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49 lines
1.3 KiB
C++
49 lines
1.3 KiB
C++
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#ifndef MLPP_MANN_H
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#define MLPP_MANN_H
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//
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// MANN.hpp
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//
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// Created by Marc Melikyan on 11/4/20.
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//
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#include "../hidden_layer/hidden_layer.h"
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#include "../multi_output_layer/multi_output_layer.h"
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#include <string>
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#include <vector>
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class MANN {
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public:
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MANN(std::vector<std::vector<double>> inputSet, std::vector<std::vector<double>> outputSet);
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~MANN();
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std::vector<std::vector<double>> modelSetTest(std::vector<std::vector<double>> X);
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std::vector<double> modelTest(std::vector<double> x);
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void gradientDescent(double learning_rate, int max_epoch, bool UI = 1);
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double score();
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void save(std::string fileName);
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void addLayer(int n_hidden, std::string activation, std::string weightInit = "Default", std::string reg = "None", double lambda = 0.5, double alpha = 0.5);
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void addOutputLayer(std::string activation, std::string loss, std::string weightInit = "Default", std::string reg = "None", double lambda = 0.5, double alpha = 0.5);
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private:
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double Cost(std::vector<std::vector<double>> y_hat, std::vector<std::vector<double>> y);
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void forwardPass();
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std::vector<std::vector<double>> inputSet;
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std::vector<std::vector<double>> outputSet;
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std::vector<std::vector<double>> y_hat;
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std::vector<HiddenLayer> network;
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MultiOutputLayer *outputLayer;
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int n;
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int k;
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int n_output;
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};
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#endif /* MANN_hpp */ |