Base for classes to build clsfy_classifier_base objects. More...

#include <clsfy_rbf_svm_smo_1_builder.h>

Inheritance diagram for clsfy_rbf_svm_smo_1_builder:

Public Member Functions
	clsfy_rbf_svm_smo_1_builder ()
	Dflt ctor.
clsfy_classifier_base *	new_classifier () const
	Create empty model.
double	build (clsfy_classifier_base &classifier, mbl_data_wrapper< vnl_vector< double > > &inputs, unsigned nClasses, const vcl_vector< unsigned > &outputs) const
	Build model from data.
double	build (clsfy_classifier_base &classifier, mbl_data_wrapper< vnl_vector< double > > &inputs, const vcl_vector< unsigned > &outputs) const
	Build a classifier from data.
double	rbf_width () const
	Radius of Gaussian function.
void	set_rbf_width (double)
	Set the Radius of Gaussian function.
void	set_bound_on_multipliers (double C)
	Set C, the upper bound on the Lagrange multipliers.
double	bound_on_multipliers () const
	The upper bound on the Lagrange multipliers.
vcl_string	is_a () const
	Name of the class.
bool	is_class (vcl_string const &s) const
	Name of the class.
short	version_no () const
	Return the class's IO version number.
clsfy_builder_base *	clone () const
	Create a copy on the heap and return base class pointer.
void	print_summary (vcl_ostream &os) const
	Print class to os.
void	b_write (vsl_b_ostream &bfs) const
	Save class to binary file stream.
void	b_read (vsl_b_istream &bfs)
	Load class from binary file stream.
void	config (vcl_istream &)
	Config from a stream.
Static Public Member Functions
static vcl_auto_ptr < clsfy_builder_base >	new_builder (vcl_istream &as)
	Load description from a text stream.
Private Attributes
double	boundC_
	C, the upper bound on the Lagrange multipliers.
double	rbf_width_
	Width of Gaussian function.

Detailed Description

Base for classes to build clsfy_classifier_base objects.

Definition at line 18 of file clsfy_rbf_svm_smo_1_builder.h.

Constructor & Destructor Documentation

clsfy_rbf_svm_smo_1_builder::clsfy_rbf_svm_smo_1_builder ( ) [inline]

Dflt ctor.

Definition at line 30 of file clsfy_rbf_svm_smo_1_builder.h.

Member Function Documentation

void clsfy_rbf_svm_smo_1_builder::b_read ( vsl_b_istream & bfs ) [virtual]

Load class from binary file stream.

Implements clsfy_builder_base.

Definition at line 153 of file clsfy_rbf_svm_smo_1_builder.cxx.

void clsfy_rbf_svm_smo_1_builder::b_write ( vsl_b_ostream & bfs ) const [virtual]

Save class to binary file stream.

Implements clsfy_builder_base.

Definition at line 144 of file clsfy_rbf_svm_smo_1_builder.cxx.

double clsfy_rbf_svm_smo_1_builder::bound_on_multipliers ( ) const [inline]

The upper bound on the Lagrange multipliers.

0 means no (or infinite) upper bound. A finite value effectively allows the training data to encroach into the separating margin. Smaller C -> smoother boundary

Definition at line 68 of file clsfy_rbf_svm_smo_1_builder.h.

double clsfy_rbf_svm_smo_1_builder::build	(	clsfy_classifier_base &	classifier,
		mbl_data_wrapper< vnl_vector< double > > &	inputs,
		unsigned	nClasses,
		const vcl_vector< unsigned > &	outputs
	)		const `[virtual]`

Build model from data.

Build classifier from data.

returns the empirical error, or +INF if there is an error. nclasses should be 1. The members of outputs() should be 0 or 1.

returns the training error, or +INF if there is an error. nClasses must be 1.

Implements clsfy_builder_base.

