Set categorical feature of lgb.Dataset

Set the categorical features of an lgb.Dataset object. Use this function to tell LightGBM which features should be treated as categorical.

lgb.Dataset.set.categorical(dataset, categorical_feature)

Arguments

dataset	object of class lgb.Dataset
categorical_feature	categorical features. This can either be a character vector of feature names or an integer vector with the indices of the features (e.g. c(1L, 10L) to say "the first and tenth columns").

Value

the dataset you passed in

Examples

# \donttest{
setLGBMthreads(2L)
data.table::setDTthreads(1L)
data(agaricus.train, package = "lightgbm")
train <- agaricus.train
dtrain <- lgb.Dataset(train$data, label = train$label)
data_file <- tempfile(fileext = ".data")
lgb.Dataset.save(dtrain, data_file)
#> [LightGBM] [Info] Saving data to binary file /tmp/RtmpsSs5Pu/filefc53c2132f4.data
dtrain <- lgb.Dataset(data_file)
lgb.Dataset.set.categorical(dtrain, 1L:2L)
# }