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refine style with max.depth

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hetong
2014-09-06 23:20:11 -07:00
parent 1925321a16
commit 9e3b878943
7 changed files with 11 additions and 11 deletions
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4
R-package/man/xgb.cv.Rd
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@@ -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")
}

4
R-package/man/xgb.train.Rd
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@@ -15,7 +15,7 @@ xgb.train(params = list(), data, nrounds, watchlist = list(), obj = NULL,
\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
}
@@ -62,7 +62,7 @@ data(agaricus.train, package='xgboost')
dtrain <- xgb.DMatrix(agaricus.train$data, label = agaricus.train$label)
dtest <- dtrain
watchlist <- list(eval = dtest, train = dtrain)
param <- list(max_depth = 2, eta = 1, silent = 1)
param <- list(max.depth = 2, eta = 1, silent = 1)
logregobj <- function(preds, dtrain) {
labels <- getinfo(dtrain, "label")
preds <- 1/(1 + exp(-preds))

2
R-package/man/xgboost.Rd
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@@ -20,7 +20,7 @@ xgboost(data = NULL, label = NULL, params = list(), nrounds,
\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
}