboost.version}}\\[\baselineskip]
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{\large \today}\par
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\vfill
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\begin{figure}[h]
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\centering
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\includegraphics[width=0.4\textwidth]{fig/sfu-logo.pdf}
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\end{figure}
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\end{center}
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\thispagestyle{empty}
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\clearpage
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\setcounter{page}{1}
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\section{Introduction}
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This is an introductory document of using the \verb@xgboost@ package in R.
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\verb@xgboost@ is short for eXtreme Gradient Boosting package. It is an efficient
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and scalable implementation of gradient boosting framework by \cite{gbm}.
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and scalable implementation of gradient boosting framework by \citep{friedman2001greedy}.
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The package includes efficient linear model solver and tree learning algorithm.
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It supports various objective functions, including regression, classification
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and ranking. The package is made to be extendible, so that user are also allowed
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@ -49,6 +77,7 @@ to define there own objectives easily. It has several features:
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datasets.}
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\end{enumerate}
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\section{Example with iris}
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In this section, we will illustrate some common usage of \verb@xgboost@.
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@ -183,20 +212,8 @@ single model. This results stands in the
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\href{http://www.kaggle.com/c/higgs-boson/leaderboard}{top 30\%} of the
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competition.
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\begin{thebibliography}{}
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\bibitem[Friedman et al.(2001)Friedman, Jerome H.]{gbm}
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Friedman, Jerome H. (2001).
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\newblock Greedy function approximation: a gradient boosting machine.
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\newblock In \emph{ Annals of Statistics} (2001): 1189-1232.
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\bibitem[Friedman(2000)]{logitboost}
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Friedman, Jerome, Trevor Hastie, and Robert Tibshirani. (2000).
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\newblock Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors).
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\newblock \emph{The annals of statistics} 28.2 (2000):337-407.
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\end{thebibliography}
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\bibliographystyle{jss}
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\nocite{*} % list uncited references
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\bibliography{xgboost}
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\end{document}
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20
R-package/vignettes/xgboost.bib
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20
R-package/vignettes/xgboost.bib
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@ -0,0 +1,20 @@
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@article{friedman2001greedy,
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title={Greedy function approximation: a gradient boosting machine},
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author={Friedman, Jerome H},
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journal={Annals of Statistics},
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pages={1189--1232},
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year={2001},
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publisher={JSTOR}
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}
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@article{friedman2000additive,
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title={Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors)},
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author={Friedman, Jerome and Hastie, Trevor and Tibshirani, Robert and others},
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journal={The annals of statistics},
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volume={28},
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number={2},
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pages={337--407},
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year={2000},
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publisher={Institute of Mathematical Statistics}
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}
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