getinfo: Get information of an 'gpb.Dataset' object

In gpboost: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models

Get information of an gpb.Dataset object

Description

Get one attribute of a gpb.Dataset

Usage

getinfo(dataset, ...)

## S3 method for class 'gpb.Dataset'
getinfo(dataset, name, ...)

Arguments

dataset	Object of class gpb.Dataset
...	other parameters
name	the name of the information field to get (see details)

Details

The name field can be one of the following:

• label: label gpboost 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 gpboost will boost from.

Value

info data

info data

Examples

data(agaricus.train, package = "gpboost")
train <- agaricus.train
dtrain <- gpb.Dataset(train$data, label = train$label)
gpb.Dataset.construct(dtrain)

labels <- gpboost::getinfo(dtrain, "label")
gpboost::setinfo(dtrain, "label", 1 - labels)

labels2 <- gpboost::getinfo(dtrain, "label")
stopifnot(all(labels2 == 1 - labels))

gpboost documentation built on Oct. 24, 2023, 9:09 a.m.