Experiments (DVC Integration)
DataChain Studio provides comprehensive ML experiment tracking through DVC integration, allowing you to track, compare, and manage your machine learning experiments with Git-based versioning.
Overview
DataChain Studio integrates with DVC (Data Version Control) to provide a powerful web-based interface for managing your ML experiments. By connecting your Git repositories, you can visualize experiment results, compare different runs, and collaborate with your team—all without leaving your browser.
Key Features
Project Management
- Create projects by connecting to GitHub, GitLab, or Bitbucket repositories
- Configure project settings including project directory, data remotes, and column tracking
- Support for monorepos with multiple ML projects in different sub-directories
- Share projects with your team or make them publicly accessible
Experiment Tracking
- Explore ML experiments with a comprehensive project table showing Git history, metrics, hyperparameters, and DVC-tracked files
- Generate live metrics and plots for running experiments using DVCLive
- Monitor running experiments in real-time with status updates and output logs
- Automatic tracking of experiments pushed with
dvc exp push
Visualization and Comparison - Visualize and compare experiments using plots, images, and trend charts - Display plots generated by DVCLive including AUC curves, loss functions, and confusion matrices - Compare up to seven experiments side by side - Generate trend charts to see how metrics changed over time - Export project data to CSV for external analysis
Collaboration - Create teams with multiple collaborators - Share projects within a team or publicly on the web - Track experiments from different branches and commits - Review and manage experiments through pull/merge requests
Getting Started
- Create a project - Connect your Git repository to DataChain Studio
- Configure your project - Set up data remotes, credentials, and tracking preferences
- Run experiments - Start tracking your ML experiments with DVC and DVCLive
- Explore and visualize - Analyze your results in the project table and plots
- Share your work - Collaborate with your team or share publicly