MissingValuesTest.cpp File Reference

#include <iostream>
#include <Eigen/Dense>
#include <Eigen/Core>
#include <cosan/data/CosanData.h>
#include <gsl/gsl>
#include <cosan/preprocessing/overunderflow.h>
#include <cosan/preprocessing/missingvalues.h>
#include <vector>

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Functions
int	main ()

Function Documentation

main()

int main

(

)

Definition at line 18 of file MissingValuesTest.cpp.

           {
 
    Cosan::CosanRawData<double> CRD("./example_data/toy2/X_.csv","./example_data/toy2/Y_.csv");
    std::cout<<CRD.GetSummaryMessageX()<<CRD.GetSummaryMessageY()<<std::endl;
    Cosan::OverUnderFlow ouf(CRD);
    Cosan::MissingValues MissV(CRD);    
    auto [value1, value2] = CRD.GetMissingNumber();
    std::cout<< value1<<value2<<std::endl;
    // std::cout<<X.col(i).array().isNaN().sum()<<std::endl;
    // Eigen::MatrixXd M{3,3};
    // M << 1,2,2,
    //      4,3,4,
    //      2,4,6;
    // std::cout<<M.array().isNaN().sum()<<std::endl;
    // CRD.GetTarget().rows()-CRD.GetTarget().array().isNaN().sum()
    // CRD.GetTarget().array().isNaN().select(0,CRD.GetTarget())
 
    // std::cout<<CRD.GetTarget().array().isNaN().select(0,CRD.GetTarget()).sum()<<std::endl;
 
    // std::cout<<(1-CRD.GetTarget().array().isNaN()).cast<double>().array()*CRD.GetTarget().array()<<std::endl;
 
 
    return 0;
}