Legend:
- Unmodified
- Added
- Removed
-
libBM.h
r5 r7 65 65 class BM { 66 66 public: 67 //! Incremental Bayes rule 68 void bayes ( vec dt ); 67 //!Logarithm of marginalized data likelihood. 68 double ll; 69 70 /*! \brief Incremental Bayes rule 71 @param dt vector of input data 72 @param evall If true, the filter will compute likelihood of the data record and store it in \c ll 73 */ 74 virtual void bayes ( const vec &dt, bool evall=true ) = 0; 69 75 //! Batch Bayes rule (columns of Dt are observations) 70 v irtual void bayes ( mat Dt );76 void bayes ( mat Dt ); 71 77 }; 72 78