gpb.Dataset.create.valid: Construct validation data

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

Construct validation data

Description

Construct validation data according to training data

Usage

gpb.Dataset.create.valid(dataset, data, info = list(), ...)

Arguments

dataset	gpb.Dataset object, training data
data	a matrix object, a dgCMatrix object or a character representing a filename
info	a list of information of the gpb.Dataset object
...	other information to pass to info.

Value

constructed dataset

Examples

data(agaricus.train, package = "gpboost")
train <- agaricus.train
dtrain <- gpb.Dataset(train$data, label = train$label)
data(agaricus.test, package = "gpboost")
test <- agaricus.test
dtest <- gpb.Dataset.create.valid(dtrain, test$data, label = test$label)

gpboost documentation built on Sept. 11, 2024, 7:04 p.m.