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()