`altar.models.ParameterSet`

Module Contents

Classes

class altar.models.ParameterSet.ParameterSet

Bases: altar.protocol

The protocol that all AlTar parameter sets must implement

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

initialize(self, model, offset): Initialize the parameter set given the {model} that owns it

initializeSample(self, theta): Fill {theta} with an initial random sample from my prior distribution.

priorLikelihood(self, theta, priorLLK): Fill {priorLLK} with the likelihoods of the samples in {theta} in my prior distribution

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

classmethod pyre_default(cls, **kwds): Supply a default implementation