getinfo | R Documentation |
gpb.Dataset
objectGet one attribute of a gpb.Dataset
getinfo(dataset, ...)
## S3 method for class 'gpb.Dataset'
getinfo(dataset, name, ...)
dataset |
Object of class |
... |
other parameters |
name |
the name of the information field to get (see 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.
info data
info data
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))
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