v1.0.1

Release Notes for v1.0.1

✨ Major packaging modernization:

• Migrated from Poetry to uv packaging system - following the same pattern as woeboost, fisher-scoring, and fastwoe
• Restructured package layout - moved from src/pearsonify to root-level pearsonify/
• Updated pyproject.toml to modern project specification format with SPDX license
• Added comprehensive development dependencies - black, isort, ruff, pylint, pytest, pre-commit
• Added uv.lock and .python-version files for reproducible environments

🔧 Technical improvements:

• Cleaner build process with no deprecation warnings
• Better tooling configuration (black, ruff, pytest)
• TestPyPI publishing support configured

v1.0.0

Pearsonify 🐍 is a lightweight Python package that provides model-agnostic classification intervals for binary classification tasks. It uses Pearson residuals and principles from conformal prediction to quantify uncertainty without making strong distributional assumptions.