example_decisiontree_create3.cpp

Programa para el testeo de las funciones.Para compilar o código example_decisiontree_create3.cpp:

g++ -static -o example_decisiontree_create3 example_decisiontree_create3.cpp -lpdsmlmm -lpdsramm -lpdsspmm

Para executar o programa:

./example_decisiontree_create3

Retornando por consola:

Pds::DecisionTree::Counter: 58
Acc_logitpar:   0.9785

Pds::DecisionTree::Counter: 37
Acc_k2means:    0.9905

Pds::DecisionTree::Counter: 59
Acc_ortogon:    0.9865

example_decisiontree_create3_data.png

example_decisiontree_create3_conf.png

example_decisiontree_create3_conf2.png

example_decisiontree_create3_ortogonal.png

Código example_decisiontree_create3.cpp:

 
#include <iostream>
#include <Pds/Ra>
#include <Pds/Ml>
    
int main(void)
{
    Pds::Octave::XLabel="x_1";
    Pds::Octave::YLabel="x_2";
    Pds::Vector Yp;
    Pds::IterationConf Conf;
    Conf.Show=false; Conf.SetMinError(1e-07);    Conf.SetAlpha(0.1);
    
    // Load training data
    unsigned int L=1000;
    Pds::Matrix X;
    Pds::Vector Y;
    //Pds::DataSet::Classification::LoadDataBand2(L,X,Y);
    //Pds::DataSet::Classification::LoadDataBand(L,X,Y);
    Pds::DataSet::Classification::LoadDataYinYang(L,X,Y);
 
    
    Pds::Octave::Plot::PointsX2DY(X,Y,"testando.m","example_decisiontree_create3_data.png");
    
    // =========================================================================
    // Creando un arbol
    Pds::DecisionTree::Counter=0;
    Pds::DecisionTree Arbol1("logitpar",Conf,X,Y,0.9,3);
    std::cout<<"Pds::DecisionTree::Counter: "<<Pds::DecisionTree::Counter<<std::endl;
    
    // Predict with training data
    Yp=Arbol1.Predict(X);
    std::cout<<"Acc_logitpar:\t"<<Pds::Accuracy(Y,Yp)<<"\n\n";
    
    Pds::Octave::Plot::PointsX2DY(X,Yp,"testando.m","example_decisiontree_create3_conf.png");
    
    // =========================================================================
    // Creando un arbol
    Pds::DecisionTree::Counter=0;
    Pds::DecisionTree Arbol2("k2means",Conf,X,Y,0.9,3);
    std::cout<<"Pds::DecisionTree::Counter: "<<Pds::DecisionTree::Counter<<std::endl;
    
    // Predict with training data
    Yp=Arbol2.Predict(X);
    std::cout<<"Acc_k2means:\t"<<Pds::Accuracy(Y,Yp)<<"\n\n";
    
    Pds::Octave::Plot::PointsX2DY(X,Yp,"testando.m","example_decisiontree_create3_conf2.png");
    
    // =========================================================================
    // Creando un arbol
    Pds::DecisionTree::Counter=0;
    Pds::DecisionTree Arbol3(X,Y,0.9,3);
    std::cout<<"Pds::DecisionTree::Counter: "<<Pds::DecisionTree::Counter<<std::endl;
    
    // Predict with training data
    Yp=Arbol3.Predict(X);
    std::cout<<"Acc_ortogon:\t"<<Pds::Accuracy(Y,Yp)<<"\n\n";
    
    Pds::Octave::Plot::PointsX2DY(X,Yp,"testando.m","example_decisiontree_create3_ortogonal.png"); 
 
    return 0;
}