Get one attribute of a lgb.Dataset

getinfo(dataset, ...)

# S3 method for lgb.Dataset
getinfo(dataset, name, ...)



Object of class lgb.Dataset


other parameters


the name of the information field to get (see details)


info data


The name field can be one of the following:

  • label: label lightgbm learn from ;

  • weight: to do a weight rescale ;

  • group: used for learning-to-rank tasks. An integer vector describing how to group rows together as ordered results from the same set of candidate results to be ranked. For example, if you have a 100-document dataset with group = c(10, 20, 40, 10, 10, 10), that means that you have 6 groups, where the first 10 records are in the first group, records 11-30 are in the second group, etc.

  • init_score: initial score is the base prediction lightgbm will boost from.


# \donttest{ data(agaricus.train, package = "lightgbm") train <- agaricus.train dtrain <- lgb.Dataset(train$data, label = train$label) lgb.Dataset.construct(dtrain) labels <- lightgbm::getinfo(dtrain, "label") lightgbm::setinfo(dtrain, "label", 1 - labels) labels2 <- lightgbm::getinfo(dtrain, "label") stopifnot(all(labels2 == 1 - labels)) # }