本文整理匯總了Python中LOTlib.Hypotheses.LOTHypothesis.LOTHypothesis.compute_prior方法的典型用法代碼示例。如果您正苦於以下問題：Python LOTHypothesis.compute_prior方法的具體用法？Python LOTHypothesis.compute_prior怎麽用？Python LOTHypothesis.compute_prior使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類LOTlib.Hypotheses.LOTHypothesis.LOTHypothesis的用法示例。
在下文中一共展示了LOTHypothesis.compute_prior方法的2個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: compute_prior
# 需要導入模塊: from LOTlib.Hypotheses.LOTHypothesis import LOTHypothesis [as 別名]
# 或者: from LOTlib.Hypotheses.LOTHypothesis.LOTHypothesis import compute_prior [as 別名]
def compute_prior(self):
# Add together the LOT prior and the constant prior, here just a gaussian
return LOTHypothesis.compute_prior(self) +\
sum(map(lambda x: normlogpdf(x,0.0,self.constant_sd), self.parameters))示例2: compute_prior
# 需要導入模塊: from LOTlib.Hypotheses.LOTHypothesis import LOTHypothesis [as 別名]
# 或者: from LOTlib.Hypotheses.LOTHypothesis.LOTHypothesis import compute_prior [as 別名]
def compute_prior(self):
# Add together the structural prior and the constant prior
return LOTHypothesis.compute_prior(self) +\
sum(map(lambda x: normlogpdf(x,0.0,self.constant_sd), self.CONSTANT_VALUES))