Approximates both success and failure distributions as simple Gaussians with means and stds. More...
#include <conditional_probability_distributions.h>
Public Member Functions | |
virtual void | evaluateConditionalProbs (double quality, double &success_cond_prob, double &failure_cond_prob)=0 |
GaussianCPD (double success_mean, double success_std, double failure_mean, double failure_std) | |
Protected Attributes | |
double | failure_mean_ |
double | failure_std_ |
double | success_mean_ |
double | success_std_ |
Approximates both success and failure distributions as simple Gaussians with means and stds.
Definition at line 55 of file conditional_probability_distributions.h.
probabilistic_grasp_planner::GaussianCPD::GaussianCPD | ( | double | success_mean, | |
double | success_std, | |||
double | failure_mean, | |||
double | failure_std | |||
) | [inline] |
Definition at line 63 of file conditional_probability_distributions.h.
virtual void probabilistic_grasp_planner::GaussianCPD::evaluateConditionalProbs | ( | double | quality, | |
double & | success_cond_prob, | |||
double & | failure_cond_prob | |||
) | [pure virtual] |
double probabilistic_grasp_planner::GaussianCPD::failure_mean_ [protected] |
Definition at line 60 of file conditional_probability_distributions.h.
double probabilistic_grasp_planner::GaussianCPD::failure_std_ [protected] |
Definition at line 61 of file conditional_probability_distributions.h.
double probabilistic_grasp_planner::GaussianCPD::success_mean_ [protected] |
Definition at line 58 of file conditional_probability_distributions.h.
double probabilistic_grasp_planner::GaussianCPD::success_std_ [protected] |
Definition at line 59 of file conditional_probability_distributions.h.