Flatten data/readings/ → data/
Remove the intermediate readings/ subdirectory level — dataset naming (synthetic_YYYYMMDD, manual_YYYYMMDD) already encodes what the data is. Update all path references across scripts and docs accordingly. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -12,7 +12,7 @@ This guide explains how to integrate the cluster classification system into the
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**Version-based compatibility**: The model includes a `bicorder_version` field. The classifier checks that versions match. When bicorder.json structure changes:
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1. Increment the version number in bicorder.json
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2. Retrain the model with `python3 scripts/export_model_for_js.py data/readings/synthetic_20251116/readings.csv`
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2. Retrain the model with `python3 scripts/export_model_for_js.py data/synthetic_20251116/readings.csv`
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3. The new model will have the updated version
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This ensures the web app and model stay in sync without complex backward compatibility.
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@@ -25,7 +25,7 @@ This ensures the web app and model stay in sync without complex backward compati
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The model is the only artifact produced by this analysis directory that the app consumes. Regenerate it after re-running analysis on the synthetic dataset:
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```bash
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python3 scripts/export_model_for_js.py data/readings/synthetic_20251116/readings.csv
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python3 scripts/export_model_for_js.py data/synthetic_20251116/readings.csv
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```
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## Quick Start
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