📊 EchoReport Lab

🧭 Project Overview

EchoReport Lab generates full HTML archives from machine learning runs. It captures:

• Training history and epoch metrics
• TSNE plots of model outputs
• Line charts for loss, accuracy, and validation accuracy
• Model summary, parameter breakdown, embedded notes and source code

The final report is viewable in IDEs, browsers, or printable as a PDF—ideal for review, discussion, and civic-grade reproducibility.

📦 Access & Documentation

• PyPI Package: echo-report-lab on PyPI
• GitHub Repo: echo-report-lab source code
• README: direct link to overview
• Keras Discussion: GitHub Ideas thread (search for “EchoReport Lab”)

🌐 Use Cases

• Audit-ready model archives for civic dashboards
• ML experimentation tracking with visual clarity
• Student demos and reproducible research
• Symbolic serialization for review and handoff

📥 Install Instructions

pip install echo-report-lab==0.1.2