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56 lines
2.5 KiB
C++
56 lines
2.5 KiB
C++
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#ifndef MLPP_UTILITIES_H
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#define MLPP_UTILITIES_H
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//
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// Utilities.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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#include <string>
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#include <tuple>
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#include <vector>
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class MLPPUtilities {
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public:
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// Weight Init
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static std::vector<double> weightInitialization(int n, std::string type = "Default");
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static double biasInitialization();
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static std::vector<std::vector<double>> weightInitialization(int n, int m, std::string type = "Default");
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static std::vector<double> biasInitialization(int n);
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// Cost/Performance related Functions
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double performance(std::vector<double> y_hat, std::vector<double> y);
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double performance(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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// Parameter Saving Functions
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void saveParameters(std::string fileName, std::vector<double> weights, double bias, bool app = 0, int layer = -1);
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void saveParameters(std::string fileName, std::vector<double> weights, std::vector<double> initial, double bias, bool app = 0, int layer = -1);
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void saveParameters(std::string fileName, std::vector<std::vector<double>> weights, std::vector<double> bias, bool app = 0, int layer = -1);
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// Gradient Descent related
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static void UI(std::vector<double> weights, double bias);
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static void UI(std::vector<double> weights, std::vector<double> initial, double bias);
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static void UI(std::vector<std::vector<double>>, std::vector<double> bias);
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static void CostInfo(int epoch, double cost_prev, double Cost);
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static std::vector<std::vector<std::vector<double>>> createMiniBatches(std::vector<std::vector<double>> inputSet, int n_mini_batch);
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static std::tuple<std::vector<std::vector<std::vector<double>>>, std::vector<std::vector<double>>> createMiniBatches(std::vector<std::vector<double>> inputSet, std::vector<double> outputSet, int n_mini_batch);
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static std::tuple<std::vector<std::vector<std::vector<double>>>, std::vector<std::vector<std::vector<double>>>> createMiniBatches(std::vector<std::vector<double>> inputSet, std::vector<std::vector<double>> outputSet, int n_mini_batch);
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// F1 score, Precision/Recall, TP, FP, TN, FN, etc.
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std::tuple<double, double, double, double> TF_PN(std::vector<double> y_hat, std::vector<double> y); //TF_PN = "True", "False", "Positive", "Negative"
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double recall(std::vector<double> y_hat, std::vector<double> y);
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double precision(std::vector<double> y_hat, std::vector<double> y);
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double accuracy(std::vector<double> y_hat, std::vector<double> y);
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double f1_score(std::vector<double> y_hat, std::vector<double> y);
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private:
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};
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#endif /* Utilities_hpp */
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