Safe Haskell	None
Language	Haskell2010

Text.HaskSeg.Probability

Documentation

data Prob Source #

Instances

Eq Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods (==) :: Prob -> Prob -> Bool # (/=) :: Prob -> Prob -> Bool #
Fractional Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods (/) :: Prob -> Prob -> Prob # recip :: Prob -> Prob # fromRational :: Rational -> Prob #
Num Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods (+) :: Prob -> Prob -> Prob # (-) :: Prob -> Prob -> Prob # (*) :: Prob -> Prob -> Prob # negate :: Prob -> Prob # abs :: Prob -> Prob # signum :: Prob -> Prob # fromInteger :: Integer -> Prob #
Ord Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods compare :: Prob -> Prob -> Ordering # (<) :: Prob -> Prob -> Bool # (<=) :: Prob -> Prob -> Bool # (>) :: Prob -> Prob -> Bool # (>=) :: Prob -> Prob -> Bool # max :: Prob -> Prob -> Prob # min :: Prob -> Prob -> Prob #
Read Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods readsPrec :: Int -> ReadS Prob # readList :: ReadS [Prob] # readPrec :: ReadPrec Prob # readListPrec :: ReadPrec [Prob] #
Show Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods showsPrec :: Int -> Prob -> ShowS # show :: Prob -> String # showList :: [Prob] -> ShowS #
Categorical Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods sampleCategorical :: MonadRandom m => Vector Prob -> m Int Source #
Probability Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods fromDouble :: Double -> Prob Source # toDouble :: Prob -> Double Source # unwrap :: Prob -> Double Source #

data LogProb Source #

Instances

Eq LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods (==) :: LogProb -> LogProb -> Bool # (/=) :: LogProb -> LogProb -> Bool #
Fractional LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods (/) :: LogProb -> LogProb -> LogProb # recip :: LogProb -> LogProb # fromRational :: Rational -> LogProb #
Num LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods (+) :: LogProb -> LogProb -> LogProb # (-) :: LogProb -> LogProb -> LogProb # (*) :: LogProb -> LogProb -> LogProb # negate :: LogProb -> LogProb # abs :: LogProb -> LogProb # signum :: LogProb -> LogProb # fromInteger :: Integer -> LogProb #
Ord LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods compare :: LogProb -> LogProb -> Ordering # (<) :: LogProb -> LogProb -> Bool # (<=) :: LogProb -> LogProb -> Bool # (>) :: LogProb -> LogProb -> Bool # (>=) :: LogProb -> LogProb -> Bool # max :: LogProb -> LogProb -> LogProb # min :: LogProb -> LogProb -> LogProb #
Read LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods readsPrec :: Int -> ReadS LogProb # readList :: ReadS [LogProb] # readPrec :: ReadPrec LogProb # readListPrec :: ReadPrec [LogProb] #
Show LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods showsPrec :: Int -> LogProb -> ShowS # show :: LogProb -> String # showList :: [LogProb] -> ShowS #
Categorical LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods sampleCategorical :: MonadRandom m => Vector LogProb -> m Int Source #
Probability LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods fromDouble :: Double -> LogProb Source # toDouble :: LogProb -> Double Source # unwrap :: LogProb -> Double Source #

showDist :: (Probability p, Show p) => Vector p -> String Source #

class (Ord p, Num p, Fractional p) => Probability p where Source #

Methods

fromDouble :: Double -> p Source #

toDouble :: p -> Double Source #

unwrap :: p -> Double Source #

Instances

Probability LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods fromDouble :: Double -> LogProb Source # toDouble :: LogProb -> Double Source # unwrap :: LogProb -> Double Source #
Probability Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods fromDouble :: Double -> Prob Source # toDouble :: Prob -> Double Source # unwrap :: Prob -> Double Source #

sampleCategorical :: (Categorical p, MonadRandom m) => Vector p -> m Int Source #

class Probability p => Categorical p Source #

Instances

Categorical LogProb Source #
Instance details Defined in Text.HaskSeg.Probability Methods sampleCategorical :: MonadRandom m => Vector LogProb -> m Int Source #
Categorical Prob Source #
Instance details Defined in Text.HaskSeg.Probability Methods sampleCategorical :: MonadRandom m => Vector Prob -> m Int Source #