The simplest installation identifies a curated package name. The names of these packages are those in the left column of the output of available). For example:
ml install kmeans # Install the curated package named kmeans.
MLHUB.yaml file, containing all information required
by MLHub to install the package, is retrieved from a git repository
identified through MLHub’s meta-data. All MLHub packages are hosted
within a git repository.
We can explicitly identify the GitHub path, thus skipping the curated package list:
ml install acwkayon/kmeans # Install kmeans from its GitHub repository.
The default action of the install command is to access
MLHUB.yaml from the git repository. The above example will obtain
the package’s configuration from
repository’s default branch is accessed (master in this case). The
ports package identified as
acwkayon/ports uses main as the default
branch and so the
MLHUB.yaml file is retrieved as
Specific branches and commits of a git repository can also be identified. This is particularly useful if an update has introduced bugs and you’d like to revert to a previous version.
ml install acwkayon/kmeans@dev # From dev branch. ml install acwkayon/kmeans@a24e268 # From specific commit.
MLHUB.yaml files within a repository can also be
ml install acwkayon/kmeans:doc/MLHUB.yaml ml install https://github.com/acwkayon/kmeans/testing/MLHUB.yaml
MLHub.yaml is not provided in the command line it will be looked
The default git repository is GitHub, but it can be explicitly identified:
ml install github:acwkayon/kmeans
Similarly other git servers supported include GitLab and BitBucket:
ml install gitlab:acwkayon/kmeans ml install gitlab:acwkayon/kmeans@2fe89kh:doc/MLHUB.yaml ml install bitbucket:acwkayon/kmeans
To override the package developer’s name for a package we can provide our own name (not yet implemented):
ml install https://github.com/StafferOliver/rembg as u2net
After a package is installed the name by which you refer to it locally can be changed using the rename command.
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