Detailed Description

Multiple Kernel Learning for two-class-classification.

Learns an SVM classifier and its kernel weights. Makes only sense if multiple kernels are used.

Definition at line 25 of file MKLClassification.h.

Inheritance diagram for CMKLClassification:

Public Member Functions
	CMKLClassification (CSVM *s=NULL)
virtual	~CMKLClassification ()
virtual float64_t	compute_sum_alpha ()
Protected Member Functions
virtual void	init_training ()
virtual EClassifierType	get_classifier_type ()

Constructor & Destructor Documentation

CMKLClassification ( CSVM * s = NULL )

Constructor

Parameters:

s

SVM to use as constraint generator in MKL SILP

Definition at line 9 of file MKLClassification.cpp.

~CMKLClassification ( ) [virtual]

Destructor

Definition at line 22 of file MKLClassification.cpp.

float64_t compute_sum_alpha ( ) [virtual]

compute beta independent term from objective, e.g., in 2-class MKL sum_i alpha_i etc

Implements CMKL.

Definition at line 25 of file MKLClassification.cpp.

virtual EClassifierType get_classifier_type ( ) [protected, virtual]

get classifier type

Reimplemented from CClassifier.

Definition at line 53 of file MKLClassification.h.

void init_training ( ) [protected, virtual]

check run before starting training (to e.g. check if labeling is two-class labeling in classification case

Implements CMKL.

Definition at line 35 of file MKLClassification.cpp.

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