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#' @export
makeRLearner.classif.rFerns = function() {
makeRLearnerClassif(
cl = "classif.rFerns",
package = "rFerns",
par.set = makeParamSet(
makeIntegerLearnerParam(id = "depth", default = 5L),
makeIntegerLearnerParam(id = "ferns", default = 1000L),
makeLogicalLearnerParam(id = "importance", default = FALSE, tunable = FALSE),
makeIntegerLearnerParam(id = "reportErrorEvery", default = 0L, lower = 0L, tunable = FALSE),
makeLogicalLearnerParam(id = "saveErrorPropagation", default = FALSE, tunable = FALSE),
makeLogicalLearnerParam(id = "saveForest", default = TRUE, tunable = FALSE)
),
properties = c("numerics", "twoclass", "multiclass", "factors", "ordered", "oobpreds"),
name = "Random ferns",
short.name = "rFerns",
callees = "rFerns"
)
}
#' @export
trainLearner.classif.rFerns = function(.learner, .task, .subset, .weights = NULL, ...) {
d = getTaskData(.task, .subset, target.extra = TRUE)
rFerns::rFerns(x = d$data, y = d$target, ...)
}
#' @export
predictLearner.classif.rFerns = function(.learner, .model, .newdata, ...) {
predict(.model$learner.model, .newdata, ...)
}
#' @export
getOOBPredsLearner.classif.rFerns = function(.learner, .model) {
getLearnerModel(.model, more.unwrap = TRUE)$oobPreds
}
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