| lgb.importance {lightgbm} | R Documentation |
Creates a data.table of feature importances in a model.
lgb.importance(model, percentage = TRUE)
model |
object of class |
percentage |
whether to show importance in relative percentage. |
For a tree model, a data.table with the following columns:
Feature Feature names in the model.
Gain The total gain of this feature's splits.
Cover The number of observation related to this feature.
Frequency The number of times a feature splited in trees.
library(lightgbm)
data(agaricus.train, package = "lightgbm")
train <- agaricus.train
dtrain <- lgb.Dataset(train$data, label = train$label)
params <- list(objective = "binary",
learning_rate = 0.01, num_leaves = 63, max_depth = -1,
min_data_in_leaf = 1, min_sum_hessian_in_leaf = 1)
model <- lgb.train(params, dtrain, 20)
model <- lgb.train(params, dtrain, 20)
tree_imp1 <- lgb.importance(model, percentage = TRUE)
tree_imp2 <- lgb.importance(model, percentage = FALSE)