root/library/tests/epdf_harness.h @ 491

/*!
  \file
  \brief Support for testing descendants of epdf.
  \author Vaclav Barta.

  -----------------------------------
  BDM++ - C++ library for Bayesian Decision Making under Uncertainty

  Using IT++ for numerical operations
  -----------------------------------
*/

#ifndef EPDF_HARNESS_H
#define EPDF_HARNESS_H

#define BDMLIB // not an ideal way to prevent double registration of UI factories...

#include "bdmroot.h"
#include "itpp_ext.h"
#include "shared_ptr.h"
#include "base/bdmbase.h"
#include "base/user_info.h"
#include "stat/emix.h"

namespace bdm {

class epdf_harness : public root {
private:
        shared_ptr<epdf> hepdf;
        vec mean;
        vec variance;
        mat support;
        ivec nbins;
        int nsamples;
        mat R;
        shared_ptr<RV> mrv;
        double tolerance;

public:
        static void test_config ( const char *config_file_name );

        epdf_harness() : nsamples ( 1000 ), tolerance ( 0.1 ) { }

        virtual void test ( const char *config_name, int idx );

        void from_setting ( const Setting &set );

protected:
        epdf *get_epdf() {
                return hepdf.get();
        }

        double get_tolerance() const {
                return tolerance;
        }

private:
        // assumes support is valid
        void check_support_mean();

        // assumes support is valid
        void check_support_integral();

        // assumes R is valid - it probably shouldn't, but calling it
        // unconditionally leads to a lot of not implemented
        // functions...
        void check_sample_mean();

        // assumes R is valid
        void check_covariance();

        // assumes marginal_rv is valid
        void check_cond_mean( mprod &mep );

        // assumes marginal_rv and R are valid
        void check_cond_covariance( mprod &mep );
};

}

#endif