How to Debug Plot Errors in the DVC Extension for VS Code
Have you ever been working on an ML project and something is broken but you can’t figure out what it is? Julie Galvan shares the latest feature in the DVC Extension for VS Code that makes it incredibly easy to figure out any errors that may be embedded in your plots code. Now the extension will notify you clearly in two different areas of the extension (the plots tree and at the top of the plots web view) when something is awry, and it gives you a clue as to how to fix it. If only Jupyter Notebook errors were so clear! 😅 This is part of release 1.2.5. The release notes can be found here: https://github.com/iterative/vscode-dvc/releases/tag/1.2.5 To learn more about Iterative's open-source and SaaS tools please visit: 🧑🏽💻 *Our free online course:* [https://learn.iterative.ai](https://learn.iterative.ai/) ✍🏼 *Our docs:*https://dvc.org/doc (Data Version Control, Pipelines, Experiments) [https://studio.iterative.ai](https://studio.iterative.ai/) (Team Collaboration, Experiments, Model Registry) *Try out the DVC Extension for VS Code here:* https://marketplace.visualstudio.com/items?itemName=Iterative.dvc *Join the Community on our Discord server:* https://discord.gg/W49xzNmycw #dvc #machinelearning #datascience #generativeai