x2_fitting.cpp

//
// Created by martin on 17.1.19.
//

#include <iostream>

#include "4neuro.h"

int main() {

    l4n::CSVReader reader("/home/martin/4Neuro/src/examples/x2_data.txt", "\t", true);
    reader.read();

    std::vector<unsigned int> input_ind = {0};
    std::vector<unsigned int> output_ind = {1};
    l4n::DataSet ds = reader.get_data_set(&input_ind, &output_ind);

    std::vector<unsigned int> neuron_numbers_in_layers = {1, 15, 1};
    std::vector<l4n::NEURON_TYPE> hidden_type_v = {l4n::NEURON_TYPE::LOGISTIC};
    l4n::FullyConnectedFFN net(&neuron_numbers_in_layers, &hidden_type_v);

    l4n::MSE mse(&net, &ds);

    l4n::GradientDescent gs(1e-5, 20, 200);

    net.randomize_parameters();
    gs.optimize(mse);

    mse.eval_on_data_set(&ds);

    return 0;
}