fix iris to Rd files
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@@ -18,15 +18,16 @@ value of sum of functions, when outputmargin=TRUE, the prediction is
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untransformed margin value. In logistic regression, outputmargin=T will
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output value before logistic transformation.}
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\item{ntreelimit}{limit number of trees used in prediction, this parameter is only valid for gbtree, but not for gblinear.
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set it to be value bigger than 0. It will use all trees by default.}
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\item{ntreelimit}{limit number of trees used in prediction, this parameter is
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only valid for gbtree, but not for gblinear. set it to be value bigger
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than 0. It will use all trees by default.}
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}
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\description{
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Predicted values based on xgboost model object.
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}
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\examples{
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data(iris)
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bst <- xgboost(as.matrix(iris[,1:4]),as.numeric(iris[,5]), nrounds = 2)
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bst <- xgboost(as.matrix(iris[,1:4]),as.numeric(iris[,5]=='setosa'), nrounds = 2)
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pred <- predict(bst, as.matrix(iris[,1:4]))
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}
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