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Raphael Constantinis edited this page Aug 3, 2025
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Welcome to the documentation hub for the Entropic Measurement project! This wiki serves as your comprehensive guide to understanding, implementing, and contributing to this innovative measurement framework.
This project is now officially published on PyPI and ready for installation and use.
- Official PyPI package available: https://pypi.org/project/entropic-measurement/
- Test coverage below 90%
- API subject to breaking changes
- Use for research, prototyping, or pilot study only
- No native tensor support for PyTorch/TensorFlow in all modules (workarounds via array conversion only; direct tensor API WIP)
- No automatic GPU inference: All calculations are CPU-only (no CUDA/OpenCL/autodetect)
- No persistent state or model serialization
- Not optimized for large-scale or batch workloads
- No formal security audit or LTS guarantee
- Quick Start Guide - Get up and running in minutes
- Installation - Step-by-step installation instructions (now includes official PyPI installation)
- First Steps - Your first measurements and basic usage
- Basic Usage - Core functionality and common workflows
- Advanced Features - Power user capabilities
- Configuration - Customizing your setup
- Troubleshooting - Common issues and solutions
- Entropy Theory - Theoretical foundations
- Measurement Principles - Core concepts and methodology
- Mathematical Framework - Detailed mathematical background
- Performance Considerations - Optimization and scaling
- Contributing - How to contribute to the project
- API Reference - Complete API documentation
- Architecture - System design and structure
- Testing - Testing guidelines and procedures
- Examples - Practical examples and use cases
- Kaggle Example: Bias Correction - Kaggle-specific bias correction example
- FAQ - Frequently asked questions
- Glossary - Key terms and definitions
- External Resources - Related papers, tools, and links
- New to Entropic Measurement? Start with the Quick Start Guide
- Looking for specific functionality? Check the API Reference
- Need help? Visit our Troubleshooting page or FAQ
- Want to contribute? See our Contributing guidelines
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Install from PyPI:
pip install entropic-measurement
Entropic Measurement is a cutting-edge framework for quantifying and analyzing entropy in complex systems. Whether you're a researcher, developer, or student, this wiki will help you harness the power of entropic analysis in your work. For the latest updates and discussions, visit our main repository.
Last updated: August 2025