Changelog

All notable changes to the PrERT-CNM project will be documented in this file.

The format is based on Keep a Changelog.

[Unreleased]

Added

• Created foundational Month 1 sprint directories: config/, models/, engine/, tests/
• Generated baseline requirements.txt incorporating AI tracking components (transformers, torch, pgmpy, datasets).
• Deployed architectural stubs privacy_indicators.json, privacy_bert.py, bayesian_scorer.py, and test_pipeline.py reflecting the sprint roadmap with integrated comments challenging conventional NLP classification architectures.
• Initiated MEMORY.md to persist project-specific operational constraints and architectural philosophy.
• Implemented structured JSON data loading with Pydantic for indicator config (config/loader.py).
• Extended PrivacyFeatureExtractor to include Hugging Face Trainer loops (models/privacy_bert.py).
• Initialized Bayesian Network graph topologies with discrete CPD structures (engine/bayesian_scorer.py).
• Deployed end-to-end geometry and scaling bounds unit tests under pytest.
• Activated dynamic topology mappings correlating Pydantic JSON logic to explicit pgmpy mathematical DAG structures (engine/bayesian_scorer.py).
• Cached and persisted the alternative public OPP-115 policy corpus offline onto the disk (data/download.py).