/usr/include/torch/Bagging.h is in libtorch3-dev 3.1-2.2.
This file is owned by root:root, with mode 0o644.
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//
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#ifndef BAGGING_INC
#define BAGGING_INC
#include "Trainer.h"
#include "Measurer.h"
#include "DataSet.h"
#include "WeightedSumMachine.h"
namespace Torch {
/** This class represents a #Trainer# that implements the well-known
Bagging algorithm (Breiman, 1996). A "bagger" contains a series
of trainers, each trained on a bootstrap of the original dataset.
The output of the bagging is then the average of the output of
each trainer.
It is implemented using a #WeightedSumMachine# that performs the combination.
@author Samy Bengio (bengio@idiap.ch)
@see WeightedSumMachine
*/
class Bagging : public Trainer
{
public:
/// This machine performs the combination. It contains many trainers.
WeightedSumMachine* w_machine;
/// The number of trainers in the bagging.
int n_trainers;
/// for each trainer, keep the indices of examples not used during training
int** unselected_examples;
/// for each trainer, keep the indices of examples used during training
int** selected_examples;
/// for each trainer, keep the number of examples not used during training
int* n_unselected_examples;
/// for each trainer, keep the number of examples used during training
int* is_selected_examples;
///
Bagging(WeightedSumMachine *w_machine);
/// create a boostrap of the data and put in in selected
virtual void bootstrapData(int* selected, int* is_selected, int n_examples);
virtual void train(DataSet *data, MeasurerList* measurers);
virtual ~Bagging();
};
}
#endif
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