1 | /*! |
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2 | \file |
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3 | \brief Mergers for combination of pdfs |
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4 | \author Vaclav Smidl. |
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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 MER_H |
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14 | #define MER_H |
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15 | |
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16 | #include <itpp/itbase.h> |
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17 | #include "mixef.h" |
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18 | |
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19 | using namespace itpp; |
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20 | using std::string; |
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21 | |
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22 | /*! |
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23 | @brief Function for general combination of pdfs |
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24 | |
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25 | Mixtures of Gaussian densities are used internally. Switching to other densities should be trivial. |
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26 | */ |
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27 | |
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28 | class merger : public compositepdf, public epdf { |
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29 | protected: |
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30 | //!Internal mixture of EF models |
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31 | MixEF Mix; |
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32 | //! Data link for each mpdf in mpdfs |
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33 | Array<datalink_m2e*> dls; |
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34 | //! Array of rvs that are not modelled by mpdfs at all (aux) |
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35 | Array<RV> rvzs; |
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36 | //! Data Links of rv0 mpdfs - these will be conditioned the (rv,rvc) of mpdfs |
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37 | Array<datalink_m2e*> zdls; |
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38 | |
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39 | //!Number of samples used in approximation |
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40 | int Ns; |
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41 | //!Number of components in a mixture |
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42 | int Nc; |
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43 | //!Prior on the log-normal merging model |
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44 | double beta; |
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45 | public: |
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46 | //!Default constructor |
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47 | merger ( const Array<mpdf*> &S ) : |
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48 | compositepdf ( S ), epdf ( getrv ( false ) ), |
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49 | Mix ( Array<BMEF*> ( 0 ),vec ( 0 ) ), dls ( n ), rvzs ( n ), zdls ( n ) { |
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50 | RV ztmp; |
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51 | // Extend rv by rvc! |
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52 | RV rvc; setrvc ( rv,rvc ); |
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53 | rv.add ( rvc ); |
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54 | for ( int i=0;i<n;i++ ) { |
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55 | //Establich connection between mpdfs and merger |
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56 | dls ( i ) = new datalink_m2e ( mpdfs ( i )->_rv(), mpdfs ( i )->_rvc(), rv ); |
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57 | // find out what is missing in each mpdf |
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58 | ztmp= mpdfs ( i )->_rv(); |
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59 | ztmp.add ( mpdfs ( i )->_rvc() ); |
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60 | rvzs ( i ) =rv.subt ( ztmp ); |
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61 | zdls ( i ) = new datalink_m2e ( rvzs ( i ), ztmp, rv ) ; |
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62 | }; |
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63 | //Set Default values of parameters |
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64 | beta=2.0; |
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65 | Ns=100; |
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66 | Nc=10; |
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67 | Mix.set_method ( EM ); |
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68 | } |
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69 | //! Set internal parameters used in approximation |
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70 | void set_parameters ( double beta0, int Ns0, int Nc0 ) { beta=beta0;Ns=Ns0;Nc=Nc0;} |
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71 | //!Initialize the proposal density. This function must be called before merge()! |
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72 | void init() { ////////////// NOT FINISHED |
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73 | Array<vec> Smps ( n ); |
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74 | //Gibbs sampling |
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75 | for ( int i=0;i<n;i++ ) {Smps ( i ) =zeros ( 0 );} |
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76 | } |
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77 | //!Create a mixture density using known proposal |
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78 | void merge ( const epdf* g0 ); |
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79 | //!Create a mixture density, make sure to call init() before the first call |
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80 | void merge () {merge ( & ( Mix._epdf() ) );}; |
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81 | |
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82 | //! Merge log-likelihood values |
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83 | vec lognorm_merge ( mat &lW ); |
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84 | //! sample from merged density |
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85 | //! weight w is a |
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86 | vec sample ( ) const { return Mix._epdf().sample();} |
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87 | double evalpdflog ( const vec &dt ) const { |
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88 | vec dtf=ones ( dt.length() +1 ); |
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89 | dtf.set_subvector ( 0,dt ); |
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90 | return Mix.logpred ( dtf ); |
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91 | } |
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92 | vec mean() const {return Mix._epdf().mean();} |
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93 | //! for future use |
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94 | virtual ~merger() { |
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95 | for ( int i=0; i<n; i++ ) { |
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96 | delete dls ( i ); |
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97 | delete zdls ( i ); |
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98 | } |
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99 | }; |
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100 | |
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101 | //! Access function |
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102 | MixEF& _Mix() {return Mix;} |
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103 | }; |
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104 | |
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105 | |
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106 | |
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107 | #endif // MER_H |
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