example_kmeanspredictor.cpp

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

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

Para executar o programa:

./example_kmeanspredictor

Retornando por consola:

┌──────────────────────────────┐
│    Kmeans                    │
│    IterationConf init data   │
├──────────────────────────────┤
│        MinError: 1.0000e-05  │
│         MaxIter: 2000        │
└──────────────────────────────┘
┌──────────────────────────────┐
│            Iter: 24          │
│       LastError: 0.0000e+00  │
│ Elapsed time(s): 0.000162    │
└──────────────────────────────┘
Training :: R2 : 0.9786
Testing  :: R2 : 0.9791

Ajuste de curva

Código example_kmeanspredictor.cpp:

 
#include <iostream>
#include <Pds/Ra>
#include <Pds/Ml>
 
    
int main(void)
{
    Pds::Vector Yp;
    Pds::IterationConf Conf;
    
    // Generating data
    unsigned int L=2000;
    unsigned int K=32;
    Pds::Matrix X;
    Pds::Vector Y;
    Pds::DataSet::Regression::LoadDataFourierSeries(L,X,Y);
    
    // Create Predictor
    Pds::KmeansPredictor Data(Conf,X,Y,K);
    // Data.Print("\nW:\n");
    
    // Predict training data
    Yp=Data.Predict(X);
    
    // Testing W with training data set
    std::cout<<"Training :: R2 : "<<Y.R2(Yp)<<std::endl;
    
    // Predict testing data
    Pds::DataSet::Regression::LoadDataFourierSeries(L,X,Y);
    
    Yp=Data.Predict(X);
 
    // Testing W with training data set
    std::cout<<"Testing  :: R2 : "<<Y.R2(Yp)<<std::endl;
    
    Pds::Octave::XLabel="x1";
    Pds::Octave::YLabel="x2";
    Pds::Octave::Plot::CurveXYXY(X,Y,X,Yp,"testando.m","example_kmeanspredictor.png");
    
    return 0;
}