def compute_prior(self):
self.prior = GaussianLOTHypothesis.compute_prior(self)
self.prior += sum(
map(lambda x: normlogpdf(x, 0.0, CONSTANT_SD),
self.CONSTANT_VALUES))
self.posterior_score = self.prior + self.likelihood
return self.prior
def compute_prior(self):
self.prior = GaussianLOTHypothesis.compute_prior(self)
self.prior += sum(map(lambda x: normlogpdf(x,0.0,CONSTANT_SD), self.CONSTANT_VALUES))
self.posterior_score = self.prior + self.likelihood
return self.prior
