View source: R/xgb.plot.tree.R
| xgb.plot.tree | R Documentation | 
Read a tree model text dump and plot the model.
xgb.plot.tree(
  feature_names = NULL,
  model = NULL,
  trees = NULL,
  plot_width = NULL,
  plot_height = NULL,
  render = TRUE,
  show_node_id = FALSE,
  ...
)
feature_names | 
 names of each feature as a   | 
model | 
 produced by the   | 
trees | 
 an integer vector of tree indices that should be visualized.
If set to   | 
plot_width | 
 the width of the diagram in pixels.  | 
plot_height | 
 the height of the diagram in pixels.  | 
render | 
 a logical flag for whether the graph should be rendered (see Value).  | 
show_node_id | 
 a logical flag for whether to show node id's in the graph.  | 
... | 
 currently not used.  | 
The content of each node is organised that way:
Feature name.
Cover: The sum of second order gradient of training data classified to the leaf.
If it is square loss, this simply corresponds to the number of instances seen by a split
or collected by a leaf during training.
The deeper in the tree a node is, the lower this metric will be.
Gain (for split nodes): the information gain metric of a split
(corresponds to the importance of the node in the model).
Value (for leafs): the margin value that the leaf may contribute to prediction.
The tree root nodes also indicate the Tree index (0-based).
The "Yes" branches are marked by the "< split_value" label. The branches that also used for missing values are marked as bold (as in "carrying extra capacity").
This function uses GraphViz as a backend of DiagrammeR.
When render = TRUE:
returns a rendered graph object which is an htmlwidget of class grViz.
Similar to ggplot objects, it needs to be printed to see it when not running from command line.
When render = FALSE:
silently returns a graph object which is of DiagrammeR's class dgr_graph.
This could be useful if one wants to modify some of the graph attributes
before rendering the graph with render_graph.
data(agaricus.train, package='xgboost')
bst <- xgboost(data = agaricus.train$data, label = agaricus.train$label, max_depth = 3,
               eta = 1, nthread = 2, nrounds = 2,objective = "binary:logistic")
# plot all the trees
xgb.plot.tree(model = bst)
# plot only the first tree and display the node ID:
xgb.plot.tree(model = bst, trees = 0, show_node_id = TRUE)
## Not run: 
# Below is an example of how to save this plot to a file.
# Note that for `export_graph` to work, the DiagrammeRsvg and rsvg packages must also be installed.
library(DiagrammeR)
gr <- xgb.plot.tree(model=bst, trees=0:1, render=FALSE)
export_graph(gr, 'tree.pdf', width=1500, height=1900)
export_graph(gr, 'tree.png', width=1500, height=1900)
## End(Not run)
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