11 #ifndef MULTICLASSLOGISTICREGRESSION_H_
12 #define MULTICLASSLOGISTICREGRESSION_H_
46 return "MulticlassLogisticRegression";
99 void register_parameters();
float64_t get_epsilon() const
int32_t get_max_iter() const
The class Labels models labels, i.e. class assignments of objects.
virtual ~CMulticlassLogisticRegression()
Features that support dot products among other operations.
virtual bool train_machine(CFeatures *data=NULL)
virtual const char * get_name() const
multiclass logistic regression
static const float64_t epsilon
generic linear multiclass machine
void set_epsilon(float64_t epsilon)
#define MACHINE_PROBLEM_TYPE(PT)
all of classes and functions are contained in the shogun namespace
void set_max_iter(int32_t max_iter)
The class Features is the base class of all feature objects.
CMulticlassLogisticRegression()