SHOGUN v0.9.0
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Multiple Kernel Learning for two-class-classification.
Learns an SVM classifier and its kernel weights. Makes only sense if multiple kernels are used.
在文件MKLClassification.h第25行定义。
公有成员 | |
CMKLClassification (CSVM *s=NULL) | |
virtual | ~CMKLClassification () |
virtual float64_t | compute_sum_alpha () |
保护成员 | |
virtual void | init_training () |
virtual EClassifierType | get_classifier_type () |
CMKLClassification | ( | CSVM * | s = NULL | ) |
~CMKLClassification | ( | ) | [virtual] |
Destructor
在文件MKLClassification.cpp第18行定义。
float64_t compute_sum_alpha | ( | ) | [virtual] |
compute beta independent term from objective, e.g., in 2-class MKL sum_i alpha_i etc
实现了CMKL。
在文件MKLClassification.cpp第21行定义。
virtual EClassifierType get_classifier_type | ( | ) | [protected, virtual] |
get classifier type
重载CClassifier。
在文件MKLClassification.h第53行定义。
void init_training | ( | ) | [protected, virtual] |
check run before starting training (to e.g. check if labeling is two-class labeling in classification case
实现了CMKL。
在文件MKLClassification.cpp第31行定义。