Variables
linear_gaussian_bayesian_parameter_estimation_sample Namespace Reference

Variables

 bn = LGBayesianNetwork(skel, teacher_nd)
 
 data = bn.randomsample(200)
 
 dpath = os.path.join(PKG_PATH, "test", "graph-test.txt")
 
 edges
 
 gs = LinearGaussianGraphState()
 
 nodes
 
 param_estimate = rospy.ServiceProxy("pgm_learner/linear_gaussian/parameter_estimation", LinearGaussianParameterEstimation)
 
 PKG_PATH = rospkg.RosPack().get_path("pgm_learner")
 
 PP = pprint.PrettyPrinter(indent=2)
 
 req = LinearGaussianParameterEstimationRequest()
 
 skel = GraphSkeleton()
 
 teacher_nd = NodeData()
 
 tpath = os.path.join(PKG_PATH, "test", "graph-lg-test.txt")
 

Variable Documentation

linear_gaussian_bayesian_parameter_estimation_sample.bn = LGBayesianNetwork(skel, teacher_nd)
linear_gaussian_bayesian_parameter_estimation_sample.data = bn.randomsample(200)
linear_gaussian_bayesian_parameter_estimation_sample.dpath = os.path.join(PKG_PATH, "test", "graph-test.txt")
linear_gaussian_bayesian_parameter_estimation_sample.edges
linear_gaussian_bayesian_parameter_estimation_sample.gs = LinearGaussianGraphState()
linear_gaussian_bayesian_parameter_estimation_sample.nodes
linear_gaussian_bayesian_parameter_estimation_sample.param_estimate = rospy.ServiceProxy("pgm_learner/linear_gaussian/parameter_estimation", LinearGaussianParameterEstimation)
linear_gaussian_bayesian_parameter_estimation_sample.PKG_PATH = rospkg.RosPack().get_path("pgm_learner")
linear_gaussian_bayesian_parameter_estimation_sample.PP = pprint.PrettyPrinter(indent=2)
linear_gaussian_bayesian_parameter_estimation_sample.req = LinearGaussianParameterEstimationRequest()
linear_gaussian_bayesian_parameter_estimation_sample.skel = GraphSkeleton()
linear_gaussian_bayesian_parameter_estimation_sample.teacher_nd = NodeData()
linear_gaussian_bayesian_parameter_estimation_sample.tpath = os.path.join(PKG_PATH, "test", "graph-lg-test.txt")


pgm_learner
Author(s): Yuki Furuta
autogenerated on Tue May 11 2021 02:55:44