How To Install mlpack-bin on Fedora 36

In this tutorial we learn how to install mlpack-bin in Fedora 36. mlpack-bin is Command-line executables for mlpack (machine learning library)

Introduction

In this tutorial we learn how to install mlpack-bin on Fedora 36.

What is `mlpack-bin`

mlpack is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and maximum flexibility for expert users. mlpack outperforms competing machine learning libraries by large margins. This package provides the command-line executables which run mlpack methods and related documentation.

We can use yum or dnf to install mlpack-bin on Fedora 36. In this tutorial we discuss both methods but you only need to choose one of method to install mlpack-bin.

Install mlpack-bin on Fedora 36 Using dnf

Update yum database with dnf using the following command.

sudo dnf makecache --refresh

After updating yum database, We can install mlpack-bin using dnf by running the following command:

sudo dnf -y install mlpack-bin

Install mlpack-bin on Fedora 36 Using yum

Update yum database with yum using the following command.

sudo yum makecache --refresh

After updating yum database, We can install mlpack-bin using yum by running the following command:

sudo yum -y install mlpack-bin

How To Uninstall mlpack-bin on Fedora 36

To uninstall only the mlpack-bin package we can use the following command:

sudo dnf remove mlpack-bin

mlpack-bin Package Contents on Fedora 36

/usr/bin/mlpack_adaboost
/usr/bin/mlpack_approx_kfn
/usr/bin/mlpack_bayesian_linear_regression
/usr/bin/mlpack_cf
/usr/bin/mlpack_dbscan
/usr/bin/mlpack_decision_stump
/usr/bin/mlpack_decision_tree
/usr/bin/mlpack_det
/usr/bin/mlpack_emst
/usr/bin/mlpack_fastmks
/usr/bin/mlpack_gmm_generate
/usr/bin/mlpack_gmm_probability
/usr/bin/mlpack_gmm_train
/usr/bin/mlpack_hmm_generate
/usr/bin/mlpack_hmm_loglik
/usr/bin/mlpack_hmm_train
/usr/bin/mlpack_hmm_viterbi
/usr/bin/mlpack_hoeffding_tree
/usr/bin/mlpack_image_converter
/usr/bin/mlpack_kde
/usr/bin/mlpack_kernel_pca
/usr/bin/mlpack_kfn
/usr/bin/mlpack_kmeans
/usr/bin/mlpack_knn
/usr/bin/mlpack_krann
/usr/bin/mlpack_lars
/usr/bin/mlpack_linear_regression
/usr/bin/mlpack_linear_svm
/usr/bin/mlpack_lmnn
/usr/bin/mlpack_local_coordinate_coding
/usr/bin/mlpack_logistic_regression
/usr/bin/mlpack_lsh
/usr/bin/mlpack_mean_shift
/usr/bin/mlpack_nbc
/usr/bin/mlpack_nca
/usr/bin/mlpack_nmf
/usr/bin/mlpack_pca
/usr/bin/mlpack_perceptron
/usr/bin/mlpack_preprocess_binarize
/usr/bin/mlpack_preprocess_describe
/usr/bin/mlpack_preprocess_imputer
/usr/bin/mlpack_preprocess_one_hot_encoding
/usr/bin/mlpack_preprocess_scale
/usr/bin/mlpack_preprocess_split
/usr/bin/mlpack_radical
/usr/bin/mlpack_random_forest
/usr/bin/mlpack_range_search
/usr/bin/mlpack_softmax_regression
/usr/bin/mlpack_sparse_coding
/usr/lib/.build-id
/usr/lib/.build-id/01
/usr/lib/.build-id/01/73cc73f1767fa2b1482d3770221d6472b556c7
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/usr/share/man/mlpack_approx_kfn.1
/usr/share/man/mlpack_bayesian_linear_regression.1
/usr/share/man/mlpack_cf.1
/usr/share/man/mlpack_dbscan.1
/usr/share/man/mlpack_decision_stump.1
/usr/share/man/mlpack_decision_tree.1
/usr/share/man/mlpack_det.1
/usr/share/man/mlpack_emst.1
/usr/share/man/mlpack_fastmks.1
/usr/share/man/mlpack_gmm_generate.1
/usr/share/man/mlpack_gmm_probability.1
/usr/share/man/mlpack_gmm_train.1
/usr/share/man/mlpack_hmm_generate.1
/usr/share/man/mlpack_hmm_loglik.1
/usr/share/man/mlpack_hmm_train.1
/usr/share/man/mlpack_hmm_viterbi.1
/usr/share/man/mlpack_hoeffding_tree.1
/usr/share/man/mlpack_image_converter.1
/usr/share/man/mlpack_kde.1
/usr/share/man/mlpack_kernel_pca.1
/usr/share/man/mlpack_kfn.1
/usr/share/man/mlpack_kmeans.1
/usr/share/man/mlpack_knn.1
/usr/share/man/mlpack_krann.1
/usr/share/man/mlpack_lars.1
/usr/share/man/mlpack_linear_regression.1
/usr/share/man/mlpack_linear_svm.1
/usr/share/man/mlpack_lmnn.1
