Math.HiddenMarkovModel.Example.SineWave

Warning: do not import that module, it is only intended for demonstration

Example of an HMM with continuous emissions. We train a model to accept sine waves of a certain frequency.

There are four hidden states: Rising, High, Falling, Low.

Documentation

data State

Constructors

Rising

High

Falling

Low

Instances

Bounded State

Defined in Math.HiddenMarkovModel.Example.SineWave

Methods

minBound :: State

maxBound :: State

Enum State

Defined in Math.HiddenMarkovModel.Example.SineWave

Methods

succ :: State -> State

pred :: State -> State

toEnum :: Int -> State

fromEnum :: State -> Int

enumFrom :: State -> [State]

enumFromThen :: State -> State -> [State]

enumFromTo :: State -> State -> [State]

enumFromThenTo :: State -> State -> State -> [State]

Eq State

Defined in Math.HiddenMarkovModel.Example.SineWave

Methods

(==) :: State -> State -> Bool

(/=) :: State -> State -> Bool

Ord State

Defined in Math.HiddenMarkovModel.Example.SineWave

Methods

compare :: State -> State -> Ordering

(<) :: State -> State -> Bool

(<=) :: State -> State -> Bool

(>) :: State -> State -> Bool

(>=) :: State -> State -> Bool

max :: State -> State -> State

min :: State -> State -> State

type StateSet = Enumeration State

stateSet :: StateSet

type HMM = Gaussian () StateSet Double

hmm :: HMM

stateVector :: Double -> Double -> Double -> Double -> Vector StateSet Double

sineWaveLabeled :: T [] (State, Double)

sineWave :: T [] Double

revealed :: T [] State

hmmTrainedSupervised :: HMM

hmmTrainedUnsupervised :: HMM

hmmIterativelyTrained :: HMM