| getinfo {gpboost} | R Documentation | 
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   | 
... | 
 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 withgroup = 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))
[Package gpboost version 1.5.1.1 Index]