How To Install mlpack_linear_regression on Fedora 34
In this tutorial, we will discuss How To Install mlpack_linear_regression on Fedora 34
yum package managers.
Also, we will demonstrate how to uninstall and update
mlpack_linear_regression as well.
One-liner Install Command
If you are only interested in the installation command, here is a quick answer for you:
or if you use
sudo yum makecache && sudo yum -y install mlpack-bin
sudo dnf makecache && sudo dnf -y install mlpack-bin
But if you are interested in the details with step-by-step instructions, the following information will be helpful.
mlpack_linear_regression and How to Install It?
Short description: intuitive, fast, scalable C++ machine learning library (binaries)
First things first, you will need access to a server or computer running Fedora 34. This guide was written specifically with a server running Fedora 34 in mind, although it should also work on older, supported versions of the operating system.
Also, make sure you are running a regular, non-root user with sudo privileges configured on your server. When you have an account available, log in as your non-root user to begin.
There are several ways to install mlpack_linear_regression on Fedora 34. You can use (links are clickable):
In the following sections, we will describe each method in detail. You can choose one of them or refer to the recommended one.
Install mlpack_linear_regression on Fedora 34 using dnf
First, update dnf packages database with
dnf by running the next command:
sudo dnf makecache --refresh
After updating database,
You can install mlpack_linear_regression using
dnf by running the
sudo dnf -y install mlpack-bin
Install mlpack_linear_regression on Fedora 34 using yum
Because mlpack_linear_regression is available in Fedora 34’s default
it is possible to install it from these repositories using the
To begin, update local packages database with
yum using the following command.
sudo yum makecache --refresh
Now can install mlpack_linear_regression package on your server/computer by running the following command:
sudo yum -y install mlpack-bin
How to upgrade (update) a single package mlpack_linear_regression using yum?
To update all the packages available on the system:
If you want to update a specific package like mlpack_linear_regression in this example you should use the following command:
yum update mlpack-bin
To downgrade a package to an earlier version:
yum downgrade mlpack-bin
How to Upgrade mlpack_linear_regression on Fedora 34 with dnf?
When you run the
dnf update, all system packages with available updates are updated.
However, if you want to upgrade a single package, then you would have to pass the package name as
the argument to the dnf update command.
dnf update mlpack-bin
How To remove mlpack_linear_regression from Fedora 34
To uninstall only the
mlpack_linear_regression package you can execute
sudo dnf remove mlpack-bin
Extra info and code examples
This package contains example binaries using the mlpack Library. Machine Learning Pack (mlpack) is an intuitive, fast, scalable C++ machine learning library, meant to be a machine learning analog to LAPACK. It aims to implement a wide array of machine learning methods and function as a "swiss army knife" for machine learning researchers.
- Maintainer: Debian Science Maintainers
- Sources url: https://www.mlpack.org/
- Section/Category: science
You now have a full guide on how to install
yum package managers.
Also, we showed how to update manually as a single package and different ways to uninstall
the mlpack_linear_regression from Fedora 34.