2 * folded-ctf is an implementation of the folded hierarchy of
3 * classifiers for object detection, developed by Francois Fleuret
6 * Copyright (c) 2008 Idiap Research Institute, http://www.idiap.ch/
7 * Written by Francois Fleuret <francois.fleuret@idiap.ch>
9 * This file is part of folded-ctf.
11 * folded-ctf is free software: you can redistribute it and/or modify
12 * it under the terms of the GNU General Public License version 3 as
13 * published by the Free Software Foundation.
15 * folded-ctf is distributed in the hope that it will be useful, but
16 * WITHOUT ANY WARRANTY; without even the implied warranty of
17 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
18 * General Public License for more details.
20 * You should have received a copy of the GNU General Public License
21 * along with folded-ctf. If not, see <http://www.gnu.org/licenses/>.
27 This class is an implementation of the Classifier with a boosting of
28 trees. It works with samples from R^n and has no concept of the
33 #ifndef BOOSTED_CLASSIFIER_H
34 #define BOOSTED_CLASSIFIER_H
36 #include "classifier.h"
37 #include "sample_set.h"
38 #include "decision_tree.h"
39 #include "loss_machine.h"
41 class BoostedClassifier : public Classifier {
44 int _nb_weak_learners;
45 DecisionTree **_weak_learners;
49 BoostedClassifier(int nb_weak_learners);
51 virtual ~BoostedClassifier();
53 virtual scalar_t response(SampleSet *sample_set, int n_sample);
54 virtual void train(LossMachine *loss_machine, SampleSet *train, scalar_t *response);
56 virtual void tag_used_features(bool *used);
57 virtual void re_index_features(int *new_indexes);
59 virtual void read(istream *is);
60 virtual void write(ostream *os);