Function reference • mlr3filters

Filters

mlr_filters_anova: ANOVA F-Test Filter

mlr_filters_auc: AUC Filter

mlr_filters_carscore: Conditional Mutual Information Based Feature Selection Filter

mlr_filters_cmim: Minimal Conditional Mutual Information Filter

mlr_filters_correlation: Correlation Filter

mlr_filters_disr: Double Input Symmetrical Relevance Filter

mlr_filters_find_correlation: Correlation Filter

mlr_filters_importance: Filter for Embedded Feature Selection via Variable Importance

mlr_filters_information_gain: Information Gain Filter

mlr_filters_jmi: Joint Mutual Information Filter

mlr_filters_jmim: Minimal Joint Mutual Information Maximisation Filter

mlr_filters_kruskal_test: Kruskal-Wallis Test Filter

mlr_filters_mim: Conditional Mutual Information Based Feature Selection Filter

mlr_filters_mrmr: Minimum redundancy maximal relevancy filter

mlr_filters_njmim: Minimal Normalised Joint Mutual Information Maximisation Filter

mlr_filters_performance: Predictive Performance Filter

mlr_filters_permutation: Permutation Filter

mlr_filters_relief: Information Gain Filter

mlr_filters_selected_features: Filter for Embedded Feature Selection

mlr_filters_variance: Variance Filter

General

Filter: Filter Base Class

flt() flts(): Syntactic Sugar for Filter Construction

mlr3filters-package: mlr3filters: Filter Based Feature Selection for 'mlr3'

mlr_filters: Dictionary of Filters