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87 lines
4.8 KiB
C
87 lines
4.8 KiB
C
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//
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// Cost.hpp
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//
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// Created by Marc Melikyan on 1/16/21.
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//
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#ifndef Cost_hpp
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#define Cost_hpp
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#include <vector>
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namespace MLPP{
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class Cost{
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public:
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// Regression Costs
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double MSE(std::vector <double> y_hat, std::vector<double> y);
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double MSE(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> MSEDeriv(std::vector <double> y_hat, std::vector<double> y);
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std::vector<std::vector<double>> MSEDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double RMSE(std::vector <double> y_hat, std::vector<double> y);
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double RMSE(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> RMSEDeriv(std::vector <double> y_hat, std::vector<double> y);
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std::vector<std::vector<double>> RMSEDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double MAE(std::vector <double> y_hat, std::vector<double> y);
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double MAE(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> MAEDeriv(std::vector <double> y_hat, std::vector <double> y);
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std::vector<std::vector<double>> MAEDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double MBE(std::vector <double> y_hat, std::vector <double> y);
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double MBE(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> MBEDeriv(std::vector <double> y_hat, std::vector <double> y);
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std::vector<std::vector<double>> MBEDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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// Classification Costs
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double LogLoss(std::vector <double> y_hat, std::vector<double> y);
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double LogLoss(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> LogLossDeriv(std::vector <double> y_hat, std::vector<double> y);
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std::vector<std::vector<double>> LogLossDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double CrossEntropy(std::vector<double> y_hat, std::vector<double> y);
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double CrossEntropy(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> CrossEntropyDeriv(std::vector<double> y_hat, std::vector<double> y);
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std::vector<std::vector<double>> CrossEntropyDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double HuberLoss(std::vector <double> y_hat, std::vector<double> y, double delta);
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double HuberLoss(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y, double delta);
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std::vector<double> HuberLossDeriv(std::vector <double> y_hat, std::vector<double> y, double delta);
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std::vector<std::vector<double>> HuberLossDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y, double delta);
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double HingeLoss(std::vector <double> y_hat, std::vector<double> y);
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double HingeLoss(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> HingeLossDeriv(std::vector <double> y_hat, std::vector<double> y);
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std::vector<std::vector<double>> HingeLossDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double HingeLoss(std::vector <double> y_hat, std::vector<double> y, std::vector<double> weights, double C);
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double HingeLoss(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y, std::vector<std::vector<double>> weights, double C);
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std::vector<double> HingeLossDeriv(std::vector <double> y_hat, std::vector<double> y, double C);
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std::vector<std::vector<double>> HingeLossDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y, double C);
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double WassersteinLoss(std::vector<double> y_hat, std::vector<double> y);
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double WassersteinLoss(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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std::vector<double> WassersteinLossDeriv(std::vector<double> y_hat, std::vector<double> y);
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std::vector<std::vector<double>> WassersteinLossDeriv(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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double dualFormSVM(std::vector<double> alpha, std::vector<std::vector<double>> X, std::vector<double> y); // TO DO: DON'T forget to add non-linear kernelizations.
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std::vector<double> dualFormSVMDeriv(std::vector<double> alpha, std::vector<std::vector<double>> X, std::vector<double> y);
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private:
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};
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}
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#endif /* Cost_hpp */
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