Definition at line 84 of file clsfy_rbf_svm_smo_1_builder.cxx.

double clsfy_rbf_svm_smo_1_builder::build	(	clsfy_classifier_base &	classifier,
		mbl_data_wrapper< vnl_vector< double > > &	inputs,
		const vcl_vector< unsigned > &	outputs
	)		const

Build a classifier from data.

Build classifier from data.

returns the empirical error rate, or +INF if there is an error. The members of outputs() should be 0 or 1.

returns the training error, or +INF if there is an error.

Definition at line 32 of file clsfy_rbf_svm_smo_1_builder.cxx.

clsfy_builder_base * clsfy_rbf_svm_smo_1_builder::clone ( ) const [virtual]

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

Implements clsfy_builder_base.

Definition at line 129 of file clsfy_rbf_svm_smo_1_builder.cxx.

void clsfy_rbf_svm_smo_1_builder::config ( vcl_istream & as ) [virtual]

Config from a stream.

Initialise the parameters from a text stream.

The next non-ws character in the stream should be a '{'

   {
     boundC: 3  (default 0 meaning no bound) Upper bound on the Lagrange multiplies.
                Smaller non-zero values result in a softening of the boundary.
  
     rbf_width: 3.0  (required) - A good guess is the mean euclidean distance
                      to every examples nearest neighbour.
   }

Exceptions:

mbl_exception_parse_error if the parse fails.

Reimplemented from clsfy_builder_base.

Definition at line 187 of file clsfy_rbf_svm_smo_1_builder.cxx.

vcl_string clsfy_rbf_svm_smo_1_builder::is_a ( ) const [virtual]

Name of the class.

Reimplemented from clsfy_builder_base.

Definition at line 108 of file clsfy_rbf_svm_smo_1_builder.cxx.

bool clsfy_rbf_svm_smo_1_builder::is_class ( vcl_string const & s ) const [virtual]

Name of the class.

Reimplemented from clsfy_builder_base.

Definition at line 115 of file clsfy_rbf_svm_smo_1_builder.cxx.

vcl_auto_ptr< clsfy_builder_base > clsfy_builder_base::new_builder ( vcl_istream & as ) [static, inherited]

Load description from a text stream.

The stream should contain the name of the feature extractor class that will be used, followed by a brace-enclosed list of parameters for the builder. This function will construct the appropriate clsfy_builder_base derivative and return that.

Exceptions:

if	the parse fails.

Definition at line 42 of file clsfy_builder_base.cxx.

clsfy_classifier_base* clsfy_rbf_svm_smo_1_builder::new_classifier ( ) const [inline, virtual]

Create empty model.

Implements clsfy_builder_base.

Definition at line 33 of file clsfy_rbf_svm_smo_1_builder.h.

void clsfy_rbf_svm_smo_1_builder::print_summary ( vcl_ostream & os ) const [virtual]

Print class to os.

Implements clsfy_builder_base.

Definition at line 136 of file clsfy_rbf_svm_smo_1_builder.cxx.

double clsfy_rbf_svm_smo_1_builder::rbf_width ( ) const

Radius of Gaussian function.

Definition at line 95 of file clsfy_rbf_svm_smo_1_builder.cxx.

void clsfy_rbf_svm_smo_1_builder::set_bound_on_multipliers ( double C ) [inline]

Set C, the upper bound on the Lagrange multipliers.

0 means no (or infinite) upper bound and is the default. A finite value effectively allows the training data to encroach into the separating margin. Smaller C -> smoother boundary

Definition at line 60 of file clsfy_rbf_svm_smo_1_builder.h.

void clsfy_rbf_svm_smo_1_builder::set_rbf_width ( double rbf_width )

Set the Radius of Gaussian function.

Definition at line 102 of file clsfy_rbf_svm_smo_1_builder.cxx.

short clsfy_rbf_svm_smo_1_builder::version_no ( ) const

Return the class's IO version number.

Definition at line 122 of file clsfy_rbf_svm_smo_1_builder.cxx.