Ho Ngoc Hai 9eaec46a37 feat(ai-services): AVM v2 residential — expanded features, training pipeline, model versioning ...

Add neighborhood_score, developer_reputation, floor_level, direction premiums
to the multi-model ensemble. Implement real Optuna-based training pipeline
for XGBoost/LightGBM/CatBoost with grouped train/val/test splits. Add
file-based model registry with rollback and list-versions endpoints.
23 Python tests covering all new features.

Co-Authored-By: Paperclip <noreply@paperclip.ing>

2026-04-16 17:55:03 +07:00

..

ai-services

feat(ai-services): AVM v2 residential — expanded features, training pipeline, model versioning

2026-04-16 17:55:03 +07:00

mcp-servers

test(auth): add unit tests for KYC presigned upload and submit handlers

2026-04-16 13:19:44 +07:00