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RFVisitorBase Class Reference | ![]() |
Base class from which all random forest visitors derive. More...
#include <vigra/random_forest_3/random_forest_visitors.hxx>
Public Member Functions | |
void | activate () |
Activate the visitor. | |
void | deactivate () |
Deactivate the visitor. | |
bool | is_active () const |
Return whether the visitor is active or not. | |
template<typename TREE , typename FEATURES , typename LABELS , typename WEIGHTS , typename SCORER , typename ITER > | |
void | visit_after_split (TREE &, FEATURES &, LABELS &, WEIGHTS &, SCORER &, ITER, ITER, ITER) |
Do something after the split was made. | |
template<typename VISITORS , typename RF , typename FEATURES , typename LABELS > | |
void | visit_after_training (VISITORS &, RF &, const FEATURES &, const LABELS &) |
Do something after all trees have been learned. More... | |
template<typename RF , typename FEATURES , typename LABELS , typename WEIGHTS > | |
void | visit_after_tree (RF &, FEATURES &, LABELS &, WEIGHTS &) |
Do something after a tree has been learned. | |
void | visit_before_training () |
Do something before training starts. | |
template<typename TREE , typename FEATURES , typename LABELS , typename WEIGHTS > | |
void | visit_before_tree (TREE &, FEATURES &, LABELS &, WEIGHTS &) |
Do something before a tree has been learned. More... | |
Base class from which all random forest visitors derive.
Due to the parallel training, we cannot simply use a single visitor for all trees. Instead, each tree gets a copy of the original visitor.
The random forest training with visitors looks as follows:
void visit_after_training | ( | VISITORS & | , |
RF & | , | ||
const FEATURES & | , | ||
const LABELS & | |||
) |
Do something after all trees have been learned.
v | vector with pointers to the visitor copies |
rf | the trained random forest |
void visit_before_tree | ( | TREE & | , |
FEATURES & | , | ||
LABELS & | , | ||
WEIGHTS & | |||
) |
Do something before a tree has been learned.
weights | the actual instance weights (after bootstrap sampling and class weights) |
© Ullrich Köthe (ullrich.koethe@iwr.uni-heidelberg.de) |
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