Tabular Data Example Project

1 min
Dominika Kozub
21st April, 2022

Here’s a public example project to give you a taste of’s API and the app.

It’s a tabular data project that shows how to use Neptune to keep track of training, finetuning, monitoring, and retraining metadata of XGBoost models.

You can just open the project and play with the app, no registration is needed. And if you want to see the code behind it, go to the example’s GitHub repo

What’s in this tabular data-based example project? 

Here are a few most important things you can see in the project: 

Tabular data example project 1

If you want to see only the runs or only the charts, you can change the view by clicking the tabs on the left.  

  • You can easily change the columns that are visible in the runs table or filter the runs. You can also save custom views for later. In this project, we have saved several custom views, e.g., “debugged”, “finetuning”, “training”, etc. To switch between views, open the dropdown menu above the runs table.
Custom views saved in the Neptune app
  • In the Compare runs tab, you can switch from Charts comparison to Images comparison or Side-by-side comparison. If you’ve logged artifacts, you can also compare datasets between runs. 
Charts comparison in the Neptune app

By the way, you can choose which runs you want to compare by clicking the eye icon in the runs table. 

  • You can also inspect a single run. Click its name in the runs table, and you’ll land in the single run’s view. On the left, you can see different dashboards.

    The first one is the All metadata dashboard with everything that was logged to Neptune (organized in a folder-like structure). Then, there are Charts, Images, Monitoring, Source code, and more. 
Custom dashboard in the Neptune app

Other useful resources

Explore other example projects, e.g. text classification example project or time series forecasting example project

Contact us if you’d like to get a live customized demo specific to your use case. 

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