LightGBM regressor + ONNX
Memory Importance Scorer.
LightGBM regressor scoring importance of user memories at write time.
Foundation · LightGBM regressor + ONNX
The honest description.
LightGBM regressor scoring importance of user memories at write time.
How it works.
User-corrected importance feedback rows (importance ∈ [0, 1]) plus the 17-feature contract: recency, frequency, user-signal, financial-impact, linguistic, provenance, embedding top-3 PCs.
What it learned from, and how we watch it.
Inputs: User-corrected importance feedback rows (importance ∈ [0, 1]) plus the 17-feature contract: recency, frequency, user-signal, financial-impact, linguistic, provenance, embedding top-3 PCs.
Drift baseline not yet documented for this model.
Limitations not yet documented for this model.
Across the house and the API.
No public routes documented yet.
Every release, traceable.
Data Mukodi holds about you is subject to DPDP §12 erasure (use /consent in the app), and any concern about this model can be raised via [email protected] under DPDP §13 grievance, or via /security.