10 #ifndef FEATUREBLOCKLOGISTICREGRESSION_H_
11 #define FEATUREBLOCKLOGISTICREGRESSION_H_
58 return "FeatureBlockLogisticRegression";
109 void register_parameters();
virtual float64_t apply_one(int32_t vec_idx)
int32_t get_max_iter() const
void set_feature_relation(CIndexBlockRelation *feature_relation)
virtual const char * get_name() const
CIndexBlockRelation * get_feature_relation() const
virtual bool train_machine(CFeatures *data=NULL)
void set_tolerance(float64_t tolerance)
CIndexBlockRelation * m_feature_relation
class FeatureBlockLogisticRegression, a linear binary logistic loss classifier for problems with comp...
Features that support dot products among other operations.
#define MACHINE_PROBLEM_TYPE(PT)
void set_termination(int32_t termination)
virtual ~CFeatureBlockLogisticRegression()
Class LinearMachine is a generic interface for all kinds of linear machines like classifiers.
void set_max_iter(int32_t max_iter)
all of classes and functions are contained in the shogun namespace
float64_t get_tolerance() const
The class Features is the base class of all feature objects.
Binary Labels for binary classification.
virtual SGVector< float64_t > apply_get_outputs(CFeatures *data)
int32_t get_termination() const
void set_regularization(int32_t regularization)
int32_t get_regularization() const
CFeatureBlockLogisticRegression()