ErrorFunctionsMock.h

//
// Created by martin on 3.2.19.
//

#ifndef LIB4NEURO_ERRORFUNCTIONSMOCK_H
#define LIB4NEURO_ERRORFUNCTIONSMOCK_H

#include "../ErrorFunction/ErrorFunctions.h"
#include "../DataSet/DataSet.h"

#include <turtle/mock.hpp>

using namespace lib4neuro;


MOCK_BASE_CLASS(mock_ErrorFunction, lib4neuro::ErrorFunction)
{
    MOCK_METHOD(eval, 3)
    MOCK_METHOD(get_dimension, 0)
    MOCK_METHOD(calculate_error_gradient, 4)
    MOCK_METHOD(calculate_residual_gradient, 4)
    MOCK_METHOD(calculate_single_residual, 3)
    MOCK_METHOD(get_parameters, 0)
    MOCK_METHOD(get_dataset, 0)
    MOCK_METHOD(get_network_instance, 0)
    MOCK_METHOD(divide_data_train_test, 1)
    MOCK_METHOD(return_full_data_set_for_training, 0)
    MOCK_METHOD(eval_on_test_data, 2, double(std::vector<double>*, bool), id1)
    MOCK_METHOD(eval_on_test_data, 3, double(std::string, std::vector<double>*, bool), id2)
    MOCK_METHOD(eval_on_test_data, 3, double(std::ofstream*, std::vector<double>*, bool), id3)
    MOCK_METHOD(eval_on_data_set, 3, double(DataSet*, std::vector<double>*, bool), id4)
    MOCK_METHOD(eval_on_data_set, 4, double(DataSet*, std::string, std::vector<double>*, bool), id5)
    MOCK_METHOD(eval_on_data_set, 5, double(DataSet*, std::ofstream*, std::vector<double>*, bool, bool), id6)
};

#endif //LIB4NEURO_ERRORFUNCTIONSMOCK_H