#include <rrel_wgted_ran_sam_search.h>

Inheritance diagram for rrel_wgted_ran_sam_search:

Classes
struct	prob_interval
Public Member Functions
	rrel_wgted_ran_sam_search ()
	Constructor using a non-deterministic random-sampling seed.
	rrel_wgted_ran_sam_search (int seed)
	Constructor using a given random-sampling seed.
	~rrel_wgted_ran_sam_search ()
virtual bool	estimate (const rrel_estimation_problem problem, const rrel_objective obj_fcn)
	Estimation for an "ordinary" estimation problem.
void	set_gen_all_samples ()
	Indicate that all possible minimal subset samples should be tried.
void	set_sampling_params (double max_outlier_frac=0.5, double desired_prob_good=0.99, unsigned int max_populations_expected=1, unsigned int min_samples=0)
	Set the parameters for random sampling.
double	scale () const
	Get the scale estimate.
const vnl_vector< double > &	params () const
	Get the parameter estimate.
const vcl_vector< int > &	index () const
	Get the indices of best data sample.
const vcl_vector< double > &	residuals () const
	Get the residuals for best sample.
double	cost () const
	Get the cost for best sample returned by rrel_objective function.
int	samples_tested () const
	Get the number of samples tested in during estimation.
void	print_params () const
	Print the sampling parameters. Used for debugging.
void	set_trace_level (int level)
Protected Member Functions
virtual void	next_sample (unsigned int taken, unsigned int num_points, vcl_vector< int > &sample, unsigned int points_per_sample)
	Determine the next random sample, filling in the "sample" vector.
virtual void	calc_num_samples (const rrel_estimation_problem *problem)
	Calculate number of samples --- non-unique matching estimation problems.
Protected Attributes
vcl_vector< prob_interval >	intervals_
	store the intervals.
bool	is_sim_wgt_set_
double	max_outlier_frac_
double	desired_prob_good_
unsigned int	max_populations_expected_
unsigned int	min_samples_
bool	generate_all_
vnl_random *	generator_
	Random number generator.
bool	own_generator_
vnl_vector< double >	params_
double	scale_
vcl_vector< int >	indices_
vcl_vector< double >	residuals_
double	min_obj_
unsigned int	samples_to_take_
int	trace_level_

Detailed Description

Definition at line 12 of file rrel_wgted_ran_sam_search.h.

Constructor & Destructor Documentation

rrel_wgted_ran_sam_search::rrel_wgted_ran_sam_search ( ) [inline]

Constructor using a non-deterministic random-sampling seed.

Definition at line 16 of file rrel_wgted_ran_sam_search.h.

rrel_wgted_ran_sam_search::rrel_wgted_ran_sam_search ( int seed ) [inline]

Constructor using a given random-sampling seed.

Definition at line 21 of file rrel_wgted_ran_sam_search.h.

rrel_wgted_ran_sam_search::~rrel_wgted_ran_sam_search ( )

Definition at line 12 of file rrel_wgted_ran_sam_search.cxx.

Member Function Documentation

void rrel_ran_sam_search::calc_num_samples ( const rrel_estimation_problem * problem ) [protected, virtual, inherited]

Calculate number of samples --- non-unique matching estimation problems.

Definition at line 186 of file rrel_ran_sam_search.cxx.

double rrel_ran_sam_search::cost ( ) const [inline, inherited]

Get the cost for best sample returned by rrel_objective function.

Definition at line 90 of file rrel_ran_sam_search.h.

bool rrel_wgted_ran_sam_search::estimate	(	const rrel_estimation_problem *	problem,
		const rrel_objective *	obj_fcn
	)		`[virtual]`

Estimation for an "ordinary" estimation problem.

Reimplemented from rrel_ran_sam_search.

Definition at line 21 of file rrel_wgted_ran_sam_search.cxx.

const vcl_vector<int>& rrel_ran_sam_search::index ( ) const [inline, inherited]

Get the indices of best data sample.

Definition at line 84 of file rrel_ran_sam_search.h.

void rrel_wgted_ran_sam_search::next_sample	(	unsigned int	taken,
		unsigned int	num_points,
		vcl_vector< int > &	sample,
		unsigned int	points_per_sample
	)		`[protected, virtual]`

Determine the next random sample, filling in the "sample" vector.

Reimplemented from rrel_ran_sam_search.

Definition at line 57 of file rrel_wgted_ran_sam_search.cxx.

const vnl_vector<double>& rrel_ran_sam_search::params ( ) const [inline, inherited]

Get the parameter estimate.

Definition at line 81 of file rrel_ran_sam_search.h.

void rrel_ran_sam_search::print_params ( ) const [inherited]

Print the sampling parameters. Used for debugging.

Definition at line 282 of file rrel_ran_sam_search.cxx.

const vcl_vector<double>& rrel_ran_sam_search::residuals ( ) const [inline, inherited]

Get the residuals for best sample.

Definition at line 87 of file rrel_ran_sam_search.h.

int rrel_ran_sam_search::samples_tested ( ) const [inline, inherited]

Get the number of samples tested in during estimation.

Definition at line 93 of file rrel_ran_sam_search.h.

double rrel_ran_sam_search::scale ( ) const [inline, inherited]

Get the scale estimate.

Definition at line 78 of file rrel_ran_sam_search.h.

void rrel_ran_sam_search::set_gen_all_samples ( ) [inherited]

Indicate that all possible minimal subset samples should be tried.

Definition at line 52 of file rrel_ran_sam_search.cxx.

void rrel_ran_sam_search::set_sampling_params	(	double	max_outlier_frac = `0.5`,
		double	desired_prob_good = `0.99`,
		unsigned int	max_populations_expected = `1`,
		unsigned int	min_samples = `0`
	)		`[inherited]`