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update document

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hetong 2015-01-25 10:37:11 -08:00
parent 33101d5cad
commit f75387f701
8 changed files with 18 additions and 12 deletions
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4
R-package/R/predict.xgb.Booster.R
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@ -7,8 +7,8 @@ setClass("xgb.Booster")
#' @param object Object of class "xgb.Boost"
#' @param newdata takes \code{matrix}, \code{dgCMatrix}, local data file or
#' \code{xgb.DMatrix}.
#' @param missing Missing is only used when input is dense matrix, pick a float
# value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' @param missing Missing is only used when input is dense matrix, pick a float
#' value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' @param outputmargin whether the prediction should be shown in the original
#' value of sum of functions, when outputmargin=TRUE, the prediction is
#' untransformed margin value. In logistic regression, outputmargin=T will

2
R-package/R/xgb.DMatrix.R
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@ -6,7 +6,7 @@
#' indicating the data file.
#' @param info a list of information of the xgb.DMatrix object
#' @param missing Missing is only used when input is dense matrix, pick a float
# value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#
#' @param ... other information to pass to \code{info}.
#'

4
R-package/R/xgb.cv.R
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@ -32,7 +32,7 @@
#' @param nfold number of folds used
#' @param label option field, when data is Matrix
#' @param missing Missing is only used when input is dense matrix, pick a float
# value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' @param prediction A logical value indicating whether to return the prediction vector.
#' @param showsd \code{boolean}, whether show standard deviation of cross validation
#' @param metrics, list of evaluation metrics to be used in corss validation,
@ -134,4 +134,4 @@ xgb.cv <- function(params=list(), data, nrounds, nfold, label = NULL, missing =
# Avoid error messages during CRAN check.
# The reason is that these variables are never declared
# They are mainly column names inferred by Data.table...
globalVariables(".")
globalVariables(".")

5
R-package/R/xgboost.R
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@ -5,7 +5,7 @@
#' @param data takes \code{matrix}, \code{dgCMatrix}, local data file or
#' \code{xgb.DMatrix}.
#' @param label the response variable. User should not set this field,
# if data is local data file or \code{xgb.DMatrix}.
#' if data is local data file or \code{xgb.DMatrix}.
#' @param params the list of parameters. Commonly used ones are:
#' \itemize{
#' \item \code{objective} objective function, common ones are
@ -24,7 +24,8 @@
#' @param verbose If 0, xgboost will stay silent. If 1, xgboost will print
#' information of performance. If 2, xgboost will print information of both
#' performance and construction progress information
#' @param missing Missing is only used when input is dense matrix, pick a float value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' @param missing Missing is only used when input is dense matrix, pick a float
#' value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.
#' @param ... other parameters to pass to \code{params}.
#'
#' @details

3
R-package/man/predict-xgb.Booster-method.Rd
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@ -13,7 +13,8 @@
\item{newdata}{takes \code{matrix}, \code{dgCMatrix}, local data file or
\code{xgb.DMatrix}.}
\item{missing}{Missing is only used when input is dense matrix, pick a float}
\item{missing}{Missing is only used when input is dense matrix, pick a float
value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
\item{outputmargin}{whether the prediction should be shown in the original
value of sum of functions, when outputmargin=TRUE, the prediction is

3
R-package/man/xgb.DMatrix.Rd
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@ -11,7 +11,8 @@ indicating the data file.}
\item{info}{a list of information of the xgb.DMatrix object}
\item{missing}{Missing is only used when input is dense matrix, pick a float}
\item{missing}{Missing is only used when input is dense matrix, pick a float
value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
\item{...}{other information to pass to \code{info}.}
}

3
R-package/man/xgb.cv.Rd
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@ -31,7 +31,8 @@ xgb.cv(params = list(), data, nrounds, nfold, label = NULL,
\item{label}{option field, when data is Matrix}
\item{missing}{Missing is only used when input is dense matrix, pick a float}
\item{missing}{Missing is only used when input is dense matrix, pick a float
value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
\item{prediction}{A logical value indicating whether to return the prediction vector.}

6
R-package/man/xgboost.Rd
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@ -10,7 +10,8 @@ xgboost(data = NULL, label = NULL, missing = NULL, params = list(),
\item{data}{takes \code{matrix}, \code{dgCMatrix}, local data file or
\code{xgb.DMatrix}.}
\item{label}{the response variable. User should not set this field,}
\item{label}{the response variable. User should not set this field,
if data is local data file or \code{xgb.DMatrix}.}
\item{params}{the list of parameters. Commonly used ones are:
\itemize{
@ -33,7 +34,8 @@ xgboost(data = NULL, label = NULL, missing = NULL, params = list(),
information of performance. If 2, xgboost will print information of both
performance and construction progress information}
\item{missing}{Missing is only used when input is dense matrix, pick a float value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
\item{missing}{Missing is only used when input is dense matrix, pick a float
value that represents missing value. Sometime a data use 0 or other extreme value to represents missing values.}
\item{...}{other parameters to pass to \code{params}.}
}