How to Install and Uninstall r-cran-mlr Package on Ubuntu 20.10 (Groovy Gorilla)

Last updated: May 06,2024

1. Install "r-cran-mlr" package

Here is a brief guide to show you how to install r-cran-mlr on Ubuntu 20.10 (Groovy Gorilla)


    
        
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                sudo apt update
            
                    
    
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            $
        

        
            
                sudo apt install
            
                        
                r-cran-mlr
            
                    
    
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2. Uninstall "r-cran-mlr" package

Please follow the guidelines below to uninstall r-cran-mlr on Ubuntu 20.10 (Groovy Gorilla):


    
        
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                sudo apt remove
            
                        
                r-cran-mlr
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the r-cran-mlr package on Ubuntu 20.10 (Groovy Gorilla)

Package: r-cran-mlr
Architecture: amd64
Version: 2.17.1+dfsg-1build1
Priority: optional
Section: universe/gnu-r
Origin: Ubuntu
Maintainer: Ubuntu Developers
Original-Maintainer: Debian R Packages Maintainers
Bugs: https://bugs.launchpad.net/ubuntu/+filebug
Installed-Size: 5756
Depends: r-base-core (>= 4.0.0.20200528-1), r-api-4.0, r-cran-paramhelpers (>= 1.10), r-cran-backports (>= 1.1.0), r-cran-bbmisc (>= 1.11), r-cran-checkmate (>= 1.8.2), r-cran-data.table (>= 1.12.4), r-cran-ggplot2, r-cran-parallelmap (>= 1.3), r-cran-stringi, r-cran-survival, r-cran-xml
Recommends: r-cran-testthat, r-cran-mlbench
Suggests: r-cran-batchtools, r-cran-caret (>= 6.0-57), r-cran-class, r-cran-clue, r-cran-cluster, r-cran-cowplot, r-cran-discriminer, r-cran-e1071, r-cran-earth, r-cran-emoa, r-cran-fnn, r-cran-forecast (>= 8.3), r-cran-fpc, r-cran-gbm, r-cran-ggpubr, r-cran-glmnet, r-cran-hmisc, r-cran-irace (>= 2.0), r-cran-kernlab, r-cran-knitr, r-cran-mass, r-cran-mda, r-cran-memoise, r-cran-modeltools, r-cran-nnet, r-cran-numderiv, r-cran-party, r-cran-pls, r-cran-randomforest, r-cran-ranger (>= 0.8.0), r-cran-rappdirs, r-cran-rex, r-cran-rgenoud, r-cran-rmarkdown, r-cran-rocr, r-cran-rpart, r-cran-sf, r-cran-svglite, r-cran-tgp, r-cran-th.data, r-cran-tidyr, r-cran-vdiffr
Filename: pool/universe/r/r-cran-mlr/r-cran-mlr_2.17.1+dfsg-1build1_amd64.deb
Size: 4959712
MD5sum: baf8d0530f35c4ea3d20e286e6abffdf
SHA1: 6c85e1342c04d64d2a62b1012e5a1549711f0470
SHA256: 96ac63a80ef52340fdf226088806cf3b2b2904074fe1f24c0b03e1b0252a4cda
SHA512: fd3d6f932f294bd94948a76167c7622a084a35dc2f2390f466ef8c3508d8f529802a521dfef8b1d41ebc5fac5b6b92eb340869487a7d6d7bc95363b1e762af6a
Homepage: https://cran.r-project.org/package=mlr
Description-en: Machine learning in GNU R
Interface to a large number of classification and regression
techniques, including machine-readable parameter descriptions. There is
also an experimental extension for survival analysis, clustering and
general, example-specific cost-sensitive learning. Generic resampling,
including cross-validation, bootstrapping and subsampling. Hyperparameter
tuning with modern optimization techniques, for single- and multi-objective
problems. Filter and wrapper methods for feature selection. Extension of
basic learners with additional operations common in machine learning, also
allowing for easy nested resampling. Most operations can be parallelized.
Description-md5: 37a79fb96ae8929a158660e83bb75e8c