| lgb.Dataset {lightgbm} | R Documentation |
Construct lgb.Dataset object from dense matrix, sparse matrix
or local file (that was created previously by saving an lgb.Dataset).
lgb.Dataset(data, params = list(), reference = NULL, colnames = NULL, categorical_feature = NULL, free_raw_data = TRUE, info = list(), ...)
data |
a |
params |
a list of parameters |
reference |
reference dataset |
colnames |
names of columns |
categorical_feature |
categorical features |
free_raw_data |
TRUE for need to free raw data after construct |
info |
a list of information of the lgb.Dataset object |
... |
other information to pass to |
constructed dataset
library(lightgbm)
data(agaricus.train, package = "lightgbm")
train <- agaricus.train
dtrain <- lgb.Dataset(train$data, label = train$label)
lgb.Dataset.save(dtrain, "lgb.Dataset.data")
dtrain <- lgb.Dataset("lgb.Dataset.data")
lgb.Dataset.construct(dtrain)