example_lda.cpp

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

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

Para executar o programa:

./example_lda

Retornando por consola:

X.Size():150    4       Y.Size():150    1

----- LDA :
Lambda:
-1.4920972739338e-05 1.4920972744225e-05  0.28573962441946     32.210550160202      
V:
0.64157811627708   0.65125791964514   0.0071495010509499 -0.20815354298129  
-0.443574988059    -0.44279171248602  0.58473578183953   -0.38698341325036  
-0.47467685781627  -0.47286445253644  -0.25316456596205  0.55319961080105   
0.40779974415941   0.39521871284214   0.77067545219274   0.70773309306758   
W[0]:
-5.052158957466  1.7544044652246  0.62809688508705 -2.3016669268369 1.3567157646717  
W[1]:
-4.1384423888949  1.2588694557982   -0.43926772294069 -0.92483797185729 2.8383050252588   
W[2]:
-6.2135935694602  1.0540599746316   -0.62783912646645 -0.45928252185134 3.8020461856569   
Label[0]:       0
Label[1]:       1
Label[2]:       2

Confusion matrix:
Data:[Predict/Actual]
50 0  0  
0  48 1  
0  2  49 
Id:
0       1       2

Classification - ConfMatrix

Código example_lda.cpp:

 
#include <iostream>
#include <Pds/Ra>
#include <Pds/Ml>
    
int main(void)
{
    Pds::Octave::FontSize=15;
    
    Pds::Matrix X(Pds::Ra::TextFormat,"../test/iris_data_set_x.txt");
    Pds::Vector Y(Pds::Ra::TextFormat,"../test/iris_data_set_y.txt");
    Pds::Vector Ys;
    
    std::cout<<"X.Size():"<<X.Size()<<"\tY.Size():"<<Y.Size()<<"\n";
 
    Pds::LDA Lda(X,Y);
    Lda.Print("\n----- LDA :\n");
    
    Ys=Lda.Predict(X);
    
    Pds::ConfusionMatrix CM;
    
    CM=Pds::ConfusionMatrix::Calculate(Ys,Y);
    CM.Print("\nConfusion matrix:\n");
    
    Pds::Octave::Plot::ConfMatrix(CM.Data,Lda.GetLabel(),"testando.m","example_lda_ConfMatrix.png");
    
    return 0;
}