Data.CRF.Chain2.Tiers.Inference

Documentation

tag :: Model -> Xs -> [Cb]

Find the most probable label sequence satisfying the constraints imposed over label values.

marginals :: Model -> Xs -> [[LogFloat]]

Tag potential labels with marginal probabilities.

expectedFeatures :: Model -> Xs -> [(Feat, LogFloat)]

A list of features (represented by feature indices) defined within the context of the sentence accompanied by expected probabilities determined on the basis of the model.

One feature can occur multiple times in the output list.

accuracy :: Model -> [(Xs, Ys)] -> Double

Compute the accuracy of the model with respect to the labeled dataset.

zx :: Model -> Xs -> LogFloat

Normalization factor computed for the Xs sentence using the backward computation.

zx' :: Model -> Xs -> LogFloat

Normalization factor computed for the Xs sentence using the forward computation.