Safe Haskell	None
Language	Haskell2010

Normal

Synopsis

Documentation

Creates a normal (also called Gaussian) distribution parameterized by loc and scale. Example:

>>> m = Normal (asTensor ([0.0] :: [Float])) (asTensor ([1.0] :: [Float]))
>>> sample m []
Tensor Float [1] [-0.1205   ]

Constructors

Normal
Fields loc :: Tensor mean of the distribution (often referred to as mu) scale :: Tensor standard deviation of the distribution (often referred to as sigma)

Instances details

Show Normal Source #
Instance details Defined in Normal Methods showsPrec :: Int -> Normal -> ShowS # show :: Normal -> String # showList :: [Normal] -> ShowS #
Distribution Normal Source #
Instance details Defined in Normal Methods batchShape :: Normal -> [Int] # eventShape :: Normal -> [Int] # expand :: Normal -> [Int] -> Normal # support :: Normal -> Constraint # mean :: Normal -> Tensor # variance :: Normal -> Tensor # sample :: Normal -> [Int] -> IO Tensor # logProb :: Normal -> Tensor -> Tensor # entropy :: Normal -> Tensor # enumerateSupport :: Normal -> Bool -> Tensor #

PDF for given Normal Distribution