BayesNet/bayesnet/feature_selection/IWSS.h

17 lines
596 B
C++

#ifndef IWSS_H
#define IWSS_H
#include <vector>
#include <torch/torch.h>
#include "FeatureSelect.h"
namespace bayesnet {
class IWSS : public FeatureSelect {
public:
// dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector
IWSS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights, const double threshold);
virtual ~IWSS() {};
void fit() override;
private:
double threshold = -1;
};
}
#endif