documentation update

R-package/man/predict-xgb.Booster-method.Rd

@@ -6,7 +6,7 @@
 \title{Predict method for eXtreme Gradient Boosting model}
 \usage{
 \S4method{predict}{xgb.Booster}(object, newdata, missing = NULL,
-  outputmargin = FALSE, ntreelimit = NULL)
+  outputmargin = FALSE, ntreelimit = NULL, predleaf = FALSE)
 }
 \arguments{
 \item{object}{Object of class "xgb.Boost"}
@@ -14,6 +14,8 @@
 \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{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
@@ -22,6 +24,8 @@ output value before logistic transformation.}
 \item{ntreelimit}{limit number of trees used in prediction, this parameter is
 only valid for gbtree, but not for gblinear. set it to be value bigger
 than 0. It will use all trees by default.}
+
+\item{predleaf}{whether predict leaf index instead. If set to TRUE, the output will be a matrix object.}
 }
 \description{
 Predicted values based on xgboost model object.