38 lines
1.2 KiB
C
38 lines
1.2 KiB
C
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#ifndef SELECT_K_BEST_WEIGHTED_H
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#define SELECT_K_BEST_WEIGHTED_H
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#include <map>
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#include <vector>
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#include <string>
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using namespace std;
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namespace features {
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typedef float precision_t;
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typedef int value_t;
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typedef vector<value_t> sample_t;
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typedef vector<sample_t> samples_t;
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typedef vector<value_t> labels_t;
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typedef vector<precision_t> score_t, weights_t;
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class SelectKBestWeighted {
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private:
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const samples_t samples;
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const labels_t labels;
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const weights_t weights;
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const int k;
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bool nat; // use natural log or log2
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int numFeatures, numClasses, numSamples;
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bool fitted;
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score_t scores; // scores of the features
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labels_t features; // indices of the selected features
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precision_t entropyLabel();
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precision_t entropy(const sample_t&);
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precision_t conditionalEntropy(const int);
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precision_t MutualInformation(const int);
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public:
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SelectKBestWeighted(samples_t&, labels_t&, weights_t&, int, bool);
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SelectKBestWeighted& fit();
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score_t getScores() const;
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labels_t getFeatures() const; //Return the indices of the selected features
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static inline string version() { return "0.1.0"; };
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};
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}
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#endif
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