28#ifndef ROOT_TMVA_MethodBayesClassifier
29#define ROOT_TMVA_MethodBayesClassifier
#define ClassDef(name, id)
Class that contains all the data information.
Virtual base Class for all MVA method.
virtual void ReadWeightsFromStream(std::istream &)=0
Description of bayesian classifiers.
void GetHelpMessage() const
get help message text
void ProcessOptions()
the option string is decoded, for available options see "DeclareOptions"
virtual ~MethodBayesClassifier(void)
destructor
const Ranking * CreateRanking()
Double_t GetMvaValue(Double_t *err=0, Double_t *errUpper=0)
returns MVA value for given event
void MakeClassSpecific(std::ostream &, const TString &) const
write specific classifier response
void ReadWeightsFromStream(std::istream &istr)
read back the training results from a file (stream)
void AddWeightsXMLTo(void *parent) const
void DeclareOptions()
define the options (their key words) that can be set in the option string
void Train(void)
some training
MethodBayesClassifier(const TString &jobName, const TString &methodTitle, DataSetInfo &theData, const TString &theOption="")
standard constructor
virtual Bool_t HasAnalysisType(Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets)
Variable can handle classification with 2 classes.
void ReadWeightsFromXML(void *)
void Init(void)
default initialisation
Ranking for variables in method (implementation)
create variable transformations