example_ensembleperceptron.cpp

 
#include <iostream>
#include <Pds/Ra>
#include <Pds/Ml>
 
    
int main(void)
{
    Pds::ClassificationMetrics Metrics;
    Pds::Vector Yp;
    Pds::IterationConf Conf;
    Conf.SetMaxIter(5000);
    unsigned int M=5;
    
    // Generating data
    unsigned int L=1000;
    Pds::Matrix X;
    Pds::Vector Y;
    Pds::DataSet::Classification::LoadDataSine(L,X,Y);
    
    Pds::Matrix F=Pds::Kernel::Polynomial(X,M);
    
    
    Pds::Octave::XLabel="x_1";
    Pds::Octave::YLabel="x_2";
    Pds::Octave::Plot::PointsX2DY(X,Y,"testando.m","example_ensembleperceptron_data.png");
        
    // Create Perceptron
    Pds::Perceptron Neurona(Conf,F,Y);
    Neurona.Print("\nNeurona:\n");
    
    // Predict training data
    Yp=Neurona.Predict(F);
    
    // Metrics of training
    Metrics = Pds::ClassificationMetrics::Calculate(0.5,Yp,Y);
    Metrics.Print("Perceptron:\n");
    
    Pds::Octave::Plot::PointsX2DY(X,Yp,"testando.m","example_ensembleperceptron_perceptron.png");
        
    // Create Perceptron
    unsigned int Nel=10;
    Pds::EnsemblePerceptron BagN(Conf,F,Y,Nel,0.5);
    BagN.Print("BagN:\n");
 
    Yp=BagN.Predict(F);
    
    // Metrics testing
    Metrics = Pds::ClassificationMetrics::Calculate(0.5,Yp,Y);
    Metrics.Print("EnsemblePerceptron:\n");
    
    Pds::Octave::Plot::PointsX2DY(X,Yp,"testando.m","example_ensembleperceptron_ensemble.png");
    
 
    // Test export import
    BagN.ExportFile("example_ensembleperceptron_ensemble.dat");
    
    return 0;
}