Marko Djordjevic d3dcfcea7d feat: auto-build training dataset from DB annotations before training ... - Add build_dataset_from_db() that exports candles from DB, runs feature engineering, and ingests span annotations into labeled CSV - Call it automatically in _run_training_background before training starts - Add POST /training/build-dataset endpoint for standalone use - Add Next.js proxy route /api/training/build-dataset - Update TrainingPanel: remove dataset-missing block on Start Training, show informational message that dataset builds automatically		2026-02-18 00:24:39 +01:00
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__init__.py	feat(ml): add database schema, config parser, and DVC setup	2026-02-15 12:08:53 +01:00
annotation_ingestion.py	feat: add Python migration script and successfully test SQLite to PostgreSQL data migration	2026-02-17 14:01:21 +01:00
config.py	feat(ml): add database schema, config parser, and DVC setup	2026-02-15 12:08:53 +01:00
data_access.py	fix: resolve numpy type conversion issues in ML service data access	2026-02-17 14:10:21 +01:00
db.py	fix(ml): complete ML pipeline fixes and setup	2026-02-15 21:29:54 +01:00
main.py	feat: auto-build training dataset from DB annotations before training	2026-02-18 00:24:39 +01:00
patterns.py	feat: add FastAPI pattern detection endpoints (Section 1)	2026-02-17 18:34:14 +01:00
preprocessing.py	fix(ml): add windowed feature flattening for inference parity	2026-02-15 22:07:06 +01:00