Marko Djordjevic cbb921b4a7 Scope MLflow experiment names to include user ID (Task 14.2) ... - Updated FastAPI /training/start endpoint to extract X-User-ID header via get_user_id() dependency - Modified _run_training_background to accept and use user_id parameter - Added MLflow experiment setup with user scoping: experiments are named user_{user_id}_training when user_id is provided, falling back to default experiment name otherwise - Updated database record insertion to store scoped experiment name - Updated training/train.py train() function to accept user_id parameter and use it for experiment naming - Mark task 14.2 as complete in tasks.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		2026-02-20 13:46:00 +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	fix(training): use selected chart and include TA-Lib span sources	2026-02-18 23:21:23 +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(training): use selected chart and include TA-Lib span sources	2026-02-18 23:21:23 +01:00
db.py	code-review-fix task 15.2: replace declarative_base() with class Base(DeclarativeBase) in db.py	2026-02-18 20:57:37 +01:00
main.py	Scope MLflow experiment names to include user ID (Task 14.2)	2026-02-20 13:46:00 +01:00
patterns.py	feat: add FastAPI pattern detection endpoints (Section 1)	2026-02-17 18:34:14 +01:00
preprocessing.py	Fix inference feature mismatch with training metadata	2026-02-18 23:53:38 +01:00