Variables
discrete_bayesian_parameter_estimation_sample Namespace Reference

Variables

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

Variable Documentation

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


pgm_learner
Author(s): Yuki Furuta
autogenerated on Wed Jul 10 2019 03:47:12