![]() ![]() Select one of the jobs from the Display name column. ![]() Select Jobs, and then select one of your experiments.From the studio portal, select your workspace.You can view this information using the Azure portal or Python SDK. The git information is stored in the properties for a training job. For more information on installing git on your development environment, see the Git website. If installed, and in the path, you receive a response similar to git version 2.4.1. To check if the git command is available on your development environment, open a shell session, command prompt, PowerShell or other command line interface and type the following command: git -version If your training files are not located in a git repository on your development environment, or the git command is not available, then no git-related information is tracked. This information is sent for jobs that use an estimator, machine learning pipeline, or script run. True, if the branch/commit is dirty otherwise, false. The commit hash of the code that was submitted for the job. The active branch when the job was submitted. The URI that your repository was cloned from. This information is stored in the following properties for the training job: Property If so, then information from your git repository is also uploaded as part of the training job. If the git command is available on your development environment, the upload process uses it to check if the files are stored in a git repository. When you submit a training job from the Python SDK or Machine Learning CLI, the files needed to train the model are uploaded to your workspace. Track code that comes from Git repositories Git will clone the repo and set up the origin remote to connect with SSH for future Git commands. ![]()
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