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discrete_bayesian_parameter_estimation_sample.py File Reference
Go to the source code of this file.
Namespaces
namespace
discrete_bayesian_parameter_estimation_sample
Variables
tuple
discrete_bayesian_parameter_estimation_sample.bn
= DiscreteBayesianNetwork(skel, teacher_nd)
tuple
discrete_bayesian_parameter_estimation_sample.data
= bn.randomsample(200)
tuple
discrete_bayesian_parameter_estimation_sample.dpath
= os.path.join(PKG_PATH, "test", "graph-test.txt")
tuple
discrete_bayesian_parameter_estimation_sample.gs
= DiscreteGraphState()
tuple
discrete_bayesian_parameter_estimation_sample.param_estimate
= rospy.ServiceProxy("pgm_learner/discrete/parameter_estimation", DiscreteParameterEstimation)
tuple
discrete_bayesian_parameter_estimation_sample.PKG_PATH
= rospkg.RosPack()
tuple
discrete_bayesian_parameter_estimation_sample.PP
= pprint.PrettyPrinter(indent=2)
tuple
discrete_bayesian_parameter_estimation_sample.req
= DiscreteParameterEstimationRequest()
tuple
discrete_bayesian_parameter_estimation_sample.skel
= GraphSkeleton()
tuple
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 03:24:11