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These functions complements mlr_filters with a function in the spirit of mlr3::mlr_sugar.

Usage

flt(.key, ...)

flts(.keys, ...)

Arguments

.key

(character(1))
Key passed to the respective dictionary to retrieve the object.

...

(any)
Additional arguments.

.keys

(character())
Keys passed to the respective dictionary to retrieve multiple objects.

Value

Filter.

Examples

flt("correlation", method = "kendall")
#> 
#> ── <FilterCorrelation> correlation: Correlation ────────────────────────────────
#> • Task Types: regr
#> • Properties: missings
#> • Task Properties:
#> • Packages: stats
#> • Feature types: integer and numeric
flts(c("mrmr", "jmim"))
#> $mrmr
#> 
#> ── <FilterMRMR> mrmr: Minimum Redundancy Maximal Relevancy ─────────────────────
#> • Task Types: classif and regr
#> • Properties: -
#> • Task Properties:
#> • Packages: praznik
#> • Feature types: integer, numeric, factor, and ordered
#> 
#> $jmim
#> 
#> ── <FilterJMIM> jmim: Minimal Joint Mutual Information Maximization ────────────
#> • Task Types: classif and regr
#> • Properties: -
#> • Task Properties:
#> • Packages: praznik
#> • Feature types: integer, numeric, factor, and ordered
#>