Refactor library structure
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20
bayesnet/feature_selection/CFS.h
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20
bayesnet/feature_selection/CFS.h
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#ifndef CFS_H
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#define CFS_H
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#include <torch/torch.h>
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#include <vector>
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#include "bayesnet/feature_selection/FeatureSelect.h"
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namespace bayesnet {
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class CFS : public FeatureSelect {
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public:
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// dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector
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CFS(const torch::Tensor& samples, const std::vector<std::string>& features, const std::string& className, const int maxFeatures, const int classNumStates, const torch::Tensor& weights) :
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FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights)
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{
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}
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virtual ~CFS() {};
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void fit() override;
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private:
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bool computeContinueCondition(const std::vector<int>& featureOrder);
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};
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}
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#endif
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