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Fixing a few typos (#1771)

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* Fixing a few typos

* Fixing a few typos
This commit is contained in:
Simon DENEL
2016-11-14 00:47:52 +01:00
committed by Tianqi Chen
parent b9a9d2bf45
commit 58aa1129ea
13 changed files with 32 additions and 32 deletions
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6
R-package/R/xgb.Booster.R
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@@ -87,8 +87,8 @@ xgb.Booster.check <- function(bst, saveraw = TRUE) {
#' @param ... Parameters passed to \code{predict.xgb.Booster}
#'
#' @details
#' Note that \code{ntreelimit} is not necesserily equal to the number of boosting iterations
#' and it is not necesserily equal to the number of trees in a model.
#' Note that \code{ntreelimit} is not necessarily equal to the number of boosting iterations
#' and it is not necessarily equal to the number of trees in a model.
#' E.g., in a random forest-like model, \code{ntreelimit} would limit the number of trees.
#' But for multiclass classification, there are multiple trees per iteration,
#' but \code{ntreelimit} limits the number of boosting iterations.
@@ -242,7 +242,7 @@ predict.xgb.Booster.handle <- function(object, ...) {
#' (from R or any other interface).
#' In contrast, any R-attribute assigned to an R-object of \code{xgb.Booster} class
#' would not be saved by \code{xgb.save} because an xgboost model is an external memory object
#' and its serialization is handled extrnally.
#' and its serialization is handled externally.
#' Also, setting an attribute that has the same name as one of xgboost's parameters wouldn't
#' change the value of that parameter for a model.
#' Use \code{\link{xgb.parameters<-}} to set or change model parameters.