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Document more objective parameters in R package (#5682)

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Lorenz Walthert
2020-05-20 08:00:55 +02:00
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parent dd01e4ba8d
commit 60511a3222
4 changed files with 40 additions and 14 deletions
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9
R-package/R/xgb.cv.R
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@@ -2,12 +2,15 @@
#'
#' The cross validation function of xgboost
#'
#' @param params the list of parameters. Commonly used ones are:
#' @param params the list of parameters. The complete list of parameters is
#' available in the \href{http://xgboost.readthedocs.io/en/latest/parameter.html}{online documentation}. Below
#' is a shorter summary:
#' \itemize{
#' \item \code{objective} objective function, common ones are
#' \itemize{
#' \item \code{reg:squarederror} Regression with squared loss
#' \item \code{binary:logistic} logistic regression for classification
#' \item \code{reg:squarederror} Regression with squared loss.
#' \item \code{binary:logistic} logistic regression for classification.
#' \item See \code{\link[=xgb.train]{xgb.train}()} for complete list of objectives.
#' }
#' \item \code{eta} step size of each boosting step
#' \item \code{max_depth} maximum depth of the tree