2.5 ml install
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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:
The packageโs MLHUB.yaml
file, containing all information required
by MLHub to install the package, is retrieved from a git repository
identified through MLHubโs meta-data. All MLHub packages are hosted
within a git repository.
We can explicitly identify the GitHub path, thus skipping the curated package list:
The default action of the install command is to access
MLHUB.yaml
from the git repository. The above example will obtain
the packageโs configuration from
https://raw.githubusercontent.com/acwkayon/kmeans/master/MLHUB.yaml. The
repositoryโs 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
https://raw.githubusercontent.com/acwkayon/ports/main/MLHUB.yaml.
Specific branches and commits of a git repository can also be identified. This is particularly useful if an update has introduced bugs and youโd like to revert to a previous version.
ml install acwkayon/kmeans@dev # From dev branch.
ml install acwkayon/kmeans@a24e268 # From specific commit.
Specific MLHUB.yaml
files within a repository can also be
supplied:
ml install acwkayon/kmeans:doc/MLHUB.yaml
ml install https://github.com/acwkayon/kmeans/testing/MLHUB.yaml
If MLHub.yaml
is not provided in the command line it will be looked
for anyhow.
The default git repository is GitHub, but it can be explicitly identified:
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 developerโs name for a package we can provide our own name (not yet implemented):
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