Edwin Eames c134c05947 feat: rewrite K-factor engine with history tracking and outlier detection ...

Replace simple exponential smoothing with a rolling-average K-factor
system backed by a new auto_kfactor_history table. Budget fills are
detected and excluded from calculations, outliers beyond 2-sigma are
flagged, and confidence scores track data quality per customer.
Adds backfill endpoint, auto-create for missing estimation records,
and manual house_factor PUT endpoints for both auto and regular customers.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-08 17:54:27 -05:00

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