dhresearch/quality-router-v2-conservative

Conservative per-interface router

This file is a seed-0 refit made on 2026-10-03. The original training run wrote predictions and did not save weights. This upload is the refit.

quality_router_v2 version 8 sets learned_downrouting to false. The served card loads no fitted weights. This file is a learned model from the same study, and the served card leaves it unloaded.

Role

Conservative router with per-interface thresholds, fit on the main export only. The v2-plus-synthetic and synthetic-only conservative fits are different runs and are not in this upload. The served flow does not call this object. Economy mode on the served card names a learned downrouter and is off.

Data

Main export. Dataset: https://huggingface.co/datasets/dhresearch/outcome-router-v2-main.

Fit

--router conservative --per-interface on the main export.

Seed 0. Software at refit time: python 3.14.2, sklearn 1.9.1, numpy 2.5.3, joblib 1.6.0, lightgbm 4.7.0, scipy 1.18.1.

Agreement

Frozen file data/real_v2/preds_v2_conservative.jsonl: predicted_route matches on 250 of 250 shared test rows (rate 1.000000). Full-row matches, including rounded probabilities and labels: 250 of 250. Mismatched keys: {}. seed-0 refit. The original run wrote this prediction file and did not save weights. This upload is not the original weight file.

Load

Unpickle with joblib while outcome_router_data and lightgbm are importable. The frozen report records resolved_model lgbm.

Class: ConservativeRouter.