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

In lightgbm: Light Gradient Boosting Machine

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)

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

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)

lightgbm documentation built on Jan. 17, 2023, 1:13 a.m.