Marko Djordjevic 3dc0014328 feat: add training resource limits (500MB size check + 30-min timeout) ... - Import concurrent.futures for timeout support - In _run_training_background: check df.memory_usage(deep=True).sum() after loading the labeled dataset; raise ValueError if > 500MB - Wrap model.fit() in a ThreadPoolExecutor with a 1800s timeout; on TimeoutError update DB status to "failed" with message "Training timed out after 30 minutes" and return early - Mark task 5.7 as done in openspec/changes/code-review-fix/tasks.md Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>		2026-02-18 11:31:33 +01:00
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ml	feat: add training resource limits (500MB size check + 30-min timeout)	2026-02-18 11:31:33 +01:00