`altar.cuda.models.cudaParameterSet`

Module Contents

Classes

class altar.cuda.models.cudaParameterSet.cudaParameterSet(name, locator, **kwds)

Bases: altar.models.Contiguous.Contiguous

A contiguous parameter set

count

doc = the number of parameters in this set

prior

doc = the prior distribution

prep

doc = the distribution to use to initialize this parameter set

offset = 0

cuInitialize(self, application): cuda initialization

cuInitSample(self, theta, batch=None): Fill {theta} with an initial random sample from my prior distribution.

cuEvalPrior(self, theta, prior, batch=None): Fill {priorLLK} with the log likelihoods of the samples in {theta} in my prior distribution

cuVerify(self, theta, mask, batch=None): Check whether the samples in {step.theta} are consistent with the model requirements and update the {mask}, a vector with zeroes for valid samples and non-zero for invalid ones

cuRestrict(self, theta): Return my portion of the sample matrix {theta}