clsfy_mean_square_1d_builder Class Reference

#include <clsfy_mean_square_1d_builder.h>

Inheritance diagram for clsfy_mean_square_1d_builder:

[legend]List of all members.

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Detailed Description

Base for classes to build clsfy_classifier_1d objects.

Definition at line 17 of file clsfy_mean_square_1d_builder.h.

Public Member Functions
	clsfy_mean_square_1d_builder ()
virtual	~clsfy_mean_square_1d_builder ()
virtual clsfy_classifier_1d *	new_classifier () const
	Create empty model.
virtual double	build (clsfy_classifier_1d &classifier, const vnl_vector< double > &egs, const vnl_vector< double > &wts, const vcl_vector< unsigned > &outputs) const
	Build a binary_threshold classifier.
virtual double	build (clsfy_classifier_1d &classifier, vnl_vector< double > &egs0, vnl_vector< double > &wts0, vnl_vector< double > &egs1, vnl_vector< double > &wts1) const
	Build a mean_square classifier.
virtual double	build_from_sorted_data (clsfy_classifier_1d &classifier, const vbl_triple< double, int, int > *data, const vnl_vector< double > &wts) const
	Train classifier, returning weighted error.
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
	Version number for I/O.
virtual clsfy_builder_1d *	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.

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Constructor & Destructor Documentation

clsfy_mean_square_1d_builder::clsfy_mean_square_1d_builder (   )

Definition at line 21 of file clsfy_mean_square_1d_builder.cxx.

clsfy_mean_square_1d_builder::~clsfy_mean_square_1d_builder (   )  [virtual]

Definition at line 27 of file clsfy_mean_square_1d_builder.cxx.

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Member Function Documentation

void clsfy_mean_square_1d_builder::b_read (  vsl_b_istream &  bfs  )  [virtual]

Load class from binary file stream. Implements clsfy_builder_1d. Definition at line 363 of file clsfy_mean_square_1d_builder.cxx.

void clsfy_mean_square_1d_builder::b_write (  vsl_b_ostream &  bfs  )  const [virtual]

Save class to binary file stream. Implements clsfy_builder_1d. Definition at line 352 of file clsfy_mean_square_1d_builder.cxx.

double clsfy_mean_square_1d_builder::build (  clsfy_classifier_1d &  classifier, vnl_vector< double > &  egs0, vnl_vector< double > &  wts0, vnl_vector< double > &  egs1, vnl_vector< double > &  wts1 )  const [virtual]

Build a mean_square classifier. Train classifier, returning weighted error Selects parameters of classifier which best separate examples from two classes, weighting examples appropriately when estimating the missclassification rate. Returns weighted sum of error, e.wts, where e_i =0 for correct classifications, e_i=1 for incorrect. Implements clsfy_builder_1d. Definition at line 161 of file clsfy_mean_square_1d_builder.cxx.

double clsfy_mean_square_1d_builder::build (  clsfy_classifier_1d &  classifier, const vnl_vector< double > &  egs, const vnl_vector< double > &  wts, const vcl_vector< unsigned > &  outputs )  const [virtual]

Build a binary_threshold classifier. Train classifier, returning weighted error Selects parameters of classifier which best separate examples from two classes, weighting examples appropriately when estimating the missclassification rate. Returns weighted sum of error, e.wts, where e_i =0 for correct classifications, e_i=1 for incorrect. Implements clsfy_builder_1d. Definition at line 53 of file clsfy_mean_square_1d_builder.cxx.

double clsfy_mean_square_1d_builder::build_from_sorted_data (  clsfy_classifier_1d &  classifier, const vbl_triple< double, int, int > *  data, const vnl_vector< double > &  wts )  const [virtual]

Train classifier, returning weighted error. Selects parameters of classifier which best separate examples, weighting examples appropriately when estimating the missclassification rate. data[i] is a triple, {value,class_number,weight} Returns weighted sum of error. Note that input "data" must be sorted to use this routine Implements clsfy_builder_1d. Definition at line 271 of file clsfy_mean_square_1d_builder.cxx.

clsfy_builder_1d * clsfy_mean_square_1d_builder::clone (   )  const [virtual]

Create a copy on the heap and return base class pointer. Implements clsfy_builder_1d. Definition at line 333 of file clsfy_mean_square_1d_builder.cxx.

vcl_string clsfy_mean_square_1d_builder::is_a (   )  const [virtual]

Name of the class. Reimplemented from clsfy_builder_1d. Definition at line 287 of file clsfy_mean_square_1d_builder.cxx.

bool clsfy_mean_square_1d_builder::is_class (  vcl_string const &  s  )  const [virtual]

Name of the class. Reimplemented from clsfy_builder_1d. Definition at line 292 of file clsfy_mean_square_1d_builder.cxx.

clsfy_classifier_1d * clsfy_mean_square_1d_builder::new_classifier (   )  const [virtual]

Create empty model. Caller is responsible for deletion Implements clsfy_builder_1d. Definition at line 41 of file clsfy_mean_square_1d_builder.cxx.

void clsfy_mean_square_1d_builder::print_summary (  vcl_ostream &  os  )  const [virtual]

Print class to os. Implements clsfy_builder_1d. Definition at line 341 of file clsfy_mean_square_1d_builder.cxx.

short clsfy_mean_square_1d_builder::version_no (   )  const

Version number for I/O. Definition at line 33 of file clsfy_mean_square_1d_builder.cxx.

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The documentation for this class was generated from the following files:

• contrib/mul/clsfy/clsfy_mean_square_1d_builder.h
• contrib/mul/clsfy/clsfy_mean_square_1d_builder.cxx

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