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LCOV - code coverage report
Current view: top level - BayesNet/bayesnet/feature_selection - CFS.h (source / functions) Coverage Total Hit
Test: coverage.info Lines: 100.0 % 4 4
Test Date: 2024-04-30 13:17:26 Functions: 100.0 % 3 3 

            Line data    Source code
       1              : // ***************************************************************
       2              : // SPDX-FileCopyrightText: Copyright 2024 Ricardo Montañana Gómez
       3              : // SPDX-FileType: SOURCE
       4              : // SPDX-License-Identifier: MIT
       5              : // ***************************************************************
       6              : 
       7              : #ifndef CFS_H
       8              : #define CFS_H
       9              : #include <torch/torch.h>
      10              : #include <vector>
      11              : #include "bayesnet/feature_selection/FeatureSelect.h"
      12              : namespace bayesnet {
      13              :     class CFS : public FeatureSelect {
      14              :     public:
      15              :         // dataset is a n+1xm tensor of integers where dataset[-1] is the y std::vector
      16           12 :         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) :
      17           12 :             FeatureSelect(samples, features, className, maxFeatures, classNumStates, weights)
      18              :         {
      19           12 :         }
      20           24 :         virtual ~CFS() {};
      21              :         void fit() override;
      22              :     private:
      23              :         bool computeContinueCondition(const std::vector<int>& featureOrder);
      24              :     };
      25              : }
      26              : #endif

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