2 MLHub Command Line

20200901 The machine learning hub (MLHub) is a framework and repository, through which the capabilities of Machine Learning, Artificial Intelligence, and Data Science are presented and accessible. Pre-built Machine Learning and Artificial Intelligence models as well as Data Science best practices are presented as packages. Each package wraps its functionality into commands that are able to be readily deployed within traditional and powerful Unix/Linux command line pipelines.

Each MLHub package provides a demo command to interactively demonstrate the capabilities of the package. A gui command presents a graphical user interface through which to use the particular capabilities of the package. The command line oriented commands then empower the user with the capabilities of AI and ML.

Whilst the power of the command line is an important goal of MLHub, its usefulness must be able to be demonstrated within 5 minutes. You decide whether the package supports something useful for you, or move on having lost only 5 minutes of your time.

The models and technology are accessed and managed using the ml command from the free (as in libre) and open source mlhub software. The software is available for installation through pypi.

Getting started is simple for computers running Ubuntu LTS with packages for visualisations and animations, machine learning models for rain prediction and movie recommendation, and AI models to colorize photos, identify objects, and to detect faces.

Your donation will support ongoing development 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.
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