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 |
... | other information to pass to |
constructed dataset
# \dontrun{ 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 /var/folders/xq/wktq4zdx4jd3qdpk34d28m940000gn/T//RtmpqMPu1E/file14527fae2f39.data