import numpy
from primo.networks import BayesianNetwork
from primo.nodes import ContinuousNodeFactory
cnf = ContinuousNodeFactory()
age = cnf.createGaussNode("Plant_age")
#parameterization
age_b0=numpy.array([4])
age_variance=numpy.array([[2]])
age.set_density_parameters(age_b0,age_variance)
for i in range(8):
print age.sample()
