11 #ifndef MULTICLASSTREEGUIDEDLOGISTICREGRESSION_H_ 12 #define MULTICLASSTREEGUIDEDLOGISTICREGRESSION_H_ 47 return "MulticlassTreeGuidedLogisticRegression";
115 void init_defaults();
118 void register_parameters();
The class Labels models labels, i.e. class assignments of objects.
class IndexBlockTree used to represent tree guided feature relation.
void set_max_iter(int32_t max_iter)
Features that support dot products among other operations.
CMulticlassTreeGuidedLogisticRegression()
static const float64_t epsilon
int32_t get_max_iter() const
generic linear multiclass machine
#define MACHINE_PROBLEM_TYPE(PT)
virtual ~CMulticlassTreeGuidedLogisticRegression()
CIndexBlockTree * m_index_tree
multiclass tree guided logistic regression
CIndexBlockTree * get_index_tree() const
all of classes and functions are contained in the shogun namespace
The class Features is the base class of all feature objects.
virtual const char * get_name() const
virtual bool train_machine(CFeatures *data=NULL)
void set_epsilon(float64_t epsilon)
float64_t get_epsilon() const
void set_index_tree(CIndexBlockTree *index_tree)