How To Install mlpack-python3 on Fedora 36

In this tutorial we learn how to install mlpack-python3 in Fedora 36. mlpack-python3 is Python 3 bindings for mlpack (C++ machine learning library)

Introduction

In this tutorial we learn how to install mlpack-python3 on Fedora 36.

What is `mlpack-python3`

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 Python bindings for mlpack.

We can use yum or dnf to install mlpack-python3 on Fedora 36. In this tutorial we discuss both methods but you only need to choose one of method to install mlpack-python3.

Install mlpack-python3 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-python3 using dnf by running the following command:

sudo dnf -y install mlpack-python3

Install mlpack-python3 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-python3 using yum by running the following command:

sudo yum -y install mlpack-python3

How To Uninstall mlpack-python3 on Fedora 36

To uninstall only the mlpack-python3 package we can use the following command:

sudo dnf remove mlpack-python3

mlpack-python3 Package Contents on Fedora 36

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/usr/lib64/python3.10/site-packages/mlpack/det.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/emst.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/fastmks.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/gmm_generate.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/gmm_probability.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/gmm_train.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/hmm_generate.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/hmm_loglik.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/hmm_train.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/hmm_viterbi.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/hoeffding_tree.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/image_converter.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/kde.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/kernel_pca.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/kfn.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/kmeans.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/knn.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/krann.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/lars.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/linear_regression.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/linear_svm.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/lmnn.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/local_coordinate_coding.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/logistic_regression.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/lsh.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/matrix_utils.py
/usr/lib64/python3.10/site-packages/mlpack/mean_shift.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/nbc.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/nca.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/nmf.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/pca.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/perceptron.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/preprocess_binarize.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/preprocess_describe.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/preprocess_one_hot_encoding.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/preprocess_scale.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/preprocess_split.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/radical.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/random_forest.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/softmax_regression.cpython-310-x86_64-linux-gnu.so
/usr/lib64/python3.10/site-packages/mlpack/sparse_coding.cpython-310-x86_64-linux-gnu.so

References

mlpack-python3 website

Summary

In this tutorial we learn how to install mlpack-python3 on Fedora 36 using yum and [dnf]((/fedora/36/dnf/).