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add error for data.frame, add weight to xgboost

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2015-09-02 21:43:23 -07:00
parent baa3145817
commit 3d6c831e8a
3 changed files with 18 additions and 10 deletions
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9
R-package/man/xgboost.Rd
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@@ -4,9 +4,10 @@
\alias{xgboost}
\title{eXtreme Gradient Boosting (Tree) library}
\usage{
xgboost(data = NULL, label = NULL, missing = NULL, params = list(),
nrounds, verbose = 1, print.every.n = 1L, early.stop.round = NULL,
maximize = NULL, save_period = 0, save_name = "xgboost.model", ...)
xgboost(data = NULL, label = NULL, missing = NULL, weight = NULL,
params = list(), nrounds, verbose = 1, print.every.n = 1L,
early.stop.round = NULL, maximize = NULL, save_period = 0,
save_name = "xgboost.model", ...)
}
\arguments{
\item{data}{takes \code{matrix}, \code{dgCMatrix}, local data file or
@@ -18,6 +19,8 @@ if data is local data file or \code{xgb.DMatrix}.}
\item{missing}{Missing is only used when input is dense matrix, pick a float
value that represents missing value. Sometimes a data use 0 or other extreme value to represents missing values.}
\item{weight}{a vector indicating the weight for each row of the input.}
\item{params}{the list of parameters.
Commonly used ones are: