/usr/include/torch/KNN.h is in libtorch3-dev 3.1-2.1build1.
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//
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#ifndef KNN_INC
#define KNN_INC
#include "Machine.h"
#include "DataSet.h"
namespace Torch {
/** This machine implements the K-nearest-neighbors (KNN) algorithm.
Given a dataset (in the constructor), the #forward# method returns
for a given input the average of the outputs of the K nearest examples
(in the input space, using the Euclidean distance). As a side effect,
the machine also keep the table of distances of the K-nearest-neighbors.
@author Samy Bengio (bengio@idiap.ch)
*/
class KNN : public Machine
{
public:
/// The number of nearest neighbors. Controls the capacity of the machine
int K;
/// For each nearest neighbor, keeps its distance to the current input
real* distances;
/// For each nearest neighbor, keeps its index in the dataset
int* indices;
/// The dataset that contains the potential neaghbors
DataSet* data;
/// the size of the output vector
int n_outputs;
/// the indices of the training examples
int *real_examples;
int n_real_examples;
///
KNN(int n_outputs_,int K_);
virtual void forward(Sequence *inputs);
virtual void setDataSet(DataSet *dataset_);
virtual real distance(real* v1, real* v2, int n);
/// change the value of K
virtual void setK(int K_);
virtual ~KNN();
};
}
#endif
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