897c30406b
- Move all scripts to scripts/, web assets to web/, analysis results into self-contained data/readings/<type>_<YYYYMMDD>/ directories - Add data/readings/manual_20260320/ with 32 JSON readings from git.medlab.host/ntnsndr/protocol-bicorder-data - Add scripts/json_to_csv.py to convert bicorder JSON files to CSV - Add scripts/sync_readings.sh for one-command sync + re-analysis of any dataset backed by a .sync_source config file - Add scripts/classify_readings.py to apply the LDA classifier to all readings and save per-reading cluster assignments - Add --min-coverage flag to multivariate_analysis.py for sparse/shortform datasets; also applies in lda_visualization.py - Fix lda_visualization.py NaN handling and 0-d array annotation bug - Update README.md and WORKFLOW.md to document datasets, sync workflow, shortform handling, and new scripts Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
42 lines
1.4 KiB
JavaScript
42 lines
1.4 KiB
JavaScript
import { BicorderClassifier } from './bicorder-classifier.js';
|
|
import { fileURLToPath } from 'url';
|
|
import path from 'path';
|
|
import fs from 'fs';
|
|
|
|
const __dirname = path.dirname(fileURLToPath(import.meta.url));
|
|
const modelPath = path.join(__dirname, '..', 'bicorder_model.json');
|
|
const modelData = JSON.parse(fs.readFileSync(modelPath, 'utf8'));
|
|
const classifier = new BicorderClassifier(modelData);
|
|
|
|
console.log('='.repeat(80));
|
|
console.log('BICORDER CLASSIFIER - TEST');
|
|
console.log('='.repeat(80));
|
|
|
|
// Test 1
|
|
console.log('\nTest 1: Institutional Protocol (e.g., Airport Security)');
|
|
console.log('-'.repeat(80));
|
|
const institutional = {
|
|
'Design_elite_vs_vernacular': 1,
|
|
'Design_explicit_vs_implicit': 1,
|
|
'Entanglement_flocking_vs_swarming': 1,
|
|
'Entanglement_obligatory_vs_voluntary': 1,
|
|
};
|
|
const result1 = classifier.predict(institutional);
|
|
console.log(JSON.stringify(result1, null, 2));
|
|
|
|
// Test 2
|
|
console.log('\n\nTest 2: Relational Protocol (e.g., Indigenous Practices)');
|
|
console.log('-'.repeat(80));
|
|
const relational = {
|
|
'Design_elite_vs_vernacular': 9,
|
|
'Entanglement_flocking_vs_swarming': 9,
|
|
'Entanglement_obligatory_vs_voluntary': 9,
|
|
};
|
|
const result2 = classifier.predict(relational);
|
|
console.log(JSON.stringify(result2, null, 2));
|
|
|
|
console.log('\n\n' + '='.repeat(80));
|
|
console.log('✓ JavaScript classifier working correctly!');
|
|
console.log(' Model size:', Math.round(fs.statSync(modelPath).size / 1024), 'KB');
|
|
console.log('='.repeat(80));
|