Instance class for vpdfl_mixture. More...

#include <vpdfl_mixture_sampler.h>

Inheritance diagram for vpdfl_mixture_sampler:

Public Member Functions
	vpdfl_mixture_sampler ()
	Dflt ctor.
	vpdfl_mixture_sampler (const vpdfl_mixture_sampler &)
	Copy ctor.
vpdfl_mixture_sampler &	operator= (const vpdfl_mixture_sampler &)
	Copy operator.
virtual	~vpdfl_mixture_sampler ()
	Destructor.
virtual void	set_model (const vpdfl_pdf_base &)
	Set model for which this is an instance.
const vpdfl_mixture &	mixture () const
virtual void	sample (vnl_vector< double > &x)
	Draw random sample from distribution.
virtual void	reseed (unsigned long)
	Reseeds the static random number generator (one per derived class).
short	version_no () const
	Version number for I/O.
virtual vcl_string	is_a () const
	Name of the class.
virtual bool	is_class (vcl_string const &s) const
	Does the name of the class match the argument?.
virtual vpdfl_sampler_base *	clone () const
	Create a copy on the heap and return base class pointer.
const vpdfl_pdf_base &	model () const
	PDF of which this is an instance.
virtual void	get_samples (vcl_vector< vnl_vector< double > > &x)
	Fill x with samples drawn from distribution.
virtual void	regular_samples (vcl_vector< vnl_vector< double > > &x)
	Fill x with samples possibly chosen so as to represent the distribution.
virtual void	regular_samples_and_prob (vcl_vector< vnl_vector< double > > &x, vnl_vector< double > &p)
	Fill x with samples possibly chosen so as to represent the distribution.
virtual void	print_summary (vcl_ostream &os) const
	Print class to os.
Protected Attributes
vnl_random	rng_
	The random number generator.
const vpdfl_pdf_base *	pdf_model_
Private Member Functions
void	init ()
void	delete_stuff ()
Private Attributes
vcl_vector< vpdfl_sampler_base * >	inst_
	workspace.

Detailed Description

Instance class for vpdfl_mixture.

Implements calculation of prob, gradient, sampling etc

Definition at line 20 of file vpdfl_mixture_sampler.h.

Constructor & Destructor Documentation

vpdfl_mixture_sampler::vpdfl_mixture_sampler ( )

Dflt ctor.

Definition at line 29 of file vpdfl_mixture_sampler.cxx.

vpdfl_mixture_sampler::vpdfl_mixture_sampler ( const vpdfl_mixture_sampler & m )

Copy ctor.

Definition at line 35 of file vpdfl_mixture_sampler.cxx.

vpdfl_mixture_sampler::~vpdfl_mixture_sampler ( ) [virtual]

Destructor.

Definition at line 66 of file vpdfl_mixture_sampler.cxx.

Member Function Documentation

vpdfl_sampler_base * vpdfl_mixture_sampler::clone ( ) const [virtual]

Create a copy on the heap and return base class pointer.

Implements vpdfl_sampler_base.

Definition at line 150 of file vpdfl_mixture_sampler.cxx.

void vpdfl_mixture_sampler::delete_stuff ( ) [private]

Definition at line 58 of file vpdfl_mixture_sampler.cxx.

void vpdfl_sampler_base::get_samples ( vcl_vector< vnl_vector< double > > & x ) [virtual, inherited]

Fill x with samples drawn from distribution.

Definition at line 48 of file vpdfl_sampler_base.cxx.

void vpdfl_mixture_sampler::init ( ) [private]

Definition at line 25 of file vpdfl_mixture_sampler.cxx.

vcl_string vpdfl_mixture_sampler::is_a ( ) const [virtual]

Name of the class.

Reimplemented from vpdfl_sampler_base.

Definition at line 129 of file vpdfl_mixture_sampler.cxx.

bool vpdfl_mixture_sampler::is_class ( vcl_string const & s ) const [virtual]

Does the name of the class match the argument?.

Reimplemented from vpdfl_sampler_base.

Definition at line 136 of file vpdfl_mixture_sampler.cxx.

const vpdfl_mixture & vpdfl_mixture_sampler::mixture ( ) const

Definition at line 73 of file vpdfl_mixture_sampler.cxx.

const vpdfl_pdf_base & vpdfl_sampler_base::model ( ) const [inherited]

PDF of which this is an instance.

Definition at line 40 of file vpdfl_sampler_base.cxx.

vpdfl_mixture_sampler & vpdfl_mixture_sampler::operator= ( const vpdfl_mixture_sampler & m )

Copy operator.

Definition at line 42 of file vpdfl_mixture_sampler.cxx.

void vpdfl_sampler_base::print_summary ( vcl_ostream & os ) const [virtual, inherited]

Print class to os.

Definition at line 104 of file vpdfl_sampler_base.cxx.

void vpdfl_sampler_base::regular_samples ( vcl_vector< vnl_vector< double > > & x ) [virtual, inherited]

Fill x with samples possibly chosen so as to represent the distribution.

Generate a set of pseudo-random samples, chosen so as to be suitable to represent the distribution. This is meant to be used for estimating continuous integrals with sampled approximations. Where there are multiple peaks (e.g. kernel or mixture models), it is preferred that the number of samples from each component is roughly proportional to the weight for the component. When small numbers are requested, this can be done explicitly. The default is simply to call sample() for each element of x

Reimplemented in vpdfl_gaussian_kernel_pdf_sampler.

Definition at line 57 of file vpdfl_sampler_base.cxx.