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linear_gaussian_bayesian_parameter_estimation_sample.py File Reference

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Namespaces

namespace  linear_gaussian_bayesian_parameter_estimation_sample

Variables

tuple linear_gaussian_bayesian_parameter_estimation_sample.bn = LGBayesianNetwork(skel, teacher_nd)
tuple linear_gaussian_bayesian_parameter_estimation_sample.data = bn.randomsample(200)
tuple linear_gaussian_bayesian_parameter_estimation_sample.dpath = os.path.join(PKG_PATH, "test", "graph-test.txt")
tuple linear_gaussian_bayesian_parameter_estimation_sample.gs = LinearGaussianGraphState()
tuple linear_gaussian_bayesian_parameter_estimation_sample.param_estimate = rospy.ServiceProxy("pgm_learner/linear_gaussian/parameter_estimation", LinearGaussianParameterEstimation)
tuple linear_gaussian_bayesian_parameter_estimation_sample.PKG_PATH = rospkg.RosPack()
tuple linear_gaussian_bayesian_parameter_estimation_sample.PP = pprint.PrettyPrinter(indent=2)
tuple linear_gaussian_bayesian_parameter_estimation_sample.req = LinearGaussianParameterEstimationRequest()
tuple linear_gaussian_bayesian_parameter_estimation_sample.skel = GraphSkeleton()
tuple linear_gaussian_bayesian_parameter_estimation_sample.teacher_nd = NodeData()
tuple 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 Wed Jul 10 2019 03:24:11