Control.Monad.Bayes.Density.Free

Density is a free monad transformer over random sampling.

Documentation

data Density m a

Free monad transformer over random sampling.

Uses the Church-encoded version of the free monad for efficiency.

Instances

MonadTrans Density

Defined in Control.Monad.Bayes.Density.Free

Methods

lift :: Monad m => m a -> Density m a

Applicative (Density m)

Defined in Control.Monad.Bayes.Density.Free

Methods

pure :: a -> Density m a

(<*>) :: Density m (a -> b) -> Density m a -> Density m b

liftA2 :: (a -> b -> c) -> Density m a -> Density m b -> Density m c

(*>) :: Density m a -> Density m b -> Density m b

(<*) :: Density m a -> Density m b -> Density m a

Functor (Density m)

Defined in Control.Monad.Bayes.Density.Free

Methods

fmap :: (a -> b) -> Density m a -> Density m b

(<$) :: a -> Density m b -> Density m a

Monad (Density m)

Defined in Control.Monad.Bayes.Density.Free

Methods

(>>=) :: Density m a -> (a -> Density m b) -> Density m b

(>>) :: Density m a -> Density m b -> Density m b

return :: a -> Density m a

Monad m => MonadDistribution (Density m)

Defined in Control.Monad.Bayes.Density.Free

Methods

random :: Density m Double

uniform :: Double -> Double -> Density m Double

normal :: Double -> Double -> Density m Double

gamma :: Double -> Double -> Density m Double

beta :: Double -> Double -> Density m Double

bernoulli :: Double -> Density m Bool

categorical :: Vector v Double => v Double -> Density m Int

logCategorical :: (Vector v (Log Double), Vector v Double) => v (Log Double) -> Density m Int

uniformD :: [a] -> Density m a

geometric :: Double -> Density m Int

poisson :: Double -> Density m Int

dirichlet :: Vector v Double => v Double -> Density m (v Double)

hoist :: (Monad m, Monad n) => (forall x. m x -> n x) -> Density m a -> Density n a

Hoist Density through a monad transform.

interpret :: MonadDistribution m => Density m a -> m a

Execute random sampling in the transformed monad.

withRandomness :: Monad m => [Double] -> Density m a -> m a

Execute computation with supplied values for random choices.

density :: MonadDistribution m => [Double] -> Density m a -> m (a, [Double])

Execute computation with supplied values for a subset of random choices. Return the output value and a record of all random choices used, whether taken as input or drawn using the transformed monad.

traced :: MonadDistribution m => [Double] -> Density Identity a -> m (a, [Double])

Like density, but use an arbitrary sampling monad.