example_dataset_split.cpp

 
#include <iostream>
#include <Pds/Ra>
#include <Pds/Ml>
    
int main(void)
{
    Pds::Matrix X=  "1 1 3 4\n"
                    "1 1 3 3\n"
                    "2 1 4 4\n"
                    "2 1 4 3\n"
                    "1 1 3 4\n"
                    "1 1 3 3\n"
                    "2 1 4 4\n"
                    "2 1 4 3\n";
                    
    Pds::Vector Y=  "0\n"
                    "0\n"
                    "0\n"
                    "0\n"
                    "1\n"
                    "1\n"
                    "1\n"
                    "1\n";
                    
    Pds::DataSetBlock Dat;
    
    std::cout<<"Pds::DataSet::InterDistance(X)    :\t"<<Pds::DataSet::InterDistance(X)<<"\n";
    std::cout<<"Pds::DataSet::Volume(X)           :\t"<<Pds::DataSet::Volume(X)<<"\n";
    std::cout<<"Pds::DataSet::VolumeInValidDims(X):\t"<<Pds::DataSet::VolumeInValidDims(X)<<"\n";
    
    Dat=Pds::DataSet::Split(X,Y,1,1,2);
    
    std::cout<<std::endl;
    std::cout<<"Used training samples:\n"<<Dat.Xtr<<std::endl;
    std::cout<<" Used crosval samples:\n"<<Dat.Xcv<<std::endl;
    std::cout<<" Used testing samples:\n"<<Dat.Xtt<<std::endl;
    
    
    Pds::Vector Std(4);
    Pds::Vector Mean(4);
    Dat=Pds::DataSet::SplitAndScaling(X,Y,1,1,2,Std,Mean);
    
    Std.T().Print("Std:\n");
    Mean.T().Print("Mean:\n");
    
    std::cout<<std::endl;
    std::cout<<"Used training samples:\n"<<Dat.Xtr<<std::endl;
    std::cout<<" Used crosval samples:\n"<<Dat.Xcv<<std::endl;
    std::cout<<" Used testing samples:\n"<<Dat.Xtt<<std::endl;
    
    return 0;
}