Nothing
TEST_MAKE_TSK = function(n = 4L) {
x = set_names(map_dtc(seq(n), function(x) rnorm(100L)), paste0("x", seq(n)))
y = rnorm(100)
TaskRegr$new(id = "mlr3fselect", backend = cbind(x, y), target = "y")
}
TEST_MAKE_INST_1D = function(n = 4L, folds = 2L, store_models = TRUE, store_benchmark_result = TRUE,
measure = msr("dummy"), terminator = trm("evals", n_evals = 10)) {
FSelectInstanceSingleCrit$new(
task = TEST_MAKE_TSK(n),
learner = lrn("regr.rpart"),
resampling = rsmp("cv", folds = folds),
measure = measure,
terminator = terminator,
store_models = store_models,
store_benchmark_result = store_benchmark_result)
}
TEST_MAKE_INST_2D = function(n = 4L, folds = 2L, store_models = FALSE, store_benchmark_result = TRUE) {
FSelectInstanceMultiCrit$new(
task = TEST_MAKE_TSK(n),
learner = lrn("regr.rpart"),
resampling = rsmp("cv", folds = folds),
measures = msrs(c("regr.mse", "regr.rmse")),
terminator = trm("evals", n_evals = 10),
store_models,
store_benchmark_result = store_benchmark_result)
}
MeasureDummy = R6Class("MeasureDummy", inherit = MeasureRegr,
public = list(
initialize = function(score_design = NULL) {
if (is.null(score_design)) {
score_design = data.table(
score = c(1, 2, 4, 3),
features = list("x1", c("x1", "x2"), c("x1", "x2", "x3"), c("x1", "x2", "x3", "x4"))
)
}
private$.score_design = score_design
super$initialize(id = "dummy", range = c(0, 4), minimize = FALSE)
}
),
private = list(
.score = function(prediction, learner, task, ...) {
score = private$.score_design[sapply(get("features"), identical, task$feature_names), score]
if (length(score) == 0) 0 else score
},
.score_design = NULL
)
)
mlr3::mlr_measures$add("dummy", MeasureDummy)
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