Examples with STD org.gitia.jdataanalysis.data.stats.STD used on opensource projects

Example 1 with STD

use of org.gitia.jdataanalysis.data.stats.STD in project froog by mroodschild.

the class Test method main.

public static void main(String[] args) {
    SimpleMatrix input = CSV.open("src/main/resources/function/train_in.csv");
    SimpleMatrix output = CSV.open("src/main/resources/function/train_out.csv");
    SimpleMatrix in_test = CSV.open("src/main/resources/function/test_in.csv");
    SimpleMatrix out_test = CSV.open("src/main/resources/function/test_out.csv");
    SimpleMatrix all_in = CSV.open("src/main/resources/function/all_in.csv");
    STD std = new STD();
    std.fit(input);
    input = std.eval(input);
    in_test = std.eval(in_test);
    all_in = std.eval(all_in);
    int inputSize = input.numCols();
    int outputSize = output.numCols();
    // ==================== Preparamos la RNA =======================
    Random rand = new Random(4);
    // int nn = 30;
    Feedforward net = new Feedforward();
    net.addLayer(new Layer(inputSize, 10, TransferFunction.TANSIG, rand));
    net.addLayer(new Layer(10, 5, TransferFunction.PRERELU, rand));
    net.addLayer(new Layer(5, outputSize, TransferFunction.PURELIM, rand));
    // =================  configuraciones del ensayo ========================
    // Preparamos el algoritmo de entrenamiento
    Backpropagation bp = new Backpropagation();
    bp.setEpoch(5000);
    // bp.setMomentum(0.9);
    bp.setLearningRate(0.01);
    bp.setInputTest(in_test);
    bp.setOutputTest(out_test);
    bp.setTestFrecuency(1);
    bp.setLossFunction(LossFunction.RMSE);
    input.printDimensions();
    output.printDimensions();
    bp.entrenar(net, input, output);
    try {
        net.outputAll(all_in).saveToFileCSV("src/main/resources/function/res_train.csv");
    } catch (IOException ex) {
        Logger.getLogger(Test.class.getName()).log(Level.SEVERE, null, ex);
    }
}