When you create a view by connecting to a Git repository, the view is added to
your DVC Studio dashboard. You can dive deep into the views shown in your DVC
Studio dashboard to explore all the ML experiments, visualize and compare them,
and run new experiments. For this, open the view by clicking the view name (in
A table will be generated as shown below. This includes metrics, hyperparameters and information about the datasets. All these values are flattened and neatly presented for you.
The tabular display has different components that show you the complete experiment history as well as enable to you to generate plots, compare experiments, run new experiments, etc. The major components of a view are:
The branches and commits in your Git repository are displayed along with the corresponding metrics, files and hyperparameters.
The table contains buttons to specify filters and other preferences regarding which commits and columns to display.
You can filter the commits that you want to display by the following fields:
avg_precis greater than
avg_precchanged by more than
0.1compared to the baseline experiment.
Select the columns you want to display and hide the rest.
Additionally, you can click and drag the columns in the table to rearrange them as per your preferences.
If your view is missing some required columns or includes columns that you do not want, refer to the following troubleshooting sections to understand why this may have happened.
The following functionality are available for you to hide irrelevant commits from your views in DVC Studio.
Show hidden commitstoggle (refer the above gif). This will display all hidden commits, with a
hidden(closed eye) indicator. To unhide any commit, click on the 3-dot menu for that commit and click on
Use this toggle switch to show/hide experiments that you have not selected.
Toggle between absolute values and difference from the first row.
Save your filters or column display preferences so that these preferences remain intact even after you log out of DVC Studio and log back in later.
The table also contains buttons to visualize, compare and run experiments.