Public Member Functions | |
CKNN () | |
CKNN (int32_t k, CDistance *d, CLabels *trainlab) | |
virtual | ~CKNN () |
virtual EClassifierType | get_classifier_type () |
virtual bool | train () |
virtual CLabels * | classify (CLabels *output=NULL) |
virtual float64_t | classify_example (int32_t vec_idx) |
get output for example "vec_idx" | |
virtual bool | load (FILE *srcfile) |
virtual bool | save (FILE *dstfile) |
void | set_k (float64_t p_k) |
float64_t | get_k () |
Protected Attributes | |
float64_t | k |
the k parameter in KNN | |
int32_t | num_classes |
number of classes (i.e. number of values labels can take) | |
int32_t | min_label |
smallest label, i.e. -1 | |
int32_t | num_train_labels |
number of train examples | |
int32_t * | train_labels |
the actual trainlabels |
Definition at line 25 of file KNN.h.
classify all examples
output | resulting labels |
histogram of classes and returned output
Reimplemented from CClassifier.
virtual float64_t CKNN::classify_example | ( | int32_t | vec_idx | ) | [virtual] |
virtual EClassifierType CKNN::get_classifier_type | ( | ) | [virtual] |
bool CKNN::load | ( | FILE * | srcfile | ) | [virtual] |
load from file
srcfile | file to load from |
Reimplemented from CClassifier.
bool CKNN::save | ( | FILE * | dstfile | ) | [virtual] |
save to file
dstfile | file to save to |
Reimplemented from CClassifier.
bool CKNN::train | ( | ) | [virtual] |
int32_t CKNN::min_label [protected] |
int32_t CKNN::num_classes [protected] |
int32_t CKNN::num_train_labels [protected] |
int32_t* CKNN::train_labels [protected] |