2.4 ml install

20211015 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 rain        # Install the curated package named rain.

The package’s 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 gjwgit/rain  # Install rain 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 https://raw.githubusercontent.com/gjwgit/rain/master/MLHUB.yaml. The repository’s default branch is accessed (master in this case). The ports package identified as gjwgit/ports uses main as the default branch and so the MLHUB.yaml file is retrieved as https://raw.githubusercontent.com/gjwgit/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 you’d like to revert to a previous version.

ml install gjwgit/rain@dev            # From dev branch.
ml install gjwgit/rain@a24e268        # From specific commit.

Specific MLHUB.yaml files within a repository can also be supplied:

ml install gjwgit/rain:doc/MLHUB.yaml
ml install https://github.com/gjwgit/rain/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:

 ml install github:gjwgit/rain

Similarly other git servers supported include GitLab and BitBucket:

ml install gitlab:gjwgit/rain
ml install gitlab:gjwgit/rain@2fe89kh:doc/MLHUB.yaml

ml install bitbucket:gjwgit/rain

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


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