observation Class Reference

#include <observation_types.h>

Inheritance diagram for observation:

Public Member Functions
void	set_default_values (void)

Public Attributes
ls_minimizer_type	squared_c_current
ls_minimizer_type	squared_c
ls_minimizer_type	c_min
ls_minimizer_type	c_max
ls_minimizer_type	weight
ls_minimizer_type	sqrt_weight
double	confidence
bool	outlier
bool	ground_truth_outlier

Detailed Description

Definition at line 29 of file observation_types.h.

Member Function Documentation

void observation::set_default_values ( void  )

inline

Definition at line 32 of file observation_types.h.

References confidence, ground_truth_outlier, sqrt_weight, squared_c, and weight.

Member Data Documentation

ls_minimizer_type observation::c_max

Definition at line 33 of file observation_types.h.

ls_minimizer_type observation::c_min

Definition at line 33 of file observation_types.h.

double observation::confidence

Definition at line 35 of file observation_types.h.

Referenced by set_default_values().

bool observation::ground_truth_outlier

Definition at line 36 of file observation_types.h.

Referenced by set_default_values().

bool observation::outlier

Definition at line 36 of file observation_types.h.

ls_minimizer_type observation::sqrt_weight

Definition at line 34 of file observation_types.h.

Referenced by set_default_values().

ls_minimizer_type observation::squared_c

Definition at line 33 of file observation_types.h.

Referenced by set_default_values().

ls_minimizer_type observation::squared_c_current

Definition at line 33 of file observation_types.h.

ls_minimizer_type observation::weight

Definition at line 34 of file observation_types.h.

Referenced by set_default_values().

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The documentation for this class was generated from the following file:

• /home/adrien/Téléchargements/bazar/bazar-1.3.1/starter/optimization/observation_types.h