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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.