ModSSC-Dashboard

The official visualization dashboard for the ModSSC benchmark project. It allows researchers to explore, analyze, and inspect the results of Semi-Supervised Learning (SSL) experiments.

Project Structure

• dashboard/: React-based visualization frontend (Vite + Tailwind + Recharts).
• runs/: Experiment logs and configuration files from ModSSC.
• src/etl.py: ETL pipeline to parse logs (extracting metrics, configs, and logs) into dashboard/public/data.
• .github/workflows/deploy.yml: CI/CD for automated ETL and GitHub Pages deployment.

Getting Started

Prerequisites

• Node.js (v18+)
• Python (v3.10+)

Development

1. Process Data:

   pip install pandas pyyaml
   python src/etl.py

2. Run Dashboard:

   cd dashboard
   npm install
   npm run dev

Deployment

The project is configured to automatically deploy to GitHub Pages on every push to the main branch. The deployment process includes:

1. Running the ETL script to refresh data.
2. Building the React application.
3. Deploying the static files to the gh-pages branch.