refine style with max.depth

R-package/man/xgb.cv.Rd

@@ -15,7 +15,7 @@ xgb.cv(params = list(), data, nrounds, nfold, label = NULL, showsd = TRUE,
     \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{max.depth} maximum depth of the tree
   \item \code{nthread} number of thread used in training, if not set, all threads are used
 }
 
@@ -67,6 +67,6 @@ This function only accepts an \code{xgb.DMatrix} object as the input.
 data(agaricus.train, package='xgboost')
 dtrain <- xgb.DMatrix(agaricus.train$data, label = agaricus.train$label)
 history <- xgb.cv(data = dtrain, nround=3, nfold = 5, metrics=list("rmse","auc"),
-                  "max_depth"=3, "eta"=1, "objective"="binary:logistic")
+                  "max.depth"=3, "eta"=1, "objective"="binary:logistic")
 }