#ifndef MLPP_UTILITIES_OLD_H
#define MLPP_UTILITIES_OLD_H

//
//  Utilities.hpp
//
//  Created by Marc Melikyan on 1/16/21.
//

#include "core/math/math_defs.h"

#include <string>
#include <tuple>
#include <vector>

class MLPPUtilitiesOld {
public:
	// Weight Init
	static std::vector<real_t> weightInitialization(int n, std::string type = "Default");
	static real_t biasInitialization();

	static std::vector<std::vector<real_t>> weightInitialization(int n, int m, std::string type = "Default");
	static std::vector<real_t> biasInitialization(int n);

	// Cost/Performance related Functions
	real_t performance(std::vector<real_t> y_hat, std::vector<real_t> y);
	real_t performance(std::vector<std::vector<real_t>> y_hat, std::vector<std::vector<real_t>> y);

	// Parameter Saving Functions
	void saveParameters(std::string fileName, std::vector<real_t> weights, real_t bias, bool app = false, int layer = -1);
	void saveParameters(std::string fileName, std::vector<real_t> weights, std::vector<real_t> initial, real_t bias, bool app = false, int layer = -1);
	void saveParameters(std::string fileName, std::vector<std::vector<real_t>> weights, std::vector<real_t> bias, bool app = false, int layer = -1);

	// Gradient Descent related
	static void UI(std::vector<real_t> weights, real_t bias);
	static void UI(std::vector<real_t> weights, std::vector<real_t> initial, real_t bias);
	static void UI(std::vector<std::vector<real_t>> weights, std::vector<real_t> bias);

	static void CostInfo(int epoch, real_t cost_prev, real_t Cost);

	static std::vector<std::vector<std::vector<real_t>>> createMiniBatches(std::vector<std::vector<real_t>> inputSet, int n_mini_batch);
	static std::tuple<std::vector<std::vector<std::vector<real_t>>>, std::vector<std::vector<real_t>>> createMiniBatches(std::vector<std::vector<real_t>> inputSet, std::vector<real_t> outputSet, int n_mini_batch);
	static std::tuple<std::vector<std::vector<std::vector<real_t>>>, std::vector<std::vector<std::vector<real_t>>>> createMiniBatches(std::vector<std::vector<real_t>> inputSet, std::vector<std::vector<real_t>> outputSet, int n_mini_batch);

	// F1 score, Precision/Recall, TP, FP, TN, FN, etc.
	std::tuple<real_t, real_t, real_t, real_t> TF_PN(std::vector<real_t> y_hat, std::vector<real_t> y); //TF_PN = "True", "False", "Positive", "Negative"
	real_t recall(std::vector<real_t> y_hat, std::vector<real_t> y);
	real_t precision(std::vector<real_t> y_hat, std::vector<real_t> y);
	real_t accuracy(std::vector<real_t> y_hat, std::vector<real_t> y);
	real_t f1_score(std::vector<real_t> y_hat, std::vector<real_t> y);
};

#endif /* Utilities_hpp */