How to Install and Uninstall r-cran-mlr Package on Ubuntu 21.10 (Impish Indri)

Last updated: May 06,2024

1. Install "r-cran-mlr" package

Please follow the guidelines below to install r-cran-mlr on Ubuntu 21.10 (Impish Indri)


    
        
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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 instructions below to uninstall r-cran-mlr on Ubuntu 21.10 (Impish Indri):


    
        
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                sudo apt remove
            
                        
                r-cran-mlr
            
                    
    
    Copied


    
        
            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
    Copied

3. Information about the r-cran-mlr package on Ubuntu 21.10 (Impish Indri)

Package: r-cran-mlr
Architecture: amd64
Version: 2.18.0+dfsg-1
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: 5763
Depends: r-base-core (>= 4.0.2-1build1), 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_2.18.0+dfsg-1_amd64.deb
Size: 4970852
MD5sum: 47a062fef9c406cd2113d1a9dc38de5b
SHA1: 5c553ac439016ed86b0c9e25fe7d0c4b98163764
SHA256: b36b2912baeae3998b5b807e114e182ea94a03b3611ccb3b159d476840cf5301
SHA512: d38b8420f6472adaae01fb43ee2a67ec71956eaaa22adb2208fa280f1080f0a220c6f18a0532e5fb5c07bfbcf259b60d97a0512dbc15712268c00888652f7a48
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