View source: R/measure_distances.R
measure_distances | R Documentation |
measure_distances
uses tree-based distance metrics to calculate
standardized values for pair-wise dissimilarity of trees in a random
forest trained with ranger
.
measure_distances(rf, metric = "splitting variables", test_data = NULL)
rf |
Object of class |
metric |
Specification of the tree metric. Available are "splitting variables", "weighted splitting variables", "terminal nodes" and "prediction". |
test_data |
Additional data set comparable to the data set |
distances |
matrix of size |
Lea Louisa Kronziel, M.Sc.
require(ranger)
require(timbR)
set.seed(12345)
# Train random forest with ranger
rg.iris <- ranger(Species ~ ., data = iris, write.forest=TRUE, num.trees = 10)
#
measure_distances(rf = rg.iris, metric = "splitting variables")
measure_distances(rf = rg.iris, metric = "weighted splitting variables")
measure_distances(rf = rg.iris, metric = "terminal nodes", test_data = iris)
measure_distances(rf = rg.iris, metric = "prediction", test_data = iris)
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