root/tests/mixef_test.cpp @ 265

#include <estim/mixef.h>
#include <estim/arx.h>
#include <stat/libEF.h>
using namespace bdm;

//These lines are needed for use of cout and endl
using std::cout;
using std::endl;

void disp_mix2D ( const MixEF &Mi ) {
        const eprod &ep=((const eprod&)(Mi._epdf()));
        int i;
        mat Var ( 2,2 ),M ( 1,2 );
        for ( i=0; i<ep._rv().length() - 1; i++ ) { // -1 => last one is the weight
                ( ( egiw* ) ep ( i ) )->mean_mat ( M,Var );
                cout << "Mean: "<< M <<endl << "Variance: "<<endl <<Var<<endl;
        }
        cout <<"Weights: "<< ep ( i )->mean() <<endl;
}

mat grid2D ( const MixEF &M,const vec &xb, const vec &yb, int Ngr=100 ) {
        mat PPdf ( Ngr+1,Ngr+1 );
        vec rgr ( 3 );

        rgr ( 2 ) =1;
        int i=0,j=0;
        double xstep=( xb ( 1 )-xb ( 0 ) ) /Ngr;
        double ystep=( yb ( 1 )-yb ( 0 ) ) /Ngr;
        
        for ( double x=xb ( 0 );x<=xb ( 1 );x+= xstep,i++ ) {
                rgr ( 0 ) =x;j=0;
                for ( double y=yb(0);y<=yb(1);y+=ystep,j++ ) {
                        rgr ( 1 ) =y;
                        PPdf ( i,j ) =exp ( M.logpred ( rgr ) );
                }
        }
        return PPdf;
}

int main() {
        RV x ( "{x }","2" );

        
        cout << "Test for estimation of a 2D Gaussian mixture" << endl;
        ///////////////////////////////////
        // Setup model

        vec m1 ( "-2 -2" );
        vec m2 ( "2 2" );

        fsqmat V1 ( mat ( "1 0.5; 0.5 1" ) );
        fsqmat V2 ( mat ( "2 -0.1; -0.1 2" ) );

        enorm<fsqmat> C1 ( x );
        C1.set_parameters ( m1,V1 );
        enorm<fsqmat> C2 ( x );
        C2.set_parameters ( m2,V2 );

        Array<epdf*> Sim ( 2 ); Sim ( 0 ) =&C1;Sim ( 1 ) =&C2;
        emix Simul ( x );
        Simul.set_parameters ( "0.5 0.6", Sim, false );

        // Sample parameters
        int ndat = 100;
        mat Smp =Simul.sample_m ( ndat );

        cout << "Simulated means: " << m1 <<" and " << m2 <<endl;
        cout << "Simulated covariances: " << endl<<V1 <<" and " <<endl<< V2 <<endl;

        //////////////////////////////
        // Prepare estimator manually

        // Initial values of components
        mat V0=1e-4*eye ( 3 ); V0 ( 0,0 ) *=100;V0 ( 1,1 ) *=100;
        mat Vp="0 0 1; 0 0 1; 1 1 0";
        Vp*=5*1e-5;

        ARX M1 ( RV ( "{Th1 }","6" ),V0 - Vp,8 );
        ARX M2 ( RV ( "{Th2 }","6" ),V0 + Vp,8 );
        
        // Build mixture model
        Array<BMEF*> A ( 2 ); A ( 0 ) =&M1; A ( 1 ) =&M2;
        MixEF Post ( A,"0.5 0.5" );
        cout << "Initial mixture:"<<endl;
        disp_mix2D(Post);
        
        // Add ones for constant coefficients
        mat Data = concat_vertical ( Smp, ones ( 1,Smp.cols() ) );
        Post.bayes ( Data );

        cout << "Posterior mixture:" <<endl;
        disp_mix2D(Post);

        //TEST random initialization
        RNG_randomize();
        ARX Aflat=ARX(RV("{Th3 }",vec_1(6)),V0,7);
        MixEF RND;
        RND.init(&Aflat,Data,10); // already initialized!
        cout << endl<< "== Randomly initialized mixture ==" <<endl;
        cout << endl<< "== INIT ==" <<endl;
        disp_mix2D(RND);
        mat PPdf_I=grid2D(RND, vec_2(-5.0,5.0), vec_2(-5.0,5.0));;
        
        RND.bayes(Data);
        cout << endl<< "== BAYES ==" <<endl;
        disp_mix2D(RND);

        
        it_file of ( "mixef_test.it",true );
        of<< Name ( "Smp" ) <<Smp;
        of<<Name ( "PPdf" ) <<grid2D(Post, vec_2(-5.0,5.0), vec_2(-5.0,5.0));
        of<<Name ( "PPdf_I" ) <<PPdf_I;
        of<<Name ( "PPdf_RND" ) <<grid2D(RND, vec_2(-5.0,5.0), vec_2(-5.0,5.0));

        cout << endl <<"Variables written to file mixef_test.it:"<<endl;
        cout << "Smp  : data sampled from the simulator " <<endl;
        cout << "PPdf : posterior density on a grid <-5,5><-5,5>"<<endl;
        cout << "PPdf_RND : posterior density of randomly initilaized mixture on a grid <-5,5><-5,5>"<<endl;
}