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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