Definition at line 24 of file Hierarchical.h.
Public Member Functions | |
CHierarchical () | |
CHierarchical (INT merges, CDistance *d) | |
virtual | ~CHierarchical () |
virtual EClassifierType | get_classifier_type () |
virtual bool | train () |
virtual bool | load (FILE *srcfile) |
virtual bool | save (FILE *dstfile) |
void | set_merges (INT m) |
INT | get_merges () |
void | get_assignment (INT *&assign, INT &num) |
void | get_merge_distance (DREAL *&dist, INT &num) |
void | get_merge_distances (DREAL **dist, INT *num) |
void | get_pairs (INT *&tuples, INT &rows, INT &num) |
void | get_cluster_pairs (INT **tuples, INT *rows, INT *num) |
void | set_distance (CDistance *d) |
CDistance * | get_distance () |
virtual CLabels * | classify (CLabels *output=NULL) |
virtual DREAL | classify_example (INT num) |
virtual void | set_labels (CLabels *lab) |
virtual CLabels * | get_labels () |
virtual DREAL | get_label (INT i) |
void | set_max_train_time (DREAL t) |
DREAL | get_max_train_time () |
Static Public Attributes | |
static CParallel | parallel |
static CIO | io |
static CVersion | version |
Protected Attributes | |
INT | merges |
the number of merges in hierarchical clustering | |
INT | dimensions |
number of dimensions | |
INT | assignment_size |
size of assignment table | |
INT * | assignment |
cluster assignment for the num_points | |
INT | table_size |
size of the below tables | |
INT * | pairs |
tuples of i/j | |
DREAL * | merge_distance |
distance at which pair i/j was added | |
CDistance * | distance |
DREAL | max_train_time |
CLabels * | labels |
CHierarchical::CHierarchical | ( | ) |
default constructor
Definition at line 22 of file Hierarchical.cpp.
constructor
merges | the merges | |
d | distance |
Definition at line 28 of file Hierarchical.cpp.
CHierarchical::~CHierarchical | ( | ) | [virtual] |
Definition at line 35 of file Hierarchical.cpp.
virtual EClassifierType CHierarchical::get_classifier_type | ( | ) | [virtual] |
get classifier type
Reimplemented from CClassifier.
Definition at line 42 of file Hierarchical.h.
bool CHierarchical::train | ( | ) | [virtual] |
train distance machine
Reimplemented from CClassifier.
Definition at line 42 of file Hierarchical.cpp.
bool CHierarchical::load | ( | FILE * | srcfile | ) | [virtual] |
load distance machine from file
srcfile | file to load from |
Reimplemented from CClassifier.
Definition at line 137 of file Hierarchical.cpp.
bool CHierarchical::save | ( | FILE * | dstfile | ) | [virtual] |
save distance machine to file
dstfile | file to save to |
Reimplemented from CClassifier.
Definition at line 142 of file Hierarchical.cpp.
void CHierarchical::set_merges | ( | INT | m | ) |
INT CHierarchical::get_merges | ( | ) |
get assignment
assign | current assignment is stored in here | |
num | number of assignments is stored in here |
Definition at line 88 of file Hierarchical.h.
get merge distance
dist | current merge distance is stored in here | |
num | number of merge distances is stored in here |
Definition at line 99 of file Hierarchical.h.
get merge distances (swig compatible)
dist | current merge distances is stored in here | |
num | number of merge distances is stored in here |
Definition at line 110 of file Hierarchical.h.
get pairs
tuples | current pairs are stored in here | |
rows | number of rows is stored in here | |
num | number of pairs is stored in here |
Definition at line 126 of file Hierarchical.h.
get cluster pairs (swig compatible)
tuples | current pairs are stored in here | |
rows | number of rows is stored in here | |
num | number of pairs is stored in here |
Definition at line 139 of file Hierarchical.h.
void CDistanceMachine::set_distance | ( | CDistance * | d | ) | [inherited] |
CDistance* CDistanceMachine::get_distance | ( | ) | [inherited] |
classify object
output | classified labels |
Reimplemented in CKNN, CLinearClassifier, CPluginEstimate, CSparseLinearClassifier, CMultiClassSVM, CSVM, CWDSVMOcas, and CKernelMachine.
Definition at line 22 of file Classifier.cpp.
classify one example
abstract base method
num | which example to classify |
Reimplemented in CKernelPerceptron, CKNN, CLinearClassifier, CPluginEstimate, CSparseLinearClassifier, CMultiClassSVM, CSVM, and CWDSVMOcas.
Definition at line 47 of file Classifier.h.
virtual void CClassifier::set_labels | ( | CLabels * | lab | ) | [virtual, inherited] |
virtual CLabels* CClassifier::get_labels | ( | ) | [virtual, inherited] |
get one specific label
i | index of label to get |
Definition at line 89 of file Classifier.h.
void CClassifier::set_max_train_time | ( | DREAL | t | ) | [inherited] |
set maximum training time
t | maximimum training time |
Definition at line 95 of file Classifier.h.
DREAL CClassifier::get_max_train_time | ( | ) | [inherited] |
get maximum training time
Definition at line 101 of file Classifier.h.
INT CHierarchical::merges [protected] |
INT CHierarchical::dimensions [protected] |
INT CHierarchical::assignment_size [protected] |
INT* CHierarchical::assignment [protected] |
INT CHierarchical::table_size [protected] |
INT* CHierarchical::pairs [protected] |
DREAL* CHierarchical::merge_distance [protected] |
CDistance* CDistanceMachine::distance [protected, inherited] |
the distance
Definition at line 49 of file DistanceMachine.h.
DREAL CClassifier::max_train_time [protected, inherited] |
maximum training time
Definition at line 111 of file Classifier.h.
CLabels* CClassifier::labels [protected, inherited] |
labels
Definition at line 114 of file Classifier.h.
CParallel CSGObject::parallel [static, inherited] |
Definition at line 105 of file SGObject.h.
CIO CSGObject::io [static, inherited] |
Definition at line 106 of file SGObject.h.
CVersion CSGObject::version [static, inherited] |
Definition at line 107 of file SGObject.h.