// You should have received a copy of the GNU General Public License //
// along with this program. If not, see <http://www.gnu.org/licenses/>. //
// //
-// Written by Francois Fleuret, (C) IDIAP //
+// Written by Francois Fleuret //
+// (C) Idiap Research Institute //
+// //
// Contact <francois.fleuret@idiap.ch> for comments & bug reports //
///////////////////////////////////////////////////////////////////////////
/*
This class is an implementation of the Classifier with a boosting of
- tree. It works with samples from R^n and has no concept of the
+ trees. It works with samples from R^n and has no concept of the
pi-features.
*/
class BoostedClassifier : public Classifier {
public:
- int _loss_type;
int _nb_weak_learners;
DecisionTree **_weak_learners;