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#' @export
makeRLearner.multilabel.rFerns = function() {
makeRLearnerMultilabel(
cl = "multilabel.rFerns",
package = "rFerns",
par.set = makeParamSet(
makeIntegerLearnerParam(id = "depth", default = 5L),
makeIntegerLearnerParam(id = "ferns", default = 1000L)
),
properties = c("numerics", "factors", "ordered"),
name = "Random ferns",
short.name = "rFerns",
callees = "rFerns"
)
}
#' @export
trainLearner.multilabel.rFerns = function(.learner, .task, .subset, .weights = NULL, ...) {
d = getTaskData(.task, .subset, target.extra = TRUE)
rFerns::rFerns(x = d$data, y = as.matrix(d$target), ...)
}
#' @export
predictLearner.multilabel.rFerns = function(.learner, .model, .newdata, ...) {
as.matrix(predict(.model$learner.model, .newdata, ...))
}
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