Get one attribute of a lgb.Dataset

getinfo(dataset, ...)

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

Arguments

dataset

Object of class lgb.Dataset

...

other parameters

name

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

Value

info data

Details

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.

Examples

# \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)) # }