1 | /*! |
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2 | \file |
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3 | \brief Support for testing descendants of epdf. |
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4 | \author Vaclav Barta. |
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5 | |
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6 | ----------------------------------- |
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7 | BDM++ - C++ library for Bayesian Decision Making under Uncertainty |
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8 | |
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9 | Using IT++ for numerical operations |
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10 | ----------------------------------- |
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11 | */ |
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12 | |
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13 | #ifndef EPDF_HARNESS_H |
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14 | #define EPDF_HARNESS_H |
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15 | |
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16 | #include "bdmroot.h" |
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17 | #include "itpp_ext.h" |
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18 | #include "shared_ptr.h" |
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19 | #include "base/bdmbase.h" |
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20 | #include "base/user_info.h" |
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21 | #include "stat/emix.h" |
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22 | |
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23 | namespace bdm { |
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24 | |
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25 | class epdf_harness : public root { |
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26 | private: |
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27 | shared_ptr<epdf> hepdf; |
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28 | vec mean; |
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29 | vec variance; |
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30 | mat support; |
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31 | ivec nbins; |
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32 | int nsamples; |
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33 | mat R; |
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34 | shared_ptr<RV> mrv; |
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35 | double tolerance; |
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36 | |
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37 | public: |
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38 | static void test_config ( const char *config_file_name ); |
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39 | |
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40 | epdf_harness() : nsamples ( 1000 ), tolerance ( 0.1 ) { } |
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41 | |
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42 | virtual void test ( const char *config_name, int idx ); |
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43 | |
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44 | void from_setting ( const Setting &set ); |
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45 | |
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46 | protected: |
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47 | epdf *get_epdf() { |
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48 | return hepdf.get(); |
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49 | } |
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50 | |
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51 | double get_tolerance() const { |
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52 | return tolerance; |
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53 | } |
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54 | |
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55 | private: |
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56 | // assumes support is valid |
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57 | void check_support_mean(); |
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58 | |
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59 | // assumes support is valid |
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60 | void check_support_integral(); |
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61 | |
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62 | // assumes R is valid - it probably shouldn't, but calling it |
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63 | // unconditionally leads to a lot of not implemented |
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64 | // functions... |
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65 | void check_sample_mean(); |
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66 | |
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67 | // assumes R is valid |
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68 | void check_covariance(); |
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69 | |
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70 | // assumes marginal_rv is valid |
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71 | void check_cond_mean( mprod &mep ); |
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72 | |
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73 | // assumes marginal_rv and R are valid |
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74 | void check_cond_covariance( mprod &mep ); |
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75 | }; |
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76 | UIREGISTER(epdf_harness); |
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77 | |
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78 | } |
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79 | |
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80 | #endif |
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