/usr/share/man/mlpack_local_coordinate_coding.1
/usr/share/man/mlpack_logistic_regression.1
/usr/share/man/mlpack_lsh.1
/usr/share/man/mlpack_mean_shift.1
/usr/share/man/mlpack_nbc.1
/usr/share/man/mlpack_nca.1
/usr/share/man/mlpack_nmf.1
/usr/share/man/mlpack_pca.1
/usr/share/man/mlpack_perceptron.1
/usr/share/man/mlpack_preprocess_binarize.1
/usr/share/man/mlpack_preprocess_describe.1
/usr/share/man/mlpack_preprocess_imputer.1
/usr/share/man/mlpack_preprocess_one_hot_encoding.1
/usr/share/man/mlpack_preprocess_scale.1
/usr/share/man/mlpack_preprocess_split.1
/usr/share/man/mlpack_radical.1
/usr/share/man/mlpack_random_forest.1
/usr/share/man/mlpack_range_search.1
/usr/share/man/mlpack_softmax_regression.1
/usr/share/man/mlpack_sparse_coding.1
/usr/bin/mlpack_adaboost
/usr/bin/mlpack_approx_kfn
/usr/bin/mlpack_bayesian_linear_regression
/usr/bin/mlpack_cf
/usr/bin/mlpack_dbscan
/usr/bin/mlpack_decision_stump
/usr/bin/mlpack_decision_tree
/usr/bin/mlpack_det
/usr/bin/mlpack_emst
/usr/bin/mlpack_fastmks
/usr/bin/mlpack_gmm_generate
/usr/bin/mlpack_gmm_probability
/usr/bin/mlpack_gmm_train
/usr/bin/mlpack_hmm_generate
/usr/bin/mlpack_hmm_loglik
/usr/bin/mlpack_hmm_train
/usr/bin/mlpack_hmm_viterbi
/usr/bin/mlpack_hoeffding_tree
/usr/bin/mlpack_image_converter
/usr/bin/mlpack_kde
/usr/bin/mlpack_kernel_pca
/usr/bin/mlpack_kfn
/usr/bin/mlpack_kmeans
/usr/bin/mlpack_knn
/usr/bin/mlpack_krann
/usr/bin/mlpack_lars
/usr/bin/mlpack_linear_regression
/usr/bin/mlpack_linear_svm
/usr/bin/mlpack_lmnn
/usr/bin/mlpack_local_coordinate_coding
/usr/bin/mlpack_logistic_regression
/usr/bin/mlpack_lsh
/usr/bin/mlpack_mean_shift
/usr/bin/mlpack_nbc
/usr/bin/mlpack_nca
/usr/bin/mlpack_nmf
/usr/bin/mlpack_pca
/usr/bin/mlpack_perceptron
/usr/bin/mlpack_preprocess_binarize
/usr/bin/mlpack_preprocess_describe
/usr/bin/mlpack_preprocess_imputer
/usr/bin/mlpack_preprocess_one_hot_encoding
/usr/bin/mlpack_preprocess_scale
/usr/bin/mlpack_preprocess_split
/usr/bin/mlpack_radical
/usr/bin/mlpack_random_forest
/usr/bin/mlpack_range_search
/usr/bin/mlpack_softmax_regression
/usr/bin/mlpack_sparse_coding
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/usr/share/man/mlpack_cf.1
/usr/share/man/mlpack_dbscan.1
/usr/share/man/mlpack_decision_stump.1
/usr/share/man/mlpack_decision_tree.1
/usr/share/man/mlpack_det.1
/usr/share/man/mlpack_emst.1
/usr/share/man/mlpack_fastmks.1
/usr/share/man/mlpack_gmm_generate.1
/usr/share/man/mlpack_gmm_probability.1
/usr/share/man/mlpack_gmm_train.1
/usr/share/man/mlpack_hmm_generate.1
/usr/share/man/mlpack_hmm_loglik.1
/usr/share/man/mlpack_hmm_train.1
/usr/share/man/mlpack_hmm_viterbi.1
/usr/share/man/mlpack_hoeffding_tree.1
/usr/share/man/mlpack_image_converter.1
/usr/share/man/mlpack_kde.1
/usr/share/man/mlpack_kernel_pca.1
/usr/share/man/mlpack_kfn.1
/usr/share/man/mlpack_kmeans.1
/usr/share/man/mlpack_knn.1
/usr/share/man/mlpack_krann.1
/usr/share/man/mlpack_lars.1
/usr/share/man/mlpack_linear_regression.1
/usr/share/man/mlpack_linear_svm.1
/usr/share/man/mlpack_lmnn.1
/usr/share/man/mlpack_local_coordinate_coding.1
/usr/share/man/mlpack_logistic_regression.1
/usr/share/man/mlpack_lsh.1
/usr/share/man/mlpack_mean_shift.1
/usr/share/man/mlpack_nbc.1
/usr/share/man/mlpack_nca.1
/usr/share/man/mlpack_nmf.1
/usr/share/man/mlpack_pca.1
/usr/share/man/mlpack_perceptron.1
/usr/share/man/mlpack_preprocess_binarize.1
/usr/share/man/mlpack_preprocess_describe.1
/usr/share/man/mlpack_preprocess_imputer.1
/usr/share/man/mlpack_preprocess_one_hot_encoding.1
/usr/share/man/mlpack_preprocess_scale.1
/usr/share/man/mlpack_preprocess_split.1
/usr/share/man/mlpack_radical.1
/usr/share/man/mlpack_random_forest.1
/usr/share/man/mlpack_range_search.1
/usr/share/man/mlpack_softmax_regression.1
/usr/share/man/mlpack_sparse_coding.1

References

mlpack-bin website

Summary

In this tutorial we learn how to install mlpack-bin on Fedora 36 using yum and [dnf]((/fedora/36/dnf/).