modelfittting.cpp File Reference

#include <iostream>
#include <cosan/data/CosanData.h>
#include <cosan/base/CosanBO.h>
#include <cosan/preprocessing/overunderflow.h>
#include <cosan/preprocessing/missingvalues.h>
#include <cosan/preprocessing/normalizer.h>
#include <cosan/preprocessing/standardScaler.h>
#include <cosan/preprocessing/encoder.h>
#include <cosan/preprocessing/minmaxscaler.h>
#include <cosan/preprocessing/polynomialfeatures.h>
#include <cosan/preprocessing/principalcomponentanalysis.h>
#include <cosan/preprocessing/customtransform.h>
#include <cosan/model/CosanLinearRegression.h>
#include <cosan/model/CosanRidgeRegression.h>
#include <cosan/model/CosanPrincipalComponentRegression.h>
#include <cosan/model/CosanPCRRidge.h>

Go to the source code of this file.

Typedefs
typedef double	NumericType

Functions
int	main ()

Typedef Documentation

NumericType

typedef double NumericType

Definition at line 22 of file modelfittting.cpp.

Function Documentation

main()

int main

(

)

Definition at line 23 of file modelfittting.cpp.

           {
    Cosan::CosanRawData<NumericType> CRD("./example_data/toy2/X_.csv","./example_data/toy2/Y_.csv");
    Cosan::OverUnderFlow ouf(CRD);
    Cosan::MissingValues MissV(CRD);
    Cosan::Normalizer NM(CRD,2);   
    Cosan::StandardScaler SS(CRD);
    bool bias = true;
    Cosan::CosanLinearRegression CLR(CRD,bias);//The second argument indicates whether to consider intercept term. The default is true.
    //or
//    Cosan::CosanLinearRegression CLR(bias);
//    CLR.fit(CRD.GetInput(),CRD.GetTarget());
 
 
    return 0;
}