crf-chain1-0.2.3: First-order, linear-chain conditional random fields

Safe HaskellNone
LanguageHaskell2010

Data.CRF.Chain1.Feature

Synopsis

Documentation

data Feature Source #

A Feature is either an observation feature OFeature o x, which models relation between observation o and label x assigned to the same word, or a transition feature TFeature x y (SFeature x for the first position in the sentence), which models relation between two subsequent labels, x (on i-th position) and y (on (i-1)-th positoin).

Constructors

SFeature !Lb 
TFeature !Lb !Lb 
OFeature !Ob !Lb 
Instances
Eq Feature Source # 
Instance details

Defined in Data.CRF.Chain1.Feature

Methods

(==) :: Feature -> Feature -> Bool #

(/=) :: Feature -> Feature -> Bool #

Ord Feature Source # 
Instance details

Defined in Data.CRF.Chain1.Feature

Show Feature Source # 
Instance details

Defined in Data.CRF.Chain1.Feature

Binary Feature Source # 
Instance details

Defined in Data.CRF.Chain1.Feature

Methods

put :: Feature -> Put #

get :: Get Feature #

putList :: [Feature] -> Put #

featuresIn :: Xs -> Ys -> [(Feature, LogFloat)] Source #

All features with assigned probabilities in given labeled sentence.