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We have renamed Views to Projects in Iterative Studio.

Accordingly, Views dashboard is now called Projects dashboard; View settings are now called Project settings; and so on.

Explore ML Experiments

The projects dashboard in Iterative Studio contains all the projects you created by connecting to Git repositories. To explore all ML experiments in a project, visualize and compare them, and run new experiments, open the project by clicking the project name (in this case, example-get-started).

An experiments table for the project will be generated as shown below. This includes metrics, hyperparameters, and information about datasets and models.

Components of a project

The major components of the project experimentation table are:

Git history and live metrics

The branches and commits in your Git repository are displayed along with the corresponding models, metrics, hyperparameters, and DVC-tracked files.

New experiments submitted from Iterative Studio appear as experiment commits, which are eventually pushed to Git. Any live metrics that you send using DVCLive are displayed in a special experiment row nested under the parent Git commit. More details of how live metrics are displayed can be found here.

Display preferences

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:

  • Branch: The Git branch
  • Tag: The Git tag
  • Author: Author of the Git commit
  • Metric: Values of different metrics. For instance, you can display only those experiments for which the value of avg_prec is greater than 0.9.
  • Metric delta: Change in the value of the metric. For instance, you can use this filter to only display those experiments for which the value of avg_prec changed by more than 0.1 compared to the baseline experiment.
  • Param: Values of different parameters
  • File size: Size of the data, model and other files corresponding to your experiments
  • File changed: Whether or not any given file changed in the experiment


Select the columns you want to display and hide the rest. Showing and hiding columns

Additionally, you can click and drag the columns in the table to rearrange them as per your preferences.

If your project 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.

Hide commits:

The following functionality are available for you to hide irrelevant commits from the table.

  • Iterative Studio auto-hides irrelevant commits: Iterative Studio identifies commits where metrics, files and hyperparameters did not change and hides them automatically.

  • Iterative Studio auto-hides commits that contain [skip studio] in the commit message: This is particularly useful if your workflow creates multiple commits per experiment and you would like to hide all those commits except the final one.

    For example, suppose you create a Git commit with hyper-parameter changes for running a new experiment, and your training CI job creates a new Git commit with the experiment results. You may want to hide the first commit and only display the second commit, which has the new values for the hyper-parameters as well as experiment results (metrics). For this, you can use the string [skip studio] in the commit message of the first commit.

  • Hide commits and branches manually: You can selectively hide commits and branches. This can be useful if there are commits that do not add much value in your project. To hide a commit or branch, click on the 3-dot menu next to the commit or branch name and click on Hide commit or Hide branch.

  • Unhide commits: You can unhide commits as needed, so that you don't lose any experimentation history. To display all hidden commits, click on the Show hidden commits toggle (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 Show commit.

Selected only:

Use this toggle switch to show/hide experiments that you have not selected.

Delta mode:

Toggle between absolute values and difference from the first row.

Save changes:

Save your filters or column display preferences so that these preferences remain intact even after you log out of Iterative Studio and log back in later.

Visualize, compare and run experiments.

The table also contains buttons to visualize, compare and run experiments.

  • Show plots: Show plots for the selected commits. When you click on this button, plots for the selected commits are displayed in a Plots pane.
  • Compare: Compare different experiments side by side.
  • Run: Run experiments by selecting any one commit. Refer here for details on how to run experiments and track metrics in real time.
  • Trends: Generate trend charts to show metric evolution over time.

Export project data

The button to export data from the project table to CSV is present next to the Delta mode button.

export to csv

Below is an example of the downloaded CSV file.

example export to csv


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