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| ConvolutionPdf (std::string n, Observable _x, GooPdf *model, GooPdf *resolution) |
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| ConvolutionPdf (std::string n, Observable _x, GooPdf *model, GooPdf *resolution, unsigned int numOthers) |
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__host__ fptype | normalize () const override |
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__host__ void | setIntegrationConstants (fptype lo, fptype hi, fptype step) |
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__host__ void | registerOthers (std::vector< ConvolutionPdf *> others) |
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double | calculateNLL () const override |
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__host__ std::vector< fptype > | evaluateAtPoints (Observable var) |
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__host__ fptype | normalize () const override |
| A normalize function. This fills in the host_normalize. More...
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__host__ fptype | normalise () const |
| Just in case you are British and the previous spelling is offensive. More...
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virtual __host__ fptype | integrate (fptype lo, fptype hi) const |
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__host__ bool | hasAnalyticIntegral () const override |
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__host__ fptype | getValue (EvalFunc evalfunc=EvalFunc::Eval) |
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__host__ std::vector< std::vector< fptype > > | getCompProbsAtDataPoints () |
| Produce a list of probabilies at points. More...
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__host__ UnbinnedDataSet | makeGrid () |
| Set an equidistant grid based on the stored variable binning. More...
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__host__ void | initialize (std::vector< unsigned int > pindices, void *dev_functionPtr=host_fcn_ptr) |
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__host__ void | scan (Observable var, std::vector< fptype > &values) |
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__host__ void | setFitControl (std::shared_ptr< FitControl > fc) override |
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virtual __host__ void | setMetrics () |
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__host__ void | setParameterConstantness (bool constant=true) |
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virtual __host__ void | transformGrid (fptype *host_output) |
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__host__ void | setDebugMask (int mask, bool setSpecific=true) const |
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template<typename... Args> |
| PdfBase (std::string n, Args... args) |
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virtual | ~PdfBase ()=default |
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__host__ void | initializeIndices (std::vector< unsigned int > pindices) |
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__host__ void | addSpecialMask (int m) |
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__host__ void | copyParams (const std::vector< double > &pars) const |
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__host__ void | copyParams () |
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__host__ void | copyNormFactors () const |
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__host__ void | generateNormRange () |
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__host__ std::string | getName () const |
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virtual __host__ std::vector< Observable > | getObservables () const |
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virtual __host__ std::vector< Variable > | getParameters () const |
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__host__ Variable * | getParameterByName (std::string n) |
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__host__ int | getSpecialMask () const |
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__host__ void | setData (DataSet *data) |
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__host__ DataSet * | getData () |
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__host__ ROOT::Minuit2::FunctionMinimum | fitTo (DataSet *data, int verbosity=3) |
| RooFit style fitting shortcut. More...
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__host__ unsigned int | getFunctionIndex () const |
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__host__ unsigned int | getParameterIndex () const |
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__host__ unsigned int | registerParameter (Variable var) |
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__host__ unsigned int | registerConstants (unsigned int amount) |
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virtual __host__ void | recursiveSetNormalisation (fptype norm=1) const |
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__host__ void | unregisterParameter (Variable var) |
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__host__ void | registerObservable (Observable obs) |
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__host__ void | setIntegrationFineness (int i) |
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__host__ void | printProfileInfo (bool topLevel=true) |
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__host__ bool | parametersChanged () const |
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__host__ void | checkInitStatus (std::vector< std::string > &unInited) const |
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void | clearCurrentFit () |
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__host__ void | SigGenSetIndices () |
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Definition at line 8 of file ConvolutionPdf.h.