trentuna/candle-annotator
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candle-annotator/services/ml/candle_ml.egg-info
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Marko Djordjevic 847ff67986 feat(ml): add TA-Lib annotation generation and import workflow 
Add complete workflow for using TA-Lib to bootstrap training data:

- generate_talib_annotations.py: Python script to run TA-Lib CDL* functions
  and output span annotations in UI-compatible format
- import_talib_annotations.ts: TypeScript script to import generated
  annotations into the UI database with auto-label-type creation
- npm script 'import-annotations' for easy execution
- TALIB_WORKFLOW.md: Comprehensive guide covering the full cycle:
  * Generate patterns with TA-Lib
  * Import into UI
  * Review and edit in browser
  * Export and train model
  * Compare predictions with TA-Lib detections
  * Iterate for improvement

This enables the intended workflow: use TA-Lib for initial annotations,
manually refine them, then train a model that learns from corrections.
2026-02-15 19:18:28 +01:00
..
dependency_links.txt feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
PKG-INFO feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
requires.txt feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00
SOURCES.txt feat(ml): add TA-Lib annotation generation and import workflow 2026-02-15 19:18:28 +01:00
top_level.txt feat(ml): add database schema, config parser, and DVC setup 2026-02-15 12:08:53 +01:00