aod-learning-accuracy-campaign
CommunityEnhance occupancy learning accuracy and fix data discrepancies
Software Engineering#data analysis#home assistant#python scripting#occupancy detection#accuracy calibration
AuthorHankanman
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses accuracy issues in occupancy learning, allowing for the diagnosis and resolution of discrepancies between learned values and real-world occupancy data.
Core Features & Use Cases
- Diagnosis and Fixing: Provides a comprehensive guide to diagnose and fix inaccuracies in occupancy learning.
- Real-Home Data Analysis: Allows users to manually verify and recompute stored learned values against real home data.
- Use Case: When users encounter issues like 'prior stuck at 0.99/0.01', 'occupancy probability doesn't match reality', or 'false transitions', this Skill offers a structured approach to resolving these problems.
Quick Start
Load the aod-learning-accuracy-campaign skill and follow the step-by-step guide to diagnose and fix occupancy learning inaccuracies.
Dependency Matrix
Required Modules
None requiredComponents
scripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: aod-learning-accuracy-campaign Download link: https://github.com/Hankanman/Area-Occupancy-Detection/archive/main.zip#aod-learning-accuracy-campaign Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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