Other packages > Find by keyword >

mlr3fselect  

Feature Selection for 'mlr3'
View on CRAN: Click here


Download and install mlr3fselect package within the R console
Install from CRAN:
install.packages("mlr3fselect")

Install from Github:
library("remotes")
install_github("cran/mlr3fselect")

Install by package version:
library("remotes")
install_version("mlr3fselect", "1.2.1")



Attach the package and use:
library("mlr3fselect")
Maintained by
Marc Becker
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-23
Latest Update: 2023-03-02
Description:
Feature selection package of the 'mlr3' ecosystem. It selects the optimal feature set for any 'mlr3' learner. The package works with several optimization algorithms e.g. Random Search, Recursive Feature Elimination, and Genetic Search. Moreover, it can automatically optimize learners and estimate the performance of optimized feature sets with nested resampling.
How to cite:
Marc Becker (2020). mlr3fselect: Feature Selection for 'mlr3'. R package version 1.2.1, https://cran.r-project.org/web/packages/mlr3fselect. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.2.0 (2020-08-23 12:40), 0.2.1 (2020-09-10 11:20), 0.3.0 (2020-09-22 17:30), 0.4.0 (2020-10-22 23:20), 0.4.1 (2020-10-30 06:20), 0.5.0 (2021-01-24 15:50), 0.5.1 (2021-03-09 12:00), 0.6.0 (2021-09-13 21:10), 0.6.1 (2022-01-20 17:02), 0.7.0 (2022-04-08 09:12), 0.7.1 (2022-05-03 15:40), 0.7.2 (2022-08-25 12:40), 0.8.0 (2022-11-16 13:10), 0.8.1 (2022-11-27 15:50), 0.9.0 (2022-12-21 15:00), 0.9.1 (2023-01-26 19:20), 0.10.0 (2023-02-21 12:40), 0.11.0 (2023-03-02 12:40), 0.12.0 (2024-03-09 12:30), 1.0.0 (2024-06-29 17:00), 1.1.0 (2024-09-09 21:00), 1.1.1 (2024-10-15 18:40), 1.2.0 (2024-10-25 20:10)
Other packages that cited mlr3fselect R package
View mlr3fselect citation profile
Other R packages that mlr3fselect depends, imports, suggests or enhances
Complete documentation for mlr3fselect
Functions, R codes and Examples using the mlr3fselect R package
Some associated functions: ArchiveFSelect . AutoFSelector . CallbackFSelect . ContextEval . FSelectInstanceMultiCrit . FSelectInstanceSingleCrit . FSelector . FSelectorFromOptimizer . ObjectiveFSelect . auto_fselector . callback_fselect . extract_inner_fselect_archives . extract_inner_fselect_results . fs . fselect . fselect_nested . fsi . mlr3fselect-package . mlr3fselect.backup . mlr3fselect.svm_rfe . mlr_fselectors . mlr_fselectors_design_points . mlr_fselectors_exhaustive_search . mlr_fselectors_genetic_search . mlr_fselectors_random_search . mlr_fselectors_rfe . mlr_fselectors_rfecv . mlr_fselectors_sequential . mlr_fselectors_shadow_variable_search . reexports . 
Some associated R codes: ArchiveFSelect.R . AutoFSelector.R . CallbackFSelect.R . ContextEval.R . FSelectInstanceMultiCrit.R . FSelectInstanceSingleCrit.R . FSelector.R . FSelectorDesignPoints.R . FSelectorExhaustiveSearch.R . FSelectorFromOptimizer.R . FSelectorGeneticSearch.R . FSelectorRFE.R . FSelectorRFECV.R . FSelectorRandomSearch.R . FSelectorSequential.R . FSelectorShadowVariableSearch.R . ObjectiveFSelect.R . assertions.R . auto_fselector.R . bibentries.R . extract_inner_fselect_archives.R . extract_inner_fselect_results.R . fselect.R . fselect_nested.R . helper.R . mlr_callbacks.R . mlr_fselectors.R . reexports.R . sugar.R . zzz.R .  Full mlr3fselect package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA