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// ***************************************************************
// SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
// SPDX-FileType: SOURCE
// SPDX-License-Identifier: MIT
// ***************************************************************
#ifndef FCBF_H
#define FCBF_H
#include <torch/torch.h>
#include <vector>
#include "bayesnet/feature_selection/FeatureSelect.h"
namespace bayesnet {
class FCBF : public FeatureSelect {
public:
// dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector
FCBF(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 ~FCBF() {};
void fit() override;
private:
double threshold = -1;
};
}
#endif