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#' @export
makeRLearner.regr.featureless = function() {
makeRLearnerRegr(
cl = "regr.featureless",
package = "mlr",
par.set = makeParamSet(
makeDiscreteLearnerParam(id = "method", default = "mean", values = c("mean", "median"))
),
properties = c("numerics", "factors", "ordered", "missings", "functionals"),
name = "Featureless regression",
short.name = "featureless"
)
}
#' @export
trainLearner.regr.featureless = function(.learner, .task, .subset, .weights = NULL, method = "mean", ...) {
y = getTaskTargets(.task)
if (!is.null(.subset)) {
y = y[.subset]
}
if (method == "mean") {
response = mean(y)
} else if (method == "median") {
response = median(y)
}
list(response = response)
}
#' @export
predictLearner.regr.featureless = function(.learner, .model, .newdata, ...) {
# extract some shortcuts
n = nrow(.newdata)
mod = getLearnerModel(.model)
return(rep(mod$response, n))
}
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