lightgbm (version 4.5.0)

lgb.Dataset.set.categorical: Set categorical feature of lgb.Dataset

Description

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

Usage

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

Value

the dataset you passed in

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").

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)
dtrain <- lgb.Dataset(data_file)
lgb.Dataset.set.categorical(dtrain, 1L:2L)
# }