Integrate with Git#
git integration allows you to automatically track relevant version control information like branches and commits during your model iteration process. Use this integration when you are developing within a
git repository to seamlessly tie your
rubicon_ml experiments directly to the model code that produced them - an audit and governance must have!
To enable this feature, instantiate the
rubicon_ml object with
from rubicon_ml import Rubicon rubicon = Rubicon(persistence="memory", auto_git_enabled=True)
Any project created with this client will have the URL of the GitHub repo’s origin automatically populated in the
project = rubicon.create_project("Automatic Git Integration") project.github_url
Experiments will have the current active branch name and last commit hash populated in the
commit_hash fields, respectively.
experiment = project.log_experiment(model_name="GitHub Model") experiment.branch_name, experiment.commit_hash
These properties can help easily associate projects and experiments with the exact branches and commits they were run against so we can go back and reference the code later.
from rubicon_ml.viz import Dashboard experiment.log_parameter(name="input", value=True) experiment.log_metric(name="output", value=1.0) Dashboard([experiment]).show()
* Running on http://127.0.0.1:8050/ (Press CTRL+C to quit) 127.0.0.1 - - [14/May/2021 11:58:45] "GET /_alive_e9483f78-700c-4852-a59e-f027a3b5caf7 HTTP/1.1" 200 -
Dash app running on http://127.0.0.1:8050/
rubicon_ml dashboard, your experiments will be grouped by commit hash, which will link directly to the commit on GitHub.