This splits VectorizedScorer into MixtureValueScorer + MixtureDataScorer, and creates in each model two typedefs: FastMixture and SmallMixture. Both mixture types use a fast custom .score_data(...) method, but only FastMixture has uses caching in its score_value method.
This also moves towards @cap 's suggested pattern of splitting complicated objects into pieces: MixtureSlave is now composed of MixtureSlaveGroups + MixtureSlaveValueScorer + MixtureSlaveDataScorer.
Practically, this speeds up loom kind inference by 15-30%.
This splits
VectorizedScorerintoMixtureValueScorer+MixtureDataScorer, and creates in each model two typedefs:FastMixtureandSmallMixture. Both mixture types use a fast custom.score_data(...)method, but onlyFastMixturehas uses caching in itsscore_valuemethod.This also moves towards @cap 's suggested pattern of splitting complicated objects into pieces:
MixtureSlaveis now composed ofMixtureSlaveGroups+MixtureSlaveValueScorer+MixtureSlaveDataScorer.Practically, this speeds up loom kind inference by 15-30%.