Builds clsfy_random_classifier classifiers. More...

#include <clsfy_random_builder.h>

Inheritance diagram for clsfy_random_builder:

Public Member Functions
	clsfy_random_builder ()
virtual clsfy_classifier_base *	new_classifier () const
	Create empty model.
virtual double	build (clsfy_classifier_base &model, mbl_data_wrapper< vnl_vector< double > > &inputs, unsigned nClasses, const vcl_vector< unsigned > &outputs) const
	Build classifier from data.
virtual vcl_string	is_a () const
	Name of the class.
virtual bool	is_class (vcl_string const &s) const
	Name of the class.
short	version_no () const
	IO Version number.
virtual clsfy_builder_base *	clone () const
	Create a copy on the heap and return base class pointer.
virtual void	print_summary (vcl_ostream &os) const
	Print class to os.
virtual void	b_write (vsl_b_ostream &bfs) const
	Save class to binary file stream.
virtual void	b_read (vsl_b_istream &bfs)
	Load class from binary file stream.
double	confidence () const
	The standard deviation of confidence noise added to class probabilities.
void	set_confidence (double)
	Set the standard deviation of confidence noise added to class probabilities.
virtual void	config (vcl_istream &as)
	Initialise the parameters from a text 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	confidence_
	Standard deviation of confidence noise added to class probabilities.

Detailed Description

Builds clsfy_random_classifier classifiers.

This class doesn't do any calculation, it is easy to create a random classifier directly - but it allows for consistent swappable classifiers.

Definition at line 28 of file clsfy_random_builder.h.

Constructor & Destructor Documentation

clsfy_random_builder::clsfy_random_builder ( )

Definition at line 23 of file clsfy_random_builder.cxx.

Member Function Documentation

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

Load class from binary file stream.

Implements clsfy_builder_base.

Definition at line 72 of file clsfy_random_builder.cxx.

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

Save class to binary file stream.

Implements clsfy_builder_base.

Definition at line 64 of file clsfy_random_builder.cxx.

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

Build classifier from data.

Build model from data.

return the mean error over the training set.

return the mean error over the training set. For many classifiers, you may use nClasses==1 to indicate a binary classifier

Implements clsfy_builder_base.

Definition at line 96 of file clsfy_random_builder.cxx.

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

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

Implements clsfy_builder_base.

Definition at line 50 of file clsfy_random_builder.cxx.

double clsfy_random_builder::confidence ( ) const

The standard deviation of confidence noise added to class probabilities.

Definition at line 131 of file clsfy_random_builder.cxx.

void clsfy_builder_base::config ( vcl_istream & as ) [virtual, inherited]

Initialise the parameters from a text stream.

Default case accepts no parameters.

Reimplemented in clsfy_rbf_svm_smo_1_builder, clsfy_parzen_builder, clsfy_knn_builder, clsfy_null_builder, and clsfy_binary_1d_wrapper_builder.

Definition at line 26 of file clsfy_builder_base.cxx.

vcl_string clsfy_random_builder::is_a ( ) const [virtual]

Name of the class.

Reimplemented from clsfy_builder_base.

Definition at line 36 of file clsfy_random_builder.cxx.

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

Name of the class.

Reimplemented from clsfy_builder_base.

Definition at line 43 of file clsfy_random_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: