Entropy.Algorithm

Documentation

cluster :: Bool -> ClusterSet (Int, String) -> [X (Int, String)] -> ClusterSet (Int, String)

clusterBeam :: Int -> Bool -> ClusterSet (Int, String) -> [X (Int, String)] -> ClusterSet (Int, String)

clusterToken :: Bool -> ClusterSet (Int, String) -> X (Int, String) -> [(Y, ClusterSet (Int, String))]

labelToken :: ClusterSet (Int, String) -> X (Int, String) -> Y

labelToken: output a single label (from a closed set)

clusterWords :: [Int] -> ClusterSet (Int, String) -> [String] -> [String]

data ClusterSet x

Constructors

CS

Fields

countY :: Map Y Count

hY :: !H

countXY :: Map Y (Map x Count)

hXY :: Map Y H

countN :: !Count

lastID :: !Y

Instances

Eq x => Eq (ClusterSet x)

Ord x => Ord (ClusterSet x)

Show x => Show (ClusterSet x)

(Ord x, Binary x) => Binary (ClusterSet x)

weightedhXY :: ClusterSet x -> Double

empty :: ClusterSet x

makeClusterSet :: Map Y (Map x Count) -> ClusterSet x

type X k = Map k Count

type Y = Int

type Count = Double

featIDs :: (Ord a, Ord b) => ClusterSet (a, b) -> [a]

predictX0 :: ClusterSet (Int, String) -> X (Int, String) -> [String]

predictX0Full :: ClusterSet (Int, String) -> X (Int, String) -> [String]

clusterLabelToX0 :: ClusterSet (Int, String) -> Y -> [String]

defocus :: X (Int, String) -> X (Int, String)

getX0 :: X (Int, String) -> String

examples :: [Int] -> [[Token]] -> [[X (Int, String)]]

display :: (Y, Map (Int, String) Double) -> String

getLabeler :: Bool -> Maybe FilePath -> FilePath -> IO ([String] -> [String])