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 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").

passed dataset

## Examples

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/Rtmp0u5Squ/filed5437ba72.datadtrain <- lgb.Dataset(data_file)
lgb.Dataset.set.categorical(dtrain, 1L:2L)