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speed test for R, and refinement of item list in doc

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2014-08-28 22:00:13 -07:00
parent 2e96bc51f5
commit 6ed5d37771
4 changed files with 40 additions and 24 deletions
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16
R-package/R/xgb.train.R
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@@ -3,12 +3,16 @@
#' The training function of xgboost
#'
#' @param params the list of parameters. Commonly used ones are:
#' objective: objective function, common ones are
#' - reg:linear linear regression
#' - binary:logistic logistic regression for classification
#' eta: step size of each boosting step
#' max_depth: maximum depth of the tree
#' nthread: number of thread used in training, if not set, all threads are used
#' \itemize{
#' \item \code{objective} objective function, common ones are
#' \itemize{
#' \item \code{reg:linear} linear regression
#' \item \code{binary:logistic} logistic regression for classification
#' }
#' \item \code{eta} step size of each boosting step
#' \item \code{max_depth} maximum depth of the tree
#' \item \code{nthread} number of thread used in training, if not set, all threads are used
#' }
#'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also demo/demo.R for walkthrough example in R.

16
R-package/R/xgboost.R
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@@ -7,12 +7,16 @@
#' @param label the response variable. User should not set this field,
# if data is local data file or \code{xgb.DMatrix}.
#' @param params the list of parameters. Commonly used ones are:
#' objective: objective function, common ones are
#' - reg:linear linear regression
#' - binary:logistic logistic regression for classification
#' eta: step size of each boosting step
#' max_depth: maximum depth of the tree
#' nthread: number of thread used in training, if not set, all threads are used
#' \itemize{
#' \item \code{objective} objective function, common ones are
#' \itemize{
#' \item \code{reg:linear} linear regression
#' \item \code{binary:logistic} logistic regression for classification
#' }
#' \item \code{eta} step size of each boosting step
#' \item \code{max_depth} maximum depth of the tree
#' \item \code{nthread} number of thread used in training, if not set, all threads are used
#' }
#'
#' See \url{https://github.com/tqchen/xgboost/wiki/Parameters} for
#' further details. See also demo/demo.R for walkthrough example in R.