12 CKNNSolver(k, q, num_classes, min_label, train_labels)
int32_t m_k
the k parameter in KNN
Class Distance, a base class for all the distances used in the Shogun toolbox.
SGVector< int32_t > m_train_labels
virtual CMulticlassLabels * classify_objects(CDistance *d, const int32_t num_lab, SGVector< int32_t > &train_lab, SGVector< float64_t > &classes) const
int32_t choose_class(float64_t *classes, const int32_t *train_lab) const
virtual SGVector< int32_t > classify_objects_k(CDistance *d, const int32_t num_lab, SGVector< int32_t > &train_lab, SGVector< int32_t > &classes) const
bool set_label(int32_t idx, float64_t label)
Multiclass Labels for multi-class classification.
void choose_class_for_multiple_k(int32_t *output, int32_t *classes, const int32_t *train_lab, const int32_t step) const
static bool cancel_computations()
int32_t m_min_label
smallest label, i.e. -1
all of classes and functions are contained in the shogun namespace