GNU/Linux Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Advocacy History Distributions Installing GNU/Linux Basic Survival Wajig Applications AI, Machine Learning, Data Science Android - GNU/Linux Devices Audio Backup Booting CD Chinese ChRoot Clock Command Line Databases DIA Directories Disks EcoSysL Emacs Email Evolution Files File Systems Firewalls Floppy Disks FreedomBox Glade GNOME Graphics, Images, Photos Hardware Initialisations on Booting Installation Examples Internet IOT Java KDE Kernels Keyboard Konqueror KVM Switch LATEX Log System Login Magellan MATE Mathematics Memory Modems Mounting Devices MS/Windows Music MySQL Nautilus Networks Nextcloud Network File System NFS NT File System Oracle Packages Partitions Passwords PDF Power Management PPP Presentations Printing Python R Remote Desktops Rsync Samba Scanning Science Screens Security Spreadsheet SSH Swap Teradata Data Warehouse Themes TV Unity USB Version Control Video Virtualization Voice over IP WebCam WordPress Web Sites Word Processing and Printing X XML Troubleshooting Index

CLICK HERE TO VISIT THE UPDATED SURVIVAL GUIDE

MLHub Installation

20200220 The machine learning hub is a platform specifically built on Ubuntu. See Chapter 4 for getting started with Ubuntu on different platforms. This quick start is based on a fresh install of Ubuntu 20.04 LTS. Some of the steps may not be necessary if some software is already installed.

To simplify using the Ubuntu system we will use the wajig system administration suite. Wajig is available from the Debian and Ubuntu repositories with the latest updates available from wajig. Installation of wajig will usually take less than 5 minutes.

$ sudo apt install wajig
$ wajig update 
$ wajig upgrade 
$ wajig install python3-pip
$ pip3 install wajig

Be sure to log out and log back in after the pip3 install so that the system will notice your local installation of wajig.

Now we are ready to install and configure MLHub:

$ pip3 install mlhub
$ ml configure

If you now find that the ml command is not found then you may like to log out and back in again. This will refresh the PATH where commands are found. The default in Ubuntu 18.04 LTS is that the path will include ~/.local/bin if it exists, which won't be the case for the first time. Pip3 will install the ml command there and this is checked at login. If all else fails then the following could be useful (but not usually required):

$ echo 'PATH=~/.local/bin:$PATH' >> ~/.bashrc

MLHub exposes a github repository as a collection of quickly accessible and ready to run, explore, rebuild, and even deploy, pre-built machine learning models and data science technology. The models and technology are accessed and managed using the ml command from the mlhub package available for quick installation from pypi. A growing number of machine learning models and data science technology are becoming available, as well as cloud based services.

The configure of ml as above will install quite a comprehensive collection of AI technology to have your computer AI-ready. This will include several hundred packages (mostly small) that are downloaded and installed. For each of the major packages you will be asked to confirm that it is okay to install it. This could take up to 5 minutes.

This will install quite a collection of free and open source packages that begins to form a foundation for doing AI and ML and Data Science on Ubuntu. Included is the R Statistical Software package.

As the instructions will suggest, run the following to immediately turn on tab expansion for mlhub commands and model names. This will be available anyhow on the next login.

$ source /etc/bash_completion.d/ml.bash