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 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 what columns and values to display.
Filters: 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.
The table also contains buttons to visualize, compare and run experiments.