Edit on GitHub

Get Started with DVC Studio

The following video provides you a quick overview of how to use DVC Studio.

  1. Sign in to your DVC Studio dashboard using GitHub, GitLab or Bitbucket.

    The DVC Studio views dashboard opens.

  2. If this is the first time you are signing in to DVC Studio, you will see that there already exists a Demo view that connects to an example DVC project. Use this view to explore the features that DVC Studio has to offer.

When you first login, an example view is already created for you to explore, and you can add more views.

  1. Each view on this dashboard displays the metrics that DVC Studio identified in your Git repository. In the figure above, you can see that avg_prec and roc_auc metrics are displayed.

  2. To create a new view, click on Add a View. All the organizations that you have access to will be listed.

To create views from your GitHub repositories, you must install the DVC Studio GitHub app. Refer to the section on GitHub app installation for more details.

  1. Open the organization whose repository you want to connect to. You can also use the search bar to directly look for a repository.

  2. Specify additional connection settings if required.

View settings must be configured if you are connecting to a non-DVC repository, if your metrics are in some custom files, if you are connecting to a monorepo, or if your metrics are in cloud or other remote storage. However, you can configure the view settings after the view has been created. So, you can Skip and Continue now. Refer to the View Settings section for more details.

You should now see that a view has been added in your dashboard.

  1. If your project requires any of the additional settings, then remember to configure them by opening the view settings. Otherwise, your view may not work as expected. To go to view settings, click on the icon in the view. In the menu that opens up, click on Settings.

  1. You can also create multiple views from a single Git repository.

  2. After creating a view, you can use it to explore the ML experiments as well as submit new experiments from DVC Studio.

  3. You can also make the view public by sharing it on the web.

🐛 Found an issue? Let us know! Or fix it:

Edit on GitHub

Have a question? Join our chat, we will help you:

Discord Chat