Yif Yang d190bf37c1 Merge pull request #25 from lvbaocheng/feature/gate-soft-metric ...

Add configurable gate metric (hard / soft / mixed) for skill validation

Default is `hard`, preserving exact pre-PR behavior — verified by 22 unit
assertions on the gate module plus an end-to-end 8-step trainer-trajectory
test that produces a bit-for-bit identical accept/reject sequence between
the pre-PR and post-PR code paths under `gate_metric: hard`. Paper-
reproduction results are unaffected.

`soft` and `mixed` are opt-in via `evaluation.gate_metric` in the config
and address small-selection-set runs where discrete hard accuracy is too
coarse to distinguish candidate skills.

2026-05-30 08:01:39 +00:00

..

__init__.py

SkillOpt v0.1.0: initial release

2026-05-21 17:22:04 +00:00

trainer.py

Merge pull request #25 from lvbaocheng/feature/gate-soft-metric

2026-05-30 08:01:39 +00:00