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#' @title Feature Selection with Exhaustive Search
#'
#' @include mlr_fselectors.R
#' @name mlr_fselectors_exhaustive_search
#'
#' @description
#' Feature Selection using the Exhaustive Search Algorithm.
#' Exhaustive Search generates all possible feature sets.
#'
#' @details
#' The feature selection terminates itself when all feature sets are evaluated.
#' It is not necessary to set a termination criterion.
#'
#' @templateVar id exhaustive_search
#' @template section_dictionary_fselectors
#'
#' @section Control Parameters:
#' \describe{
#' \item{`max_features`}{`integer(1)`\cr
#' Maximum number of features.
#' By default, number of features in [mlr3::Task].}
#' }
#'
#' @family FSelector
#' @export
#' @template example
FSelectorExhaustiveSearch = R6Class("FSelectorExhaustiveSearch",
inherit = FSelector,
public = list(
#' @description
#' Creates a new instance of this [R6][R6::R6Class] class.
initialize = function() {
ps = ps(
max_features = p_int(lower = 1)
)
super$initialize(
id = "exhaustive_search",
param_set = ps,
properties = c("single-crit", "multi-crit"),
label = "Exhaustive Search",
man = "mlr3fselect::mlr_fselectors_exhaustive_search")
}
),
private = list(
.optimize = function(inst) {
pars = self$param_set$values
feature_names = inst$archive$cols_x
archive = inst$archive
if (is.null(pars$max_features)) {
pars$max_features = length(feature_names)
}
repeat({
combinations = combn(length(feature_names),
archive$n_batch + 1)
states = map_dtr(seq_len(ncol(combinations)), function(j) {
state = rep(FALSE, length(feature_names))
state[combinations[, j]] = TRUE
set_names(as.list(state), feature_names)
})
inst$eval_batch(states)
if (archive$n_batch == pars$max_features) break
})
}
)
)
mlr_fselectors$add("exhaustive_search", FSelectorExhaustiveSearch)
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