discrete_bayesian_parameter_estimation_sample.py File Reference

Go to the source code of this file.

Namespaces
	discrete_bayesian_parameter_estimation_sample

Variables
	discrete_bayesian_parameter_estimation_sample.bn = DiscreteBayesianNetwork(skel, teacher_nd)
	discrete_bayesian_parameter_estimation_sample.data = bn.randomsample(200)
	discrete_bayesian_parameter_estimation_sample.dpath = os.path.join(PKG_PATH, "test", "graph-test.txt")
	discrete_bayesian_parameter_estimation_sample.edges
	discrete_bayesian_parameter_estimation_sample.gs = DiscreteGraphState()
	discrete_bayesian_parameter_estimation_sample.nodes
	discrete_bayesian_parameter_estimation_sample.param_estimate = rospy.ServiceProxy("pgm_learner/discrete/parameter_estimation", DiscreteParameterEstimation)
	discrete_bayesian_parameter_estimation_sample.PKG_PATH = rospkg.RosPack().get_path("pgm_learner")
	discrete_bayesian_parameter_estimation_sample.PP = pprint.PrettyPrinter(indent=2)
	discrete_bayesian_parameter_estimation_sample.req = DiscreteParameterEstimationRequest()
	discrete_bayesian_parameter_estimation_sample.skel = GraphSkeleton()
	discrete_bayesian_parameter_estimation_sample.teacher_nd = NodeData()
	discrete_bayesian_parameter_estimation_sample.tpath = dpath