Metadata-Version: 2.4
Name: information-bottleneck
Version: 1.0.0
Summary: Optimal compression-prediction tradeoffs for principled feature extraction
Project-URL: Funding, https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=WXQKYYKPHWXHS
Author-email: Benedict Chen <benedict@benedictchen.com>
Maintainer-email: Benedict Chen <benedict@benedictchen.com>
License: Custom Non-Commercial License with Donation Requirements
License-File: LICENSE
Requires-Python: >=3.9
Requires-Dist: matplotlib>=3.5.0
Requires-Dist: numpy>=1.21.0
Requires-Dist: scikit-learn>=1.0.0
Requires-Dist: scipy>=1.7.0
Provides-Extra: test
Requires-Dist: pytest-cov>=4.0; extra == 'test'
Requires-Dist: pytest>=7.0; extra == 'test'
Description-Content-Type: text/markdown

# 💰 Support This Research - Please Donate!

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---

# Information Bottleneck

🌟 Optimal compression-prediction tradeoffs for principled feature extraction

**Tishby, N., Pereira, F. C., & Bialek, W. (1999)** - "The Information Bottleneck Method"

## 📦 Installation

```bash
pip install information-bottleneck
```

## 🎓 About the Implementation

Implemented by **Benedict Chen** - bringing foundational AI research to modern Python.

📧 Contact: benedict@benedictchen.com

---

## 💰 Support This Work - Donation Appreciated!

**This implementation represents hundreds of hours of research and development. If you find it valuable, please consider donating:**

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**Your support helps maintain and expand these research implementations! 🙏**