linear_gaussian_bayesian_parameter_estimation_sample.py File Reference

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Namespaces
	linear_gaussian_bayesian_parameter_estimation_sample

Variables
	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")