models.py 文件源码

def R(self,pa,eta):
        """ returns the ratio of the probability of the given assignment under each action to the probability under the eta weighted sum of actions. """
        Q = (eta*pa).sum()
        ratio = np.true_divide(pa,Q)
        ratio[np.isnan(ratio)] = 0 # we get nan when 0/0 but should just be 0 in this case
        return ratio