Multi-Variate Axis-Aligned principal component Gaussian PDF. More...
#include <vpdfl_pc_gaussian_sampler.h>
Public Member Functions | |
| double | log_p (const vnl_vector< double > &x) |
| Calculate the log probability density at position x. | |
| 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. | |
| virtual void | sample (vnl_vector< double > &x) |
| Draw random sample from Gaussian distribution. | |
| virtual void | reseed (unsigned long) |
| Reseeds the internal random number generator. | |
| const vpdfl_gaussian & | gaussian () const |
| Return a reference to the pdf model. | |
| const vpdfl_pdf_base & | model () const |
| PDF of which this is an instance. | |
| virtual void | set_model (const vpdfl_pdf_base &) |
| Set model for 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 Attributes | |
| vnl_vector< double > | dx_ |
| workspace;. | |
| vnl_vector< double > | b_ |
| workspace;. | |
Detailed Description
Multi-Variate Axis-Aligned principal component Gaussian PDF.
Definition at line 26 of file vpdfl_pc_gaussian_sampler.h.
Member Function Documentation
| vpdfl_sampler_base * vpdfl_pc_gaussian_sampler::clone | ( | ) | const [virtual] |
Create a copy on the heap and return base class pointer.
Reimplemented from vpdfl_gaussian_sampler.
Definition at line 47 of file vpdfl_pc_gaussian_sampler.cxx.
| const vpdfl_gaussian & vpdfl_gaussian_sampler::gaussian | ( | ) | const [inherited] |
Return a reference to the pdf model.
This is properly cast.
Definition at line 66 of file vpdfl_gaussian_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.
| vcl_string vpdfl_pc_gaussian_sampler::is_a | ( | ) | const [virtual] |
Name of the class.
Reimplemented from vpdfl_gaussian_sampler.
Definition at line 20 of file vpdfl_pc_gaussian_sampler.cxx.
| bool vpdfl_pc_gaussian_sampler::is_class | ( | vcl_string const & | s | ) | const [virtual] |
Does the name of the class match the argument?.
Reimplemented from vpdfl_gaussian_sampler.
Definition at line 29 of file vpdfl_pc_gaussian_sampler.cxx.
| double vpdfl_pc_gaussian_sampler::log_p | ( | const vnl_vector< double > & | x | ) |
Calculate the log probability density at position x.
| 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.
| 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.
| void vpdfl_sampler_base::regular_samples_and_prob | ( | vcl_vector< vnl_vector< double > > & | x, |
| vnl_vector< double > & | p | ||
| ) | [virtual, inherited] |
Fill x with samples possibly chosen so as to represent the distribution.
As regular_samples(x), but p[i] is set to p(x[i])
Definition at line 67 of file vpdfl_sampler_base.cxx.
| void vpdfl_gaussian_sampler::reseed | ( | unsigned long | seed | ) | [virtual, inherited] |
Reseeds the internal random number generator.
To achieve quasi-random initialisation use;
#include <vcl_ctime.h>
..
sampler.reseed(vcl_time(0));
Implements vpdfl_sampler_base.
Definition at line 56 of file vpdfl_gaussian_sampler.cxx.
| void vpdfl_gaussian_sampler::sample | ( | vnl_vector< double > & | x | ) | [virtual, inherited] |
Draw random sample from Gaussian distribution.
Implements vpdfl_sampler_base.
Definition at line 73 of file vpdfl_gaussian_sampler.cxx.
| void vpdfl_sampler_base::set_model | ( | const vpdfl_pdf_base & | model | ) | [virtual, inherited] |
Set model for which this is an instance.
Reimplemented in vpdfl_mixture_sampler, vpdfl_axis_gaussian_sampler, and vpdfl_gaussian_kernel_pdf_sampler.
Definition at line 34 of file vpdfl_sampler_base.cxx.
| short vpdfl_pc_gaussian_sampler::version_no | ( | ) | const |
Version number for I/O.
Definition at line 38 of file vpdfl_pc_gaussian_sampler.cxx.
Member Data Documentation
vnl_vector<double> vpdfl_pc_gaussian_sampler::b_ [private] |
workspace;.
Reimplemented from vpdfl_gaussian_sampler.
Definition at line 31 of file vpdfl_pc_gaussian_sampler.h.
vnl_vector<double> vpdfl_pc_gaussian_sampler::dx_ [private] |
workspace;.
Definition at line 29 of file vpdfl_pc_gaussian_sampler.h.
const vpdfl_pdf_base* vpdfl_sampler_base::pdf_model_ [protected, inherited] |
Definition at line 31 of file vpdfl_sampler_base.h.
vnl_random vpdfl_gaussian_sampler::rng_ [protected, inherited] |
The random number generator.
Definition at line 27 of file vpdfl_gaussian_sampler.h.
The documentation for this class was generated from the following files:
- contrib/mul/vpdfl/vpdfl_pc_gaussian_sampler.h
- contrib/mul/vpdfl/vpdfl_pc_gaussian_sampler.cxx
