MLHub targets the Ubuntu platform and is implemented in Python3. All of the curated models that are registered with MLHub are tested against Ubuntu LTS (Long Term Support) with a user who has sudo access to the system (e.g., running within a Virtual Machine on the user’s own computer). MLHub can be installed on MacOS and Windows using a virtual machine using VirtualBox or the Windows Subsystem for Linux (WSL). MLHub also runs native on MacOS and Windows though you will need to manually install some dependencies. Many users have reported success on these platforms.
Ubuntu can be installed on almost anything from a Raspberry Pi to a desktop or laptop, running Ubuntu directly, or through a virtual machine, or via the Windows Subsystem for Linux (WSL). GNU/Linux (Ubuntu being a distribution of GNU/Linux) is the most widely deployed operating system on cloud servers and smart devices (Android) The various options for installing Ubuntu are covered in the GNU/Linux Desktop Survival Guide. Once you have Ubuntu installed, particularly on a virtual machine, MLHub is easy.
If you have a new Ubuntu install you might first install
wajig to simplify using Ubuntu. First check if it is
already installed (try typing
wajig into a command terminal). If not
then you will need system administrator privileges to install it using
sudo. You will have these privileges on your own
machine or for Ubuntu in a virtual machine. Otherwise you will need to
ask your system administrator. The latest version of wajig is
available from the PyPI
software repository. Installation of wajig will usually
take less than 5 minutes.
sudo apt update sudo apt upgrade sudo apt install wajig wajig update wajig upgrade wajig install python3-pip pip install wajig
Be sure to log out and log back in after the pip
install so that the system will notice your local installations. This
will refresh the PATH that is used to find applications. On Ubuntu
Pip installs the wajig
~/.local/bin. If the command can not be found then the
following could be useful (but not usually required):
echo 'PATH=~/.local/bin:$PATH' >> ~/.bashrc && source ~/.bashrc
pip install mlhub
Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0