`altar.distributions.Gaussian`

Module Contents

Classes

class altar.distributions.Gaussian.Gaussian(name, locator, **kwds)

Bases: altar.distributions.Base.Base

The Gaussian probability distribution

mean

doc = the mean value of the distribution

sigma

doc = the standard deviation of the distribution

initialize(self, rng): Initialize with the given random number generator

verify(self, theta, mask): Check whether my portion of the samples in {theta} are consistent with my constraints, and update {mask}, a vector with zeroes for valid samples and non-zero for invalid ones