Set one attribute of a lgb.Dataset

setinfo(dataset, ...)

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

Arguments

dataset

Object of class lgb.Dataset

...

other parameters

name

the name of the field to get

info

the specific field of information to set

Value

passed object

Details

The name field can be one of the following:

  • label: vector of labels to use as the target variable

  • weight: to do a weight rescale

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

  • 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 1000-row dataset that contains 250 4-document query results, set this to rep(4L, 250L)

Examples

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.equal(labels2, 1 - labels))