void SRBM::
Reconstruct(double *pIn, int len,
vector<double> &rProbs, vector<double>& rRes)
{
vector<double> Qvec, HidVec;
Sampling(pIn, len, Qvec, HidVec, H_GIVEN_V);
Sampling(&Qvec[0], m_hNum, rProbs, rRes, V_GIVEN_H);
}
vtkDataSet *
avtLineoutFilter::ExecuteData(vtkDataSet *in_ds, int domain, std::string)
{
if (!samplingOn)
return NoSampling(in_ds, domain);
else
return Sampling(in_ds, domain);
}
void CSamplingInfEngine::Continue( int dt )
{
PNL_CHECK_LEFT_BORDER( dt, 0);
int startTime = GetMaxTime();
PNL_CHECK_LEFT_BORDER( startTime, 0);
int endTime = startTime + dt;
SetMaxTime(endTime);
Sampling( startTime, endTime );
}
/*
inline void Primitive::EvaluateError(double* par,int m_dat,double* fvec,void *data,NLMin<Primitive>::lm_status_type *status){
Sampling(par);
double tmp=0;
totDistance=0;
for(int i=0;i<m_dat;i++){
tmp=(double)vcg::Distance(cloudSampling[i],cloudNearPoints[i]);
//myfvec[i]=tmp;
//fvec[i]=tmp*weight[i];
fvec[i]=tmp;
totDistance+=tmp;
}
}
*/
int Primitive::EvaluateError(void *data,int m_dat,int n,const double* par,double* fvec,int iflag){
Sampling(par);
double tmp=0;
totDistance=0;
for(int i=0;i<m_dat;i++){
tmp=(double)vcg::Distance(cloudSampling[i],cloudNearPoints[i]);
fvec[i]=tmp;
totDistance+=tmp;
}
return 0;
}
void main( void )
{
I2C_init();
Sampling(SAMPLES_PER_SECOND, ADCgain);
while(1){
left_input = generate_sinewave_L(250, 10000);
right_input = generate_sinewave_R(250, 10000);
//filter input
left_output = FIR_filter_asm(&hp[0], left_input);
right_output = FIR_filter_asm_2(&hp[0], right_input);
codec_write(left_output, right_output);
}
}
void CGibbsSamplingInfEngine::
EnterEvidence( const CEvidence *pEvidenceIn, int maximize, int sumOnMixtureNode )
{
if( !m_queryes.size() )
{
PNL_THROW( CAlgorithmicException, "Possible queryes must be defined");
}
PNL_CHECK_IS_NULL_POINTER(pEvidenceIn);
m_pEvidence = pEvidenceIn;
m_bMaximize = maximize;
DestroyCurrentEvidences();
DestroyQueryFactors();
if(GetModel()->GetModelType() == mtBNet)
{
static_cast< const CBNet* >(GetModel())->
GenerateSamples( GetCurrentEvidences(), GetNumStreams(), pEvidenceIn );
}
else
{
static_cast< const CMNet* >(GetModel())->
GenerateSamples( GetCurrentEvidences(), GetNumStreams(), pEvidenceIn );
}
CreateQueryFactors();
boolVector sampleIsNeed;
if( m_bUsingDSep )
{
ConsDSep( m_queryes, &sampleIsNeed, m_pEvidence );
}
else
{
FindCurrentNdsForSampling( &sampleIsNeed );
}
SetSamplingNdsFlags(sampleIsNeed);
Sampling( 0, GetMaxTime() );
}
