#include <libBM.h>
Public Member Functions | |
BM (const RV &rv0, double ll0=0, bool evalll0=true) | |
Default constructor. | |
BM (const BM &B) | |
Copy constructor. | |
virtual void | bayes (const vec &dt)=0 |
Incremental Bayes rule. | |
virtual void | bayesB (const mat &Dt) |
Batch Bayes rule (columns of Dt are observations). | |
virtual const epdf & | _epdf () const =0 |
Returns a pointer to the epdf representing posterior density on parameters. Use with care! | |
virtual double | logpred (const vec &dt) const |
virtual | ~BM () |
Destructor for future use;. | |
const RV & | _rv () const |
access function | |
double | _ll () const |
access function | |
void | set_evalll (bool evl0) |
access function | |
virtual BM * | _copy_ (bool changerv=false) |
Protected Attributes | |
RV | rv |
Random variable of the posterior. | |
double | ll |
Logarithm of marginalized data likelihood. | |
bool | evalll |
If true, the filter will compute likelihood of the data record and store it in ll . Set to false if you want to save computational time. |
virtual void BM::bayes | ( | const vec & | dt | ) | [pure virtual] |
Incremental Bayes rule.
dt | vector of input data |
Implemented in ARX, Kalman< sq_T >, KalmanCh, EKFfull, EKF< sq_T >, EKFCh, PF, MPF< BM_T >, MixEF, BMEF, multiBM, EKFfixed, Kalman< ldmat >, Kalman< chmat >, and Kalman< fsqmat >.
Referenced by bayesB().
virtual double BM::logpred | ( | const vec & | dt | ) | const [inline, virtual] |
virtual BM* BM::_copy_ | ( | bool | changerv = false |
) | [inline, virtual] |
Copy function required in vectors, Arrays of BM etc. Have to be DELETED manually! Prototype: BM* _copy_(){BM Tmp*=new Tmp(this*); return Tmp; }
Reimplemented in ARX.
Referenced by MixEF::MixEF().