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Merge branch 'master' of ssh://github.com/tqchen/xgboost

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tqchen 2014-09-01 15:10:29 -07:00
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R-package/DESCRIPTION
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@ -5,13 +5,15 @@ Version: 0.3-0
Date: 2014-08-23 Date: 2014-08-23
Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com> Author: Tianqi Chen <tianqi.tchen@gmail.com>, Tong He <hetong007@gmail.com>
Maintainer: Tong He <hetong007@gmail.com> Maintainer: Tong He <hetong007@gmail.com>
Description: This package is a R wrapper of xgboost, which is short for eXtreme Gradient Boosting. Description: This package is a R wrapper of xgboost, which is short for eXtreme
It is an efficient and scalable implementation of gradient boosting framework. Gradient Boosting. It is an efficient and scalable implementation of
The package includes efficient linear model solver and tree learning algorithm. gradient boosting framework. The package includes efficient linear model
The package can automatically do parallel computation with OpenMP, and it can be solver and tree learning algorithm. The package can automatically do
more than 10 times faster than existing gradient boosting packages such as gbm. parallel computation with OpenMP, and it can be more than 10 times faster
It supports various objective functions, including regression, classification and ranking. than existing gradient boosting packages such as gbm. It supports various
The package is made to be extensible, so that user are also allowed to define there own objectives easily. objective functions, including regression, classification and ranking. The
package is made to be extensible, so that user are also allowed to define
there own objectives easily.
License: Apache License (== 2.0) | file LICENSE License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/tqchen/xgboost URL: https://github.com/tqchen/xgboost
BugReports: https://github.com/tqchen/xgboost/issues BugReports: https://github.com/tqchen/xgboost/issues

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R-package/R/xgb.dump.R
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@ -5,7 +5,7 @@
#' @param model the model object. #' @param model the model object.
#' @param fname the name of the binary file. #' @param fname the name of the binary file.
#' @param fmap feature map file representing the type of feature, to make it #' @param fmap feature map file representing the type of feature, to make it
#' look nice, run demo/demo.R for result and demo/featmap.txt for example #' look nice, run inst/examples/demo.R for result and inst/examples/featmap.txt for example
#' Format: https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model #' Format: https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model
#' #'
#' @examples #' @examples

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R-package/R/xgb.train.R
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@ -15,7 +15,7 @@
#' } #' }
#' #'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for #' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also demo/demo.R for walkthrough example in R. #' further details. See also inst/examples/demo.R for walkthrough example in R.
#' @param dtrain takes an \code{xgb.DMatrix} as the input. #' @param dtrain takes an \code{xgb.DMatrix} as the input.
#' @param nrounds the max number of iterations #' @param nrounds the max number of iterations
#' @param watchlist what information should be printed when \code{verbose=1} or #' @param watchlist what information should be printed when \code{verbose=1} or

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R-package/R/xgboost.R
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@ -19,7 +19,7 @@
#' } #' }
#' #'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for #' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also demo/demo.R for walkthrough example in R. #' further details. See also inst/examples/demo.R for walkthrough example in R.
#' @param nrounds the max number of iterations #' @param nrounds the max number of iterations
#' @param verbose If 0, xgboost will stay silent. If 1, xgboost will print #' @param verbose If 0, xgboost will stay silent. If 1, xgboost will print
#' information of performance. If 2, xgboost will print information of both #' information of performance. If 2, xgboost will print information of both

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R-package/man/xgb.dump.Rd
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@ -11,7 +11,7 @@ xgb.dump(model, fname, fmap = "")
\item{fname}{the name of the binary file.} \item{fname}{the name of the binary file.}
\item{fmap}{feature map file representing the type of feature, to make it \item{fmap}{feature map file representing the type of feature, to make it
look nice, run demo/demo.R for result and demo/featmap.txt for example look nice, run inst/examples/demo.R for result and inst/examples/featmap.txt for example
Format: https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model} Format: https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}
} }
\description{ \description{

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R-package/man/xgb.train.Rd
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@ -20,7 +20,7 @@ xgb.train(params = list(), dtrain, nrounds, watchlist = list(),
} }
See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
further details. See also demo/demo.R for walkthrough example in R.} further details. See also inst/examples/demo.R for walkthrough example in R.}
\item{dtrain}{takes an \code{xgb.DMatrix} as the input.} \item{dtrain}{takes an \code{xgb.DMatrix} as the input.}

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R-package/man/xgboost.Rd
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@ -25,7 +25,7 @@ xgboost(data = NULL, label = NULL, params = list(), nrounds,
} }
See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
further details. See also demo/demo.R for walkthrough example in R.} further details. See also inst/examples/demo.R for walkthrough example in R.}
\item{nrounds}{the max number of iterations} \item{nrounds}{the max number of iterations}