def instantiate_prior(self):
unif = UniformDistribution(
np.array([[0, 1], [0, 1], [0, 1], [0, 1], [0, 1], [0, 1]]))
return ConstrainedSumDistribution(unif, desired_total=1)
def instantiate_prior(self):
die = ConstrainedSumDistribution(UniformDistribution(
np.array([[.45, .55]] * 6)),
desired_total=1)
walk = UniformDistribution([[0, 1]] * 3)
return ProductDistribution(die, walk)