entropy
CommunitySolve information theory entropy problems.
Education & Research#data analysis#probability#entropy#sympy#scipy#information theory#shannon entropy
Authorscooter-lacroix
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides strategies and tools for calculating and understanding entropy in information theory, addressing problems related to uncertainty, information content, and data compression.
Core Features & Use Cases
- Shannon Entropy Calculation: Compute entropy for discrete probability distributions using SciPy.
- Joint and Conditional Entropy: Understand relationships between random variables.
- Differential Entropy: Calculate entropy for continuous distributions using SymPy.
- Maximum Entropy Principle: Apply principles to find the least biased distributions under constraints.
- Use Case: Determine the information content of a message source or analyze the uncertainty in a set of outcomes.
Quick Start
Use the entropy skill to calculate the Shannon entropy for a uniform distribution of 4 outcomes with base 2.
Dependency Matrix
Required Modules
scipysympy
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: entropy Download link: https://github.com/scooter-lacroix/Maestro/archive/main.zip#entropy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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