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# FIXME: parset
#' @export
makeRLearner.classif.lvq1 = function() {
makeRLearnerClassif(
cl = "classif.lvq1",
package = "class",
par.set = makeParamSet(),
properties = c("twoclass", "multiclass", "numerics"),
name = "Learning Vector Quantization",
short.name = "lvq1",
callees = c("lvq1", "lvqinit", "lvqtest")
)
}
#' @export
trainLearner.classif.lvq1 = function(.learner, .task, .subset, .weights = NULL, ...) {
d = getTaskData(.task, .subset, target.extra = TRUE)
cdbk.args = insert(list(), list(...), c("size", "k", "prior"))
cdbk.args$x = d$data
cdbk.args$cl = d$target
codebk = do.call(class::lvqinit, cdbk.args)
lvq.args = insert(list(), list(...), c("niter", "alpha"))
lvq.args$x = d$data
lvq.args$cl = d$target
lvq.args$codebk = codebk
do.call(class::lvq1, lvq.args)
}
#' @export
predictLearner.classif.lvq1 = function(.learner, .model, .newdata, ...) {
class::lvqtest(.model$learner.model, test = .newdata, ...)
}
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