Package: mlr3filters 0.9.1

Marc Becker

mlr3filters: Filter Based Feature Selection for 'mlr3'

Extends 'mlr3' with filter methods for feature selection. Besides standalone filter methods built-in methods of any machine-learning algorithm are supported. Partial scoring of multivariate filter methods is supported.

Authors:Marc Becker [cre, aut], Patrick Schratz [aut], Michel Lang [aut], Bernd Bischl [aut], Martin Binder [aut], John Zobolas [aut]

mlr3filters_0.9.1.tar.gz
mlr3filters_0.9.1.zip(r-4.7)mlr3filters_0.9.1.zip(r-4.6)mlr3filters_0.9.1.zip(r-4.5)
mlr3filters_0.9.1.tgz(r-4.6-any)mlr3filters_0.9.1.tgz(r-4.5-any)
mlr3filters_0.9.1.tar.gz(r-4.7-any)mlr3filters_0.9.1.tar.gz(r-4.6-any)
mlr3filters_0.9.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mlr3filters/json (API)
NEWS

# Install 'mlr3filters' in R:

install.packages('mlr3filters', repos = c('https://mlr-org.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mlr-org/mlr3filters/issues

Pkgdown/docs site:https://mlr3filters.mlr-org.com

On CRAN:

feature-selection filter filters mlr mlr3 variable-importance

8.90 score 21 stars 3 packages 163 scripts 7.4k downloads 28 exports 25 dependencies

Last updated from:c75b53463b (on v0.9.1). Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	250
source / vignettes	OK	234
linux-release-x86_64	OK	224
macos-release-arm64	OK	170
macos-oldrel-arm64	OK	200
windows-devel	OK	163
windows-release	OK	165
windows-oldrel	OK	193
wasm-release	OK	140

Exports:as.data.table Filter FilterAnova FilterAUC FilterBoruta FilterCarScore FilterCarSurvScore FilterCMIM FilterCorrelation FilterDISR FilterFindCorrelation FilterImportance FilterInformationGain FilterJMI FilterJMIM FilterKruskalTest FilterMIM FilterMRMR FilterNJMIM FilterPerformance FilterPermutation FilterRelief FilterSelectedFeatures FilterUnivariateCox FilterVariance flt flts mlr_filters

Dependencies:backports checkmate cli codetools data.table digest evaluate future future.apply globals lgr listenv mirai mlbench mlr3 mlr3measures mlr3misc nanonext palmerpenguins paradox parallelly PRROC R6 rlang uuid

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
mlr3filters: Filter Based Feature Selection for 'mlr3'	mlr3filters-package mlr3filters
Filter Base Class	Filter
Syntactic Sugar for Filter Construction	flt flts
Dictionary of Filters	mlr_filters
ANOVA F-Test Filter	FilterAnova mlr_filters_anova
AUC Filter	FilterAUC mlr_filters_auc
Burota Filter	FilterBoruta mlr_filters_boruta
Correlation-Adjusted Marignal Correlation Score Filter	FilterCarScore mlr_filters_carscore
Correlation-Adjusted Survival Score Filter	FilterCarSurvScore mlr_filters_carsurvscore
Minimal Conditional Mutual Information Maximization Filter	FilterCMIM mlr_filters_cmim
Correlation Filter	FilterCorrelation mlr_filters_correlation
Double Input Symmetrical Relevance Filter	FilterDISR mlr_filters_disr
Correlation Filter	FilterFindCorrelation mlr_filters_find_correlation
Filter for Embedded Feature Selection via Variable Importance	FilterImportance mlr_filters_importance
Information Gain Filter	FilterInformationGain mlr_filters_information_gain
Joint Mutual Information Filter	FilterJMI mlr_filters_jmi
Minimal Joint Mutual Information Maximization Filter	FilterJMIM mlr_filters_jmim
Kruskal-Wallis Test Filter	FilterKruskalTest mlr_filters_kruskal_test
Mutual Information Maximization Filter	FilterMIM mlr_filters_mim
Minimum Redundancy Maximal Relevancy Filter	FilterMRMR mlr_filters_mrmr
Minimal Normalised Joint Mutual Information Maximization Filter	FilterNJMIM mlr_filters_njmim
Predictive Performance Filter	FilterPerformance mlr_filters_performance
Permutation Score Filter	FilterPermutation mlr_filters_permutation
RELIEF Filter	FilterRelief mlr_filters_relief
Filter for Embedded Feature Selection	FilterSelectedFeatures mlr_filters_selected_features
Univariate Cox Survival Filter	FilterUnivariateCox mlr_filters_univariate_cox
Variance Filter	FilterVariance mlr_filters_variance