`altar.distributions.Base`

Module Contents

Classes

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

Bases: altar.component

The base class for probability distributions

parameters

doc = the number of model parameters that belong to me

offset

doc = the starting point of my parameters in the overall model state

pdf

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

initializeSample(self, theta): Fill my portion of {theta} with initial random values from my distribution.

priorLikelihood(self, theta, likelihood): Fill my portion of {likelihood} with the likelihoods of the samples in {theta}

abstract 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

sample(self): Sample the distribution using a random number generator

density(self, x): Compute the probability density of the distribution at {x}

vector(self, vector): Fill {vector} with random values

matrix(self, matrix): Fill {matrix} with random values

restrict(self, theta): Return my portion of the {theta}