Plot model deepness
New function to explore the model by ploting the way splits are done.
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@@ -25,12 +25,12 @@ In particular you may want to override the title of the graph. To do so, add \co
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\examples{
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data(agaricus.train, package='xgboost')
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#Both dataset are list with two items, a sparse matrix and labels
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#(labels = outcome column which will be learned).
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#Both dataset are list with two items, a sparse matrix and labels
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#(labels = outcome column which will be learned).
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#Each column of the sparse Matrix is a feature in one hot encoding format.
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train <- agaricus.train
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bst <- xgboost(data = train$data, label = train$label, max.depth = 2,
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bst <- xgboost(data = train$data, label = train$label, max.depth = 2,
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eta = 1, nthread = 2, nround = 2,objective = "binary:logistic")
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#train$data@Dimnames[[2]] represents the column names of the sparse matrix.
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