#' @export
makeRLearner.classif.IBk = function() {
makeRLearnerClassif(
cl = "classif.IBk",
package = "RWeka",
par.set = makeParamSet(
makeLogicalLearnerParam(id = "I", default = FALSE),
makeLogicalLearnerParam(id = "F", default = FALSE),
makeIntegerLearnerParam(id = "K", lower = 1L, default = 1L),
makeLogicalLearnerParam(id = "E", default = FALSE),
makeIntegerLearnerParam(id = "W", lower = 0L),
makeLogicalLearnerParam(id = "X", default = FALSE),
makeUntypedLearnerParam(id = "A", default = "weka.core.neighboursearch.LinearNNSearch"),
makeLogicalLearnerParam(id = "output-debug-info", default = FALSE, tunable = FALSE)
),
properties = c("twoclass", "multiclass", "numerics", "factors", "prob"),
name = "k-Nearest Neighbours",
short.name = "ibk",
callees = c("IBk", "Weka_control")
)
}
#' @export
trainLearner.classif.IBk = function(.learner, .task, .subset, .weights = NULL, ...) {
ctrl = RWeka::Weka_control(...)
RWeka::IBk(getTaskFormula(.task), data = getTaskData(.task, .subset), control = ctrl, na.action = na.pass)
}
#' @export
predictLearner.classif.IBk = function(.learner, .model, .newdata, ...) {
type = switch(.learner$predict.type, prob = "prob", "class")
predict(.model$learner.model, newdata = .newdata, type = type, ...)
}
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