A simple Dictionary storing objects of class Filter.
Each Filter has an associated help page, see mlr_filters_[id].
This dictionary can get populated with additional filters by add-on packages.
For a more convenient way to retrieve and construct filters, see flt().
See also
Other Filter:
Filter,
mlr_filters_anova,
mlr_filters_auc,
mlr_filters_carscore,
mlr_filters_cmim,
mlr_filters_correlation,
mlr_filters_disr,
mlr_filters_find_correlation,
mlr_filters_importance,
mlr_filters_information_gain,
mlr_filters_jmim,
mlr_filters_jmi,
mlr_filters_kruskal_test,
mlr_filters_mim,
mlr_filters_mrmr,
mlr_filters_njmim,
mlr_filters_performance,
mlr_filters_permutation,
mlr_filters_relief,
mlr_filters_selected_features,
mlr_filters_variance
Examples
mlr_filters$keys()
#> [1] "anova" "auc" "carscore"
#> [4] "cmim" "correlation" "disr"
#> [7] "find_correlation" "importance" "information_gain"
#> [10] "jmi" "jmim" "kruskal_test"
#> [13] "mim" "mrmr" "njmim"
#> [16] "performance" "permutation" "relief"
#> [19] "selected_features" "variance"
as.data.table(mlr_filters)
#> key task_type task_properties param_set
#> 1: anova classif <ParamSet[42]>
#> 2: auc classif twoclass <ParamSet[42]>
#> 3: carscore regr <ParamSet[42]>
#> 4: cmim classif,regr <ParamSet[42]>
#> 5: correlation regr <ParamSet[42]>
#> 6: disr classif,regr <ParamSet[42]>
#> 7: find_correlation classif,regr <ParamSet[42]>
#> 8: importance classif <ParamSet[42]>
#> 9: information_gain classif,regr <ParamSet[42]>
#> 10: jmi classif,regr <ParamSet[42]>
#> 11: jmim classif,regr <ParamSet[42]>
#> 12: kruskal_test classif <ParamSet[42]>
#> 13: mim classif,regr <ParamSet[42]>
#> 14: mrmr classif,regr <ParamSet[42]>
#> 15: njmim classif,regr <ParamSet[42]>
#> 16: performance classif <ParamSet[42]>
#> 17: permutation classif <ParamSet[42]>
#> 18: relief classif,regr <ParamSet[42]>
#> 19: selected_features classif <ParamSet[42]>
#> 20: variance NA <ParamSet[42]>
#> feature_types packages
#> 1: integer,numeric mlr3filters,stats
#> 2: integer,numeric mlr3filters,mlr3measures
#> 3: numeric mlr3filters,care
#> 4: integer,numeric,factor,ordered mlr3filters,praznik
#> 5: integer,numeric mlr3filters,stats
#> 6: integer,numeric,factor,ordered mlr3filters,praznik
#> 7: integer,numeric mlr3filters,stats
#> 8: logical,integer,numeric,factor,ordered mlr3filters,mlr3,rpart
#> 9: integer,numeric,factor,ordered mlr3filters,FSelectorRcpp
#> 10: integer,numeric,factor,ordered mlr3filters,praznik
#> 11: integer,numeric,factor,ordered mlr3filters,praznik
#> 12: integer,numeric mlr3filters,stats
#> 13: integer,numeric,factor,ordered mlr3filters,praznik
#> 14: integer,numeric,factor,ordered mlr3filters,praznik
#> 15: integer,numeric,factor,ordered mlr3filters,praznik
#> 16: logical,integer,numeric,factor,ordered mlr3filters,mlr3,rpart,mlr3measures
#> 17: logical,integer,numeric,factor,ordered mlr3filters,mlr3,rpart,mlr3measures
#> 18: integer,numeric,factor,ordered mlr3filters,FSelectorRcpp
#> 19: logical,integer,numeric,factor,ordered mlr3filters,mlr3,rpart
#> 20: integer,numeric mlr3filters,stats
mlr_filters$get("mim")
#> <FilterMIM:mim>
#> Task Types: classif, regr
#> Task Properties: -
#> Packages: mlr3filters, praznik
#> Feature types: integer, numeric, factor, ordered
flt("anova")
#> <FilterAnova:anova>
#> Task Types: classif
#> Task Properties: -
#> Packages: mlr3filters, stats
#> Feature types: integer, numeric