aod-learning-accuracy-campaign

Diagnose and resolve occupancy learning accuracy issues in Home Assistant.

316|9|Updated Nov 23, 2024

Search Tags:#data analysis #home assistant #python scripting #occupancy detection #accuracy calibration

Ready to run

npx skills add https://github.com/Hankanman/Area-Occupancy-Detection --skill aod-learning-accuracy-campaign

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: aod-learning-accuracy-campaign
Source: https://github.com/Hankanman/Area-Occupancy-Detection/tree/main/.claude/skills/aod-learning-accuracy-campaign
Command: npx skills add https://github.com/Hankanman/Area-Occupancy-Detection --skill aod-learning-accuracy-campaign

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

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.

Frequently Asked Questions about aod-learning-accuracy-campaign

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

Why does my Home Assistant occupancy probability not match reality?▼

Occupancy probability mismatches in Home Assistant often stem from inaccurate learned values. You can resolve this by manually verifying and recalibrating stored data against real home occupancy records using Python scripting.

How do I fix Home Assistant occupancy learning when the prior is stuck at 0.99?▼

To fix a stuck occupancy learning prior, diagnose data discrepancies between learned values and real home data. Recalibrate the stored probabilities by recomputing them against actual occupancy records.

How do I diagnose false transitions in Home Assistant occupancy detection?▼

Diagnose false transitions in occupancy detection by analyzing Home Assistant data structures. Validate learned values against real home data and recompute stored probabilities to correct the false state changes.

Do I need Python scripting knowledge to recalibrate Home Assistant occupancy data?▼

Yes, Python scripting knowledge is required to recalibrate Home Assistant occupancy data. You need it to access data structures, validate stored learned values, and recompute probabilities against real home data.

What is the best way to validate learned occupancy values against real home data?▼

The best way to validate learned occupancy values is to manually compare stored probabilities with real home data records. Recompute the learned values in Home Assistant to ensure they reflect actual occupancy patterns.