ROOT
6.07/01
Reference Guide
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Definition at line 75 of file MethodCuts.h.
Public Member Functions | |
MethodCuts (const TString &jobName, const TString &methodTitle, DataSetInfo &theData, const TString &theOption="MC:150:10000:", TDirectory *theTargetFile=0) | |
MethodCuts (DataSetInfo &theData, const TString &theWeightFile, TDirectory *theTargetDir=NULL) | |
construction from weight file More... | |
virtual | ~MethodCuts (void) |
destructor More... | |
virtual Bool_t | HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t numberTargets) |
Cuts can only handle classification with 2 classes. More... | |
void | Train (void) |
training method: here the cuts are optimised for the training sample More... | |
void | AddWeightsXMLTo (void *parent) const |
create XML description for LD classification and regression (for arbitrary number of output classes/targets) More... | |
void | ReadWeightsFromStream (std::istream &i) |
read the cuts from stream More... | |
void | ReadWeightsFromXML (void *wghtnode) |
read coefficients from xml weight file More... | |
Double_t | GetMvaValue (Double_t *err=0, Double_t *errUpper=0) |
cut evaluation: returns 1.0 if event passed, 0.0 otherwise More... | |
void | WriteMonitoringHistosToFile (void) const |
write histograms and PDFs to file for monitoring purposes More... | |
void | TestClassification () |
nothing to test More... | |
Double_t | GetSeparation (TH1 *, TH1 *) const |
compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx } More... | |
Double_t | GetSeparation (PDF *=0, PDF *=0) const |
compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx } More... | |
Double_t | GetSignificance (void) const |
compute significance of mean difference significance = |<S> - |/Sqrt(RMS_S2 + RMS_B2) More... | |
Double_t | GetmuTransform (TTree *) |
Double_t | GetEfficiency (const TString &, Types::ETreeType, Double_t &) |
Double_t | GetTrainingEfficiency (const TString &) |
Double_t | GetRarity (Double_t, Types::ESBType) const |
compute rarity: R(x) = Integrate_[-oo..x] { PDF(x') dx' } where PDF(x) is the PDF of the classifier's signal or background distribution More... | |
Double_t | ComputeEstimator (std::vector< Double_t > &) |
returns estimator for "cut fitness" used by GA there are two requirements: 1) the signal efficiency must be equal to the required one in the efficiency scan 2) the background efficiency must be as small as possible the requirement 1) has priority over 2) More... | |
Double_t | EstimatorFunction (std::vector< Double_t > &) |
returns estimator for "cut fitness" used by GA More... | |
Double_t | EstimatorFunction (Int_t ievt1, Int_t ievt2) |
for full event scan More... | |
void | SetTestSignalEfficiency (Double_t effS) |
void | PrintCuts (Double_t effS) const |
print cuts More... | |
Double_t | GetCuts (Double_t effS, std::vector< Double_t > &cutMin, std::vector< Double_t > &cutMax) const |
retrieve cut values for given signal efficiency More... | |
Double_t | GetCuts (Double_t effS, Double_t *cutMin, Double_t *cutMax) const |
retrieve cut values for given signal efficiency assume vector of correct size !! More... | |
const Ranking * | CreateRanking () |
void | DeclareOptions () |
define the options (their key words) that can be set in the option string know options: Method <string> Minimisation method available values are: MC Monte Carlo <default> GA Genetic Algorithm SA Simulated annealing More... | |
void | ProcessOptions () |
process user options sanity check, do not allow the input variables to be normalised, because this only creates problems when interpreting the cuts More... | |
void | CheckSetup () |
check may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase) More... | |
Public Member Functions inherited from TMVA::MethodBase | |
MethodBase (const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="", TDirectory *theBaseDir=0) | |
standard constructur More... | |
MethodBase (Types::EMVA methodType, DataSetInfo &dsi, const TString &weightFile, TDirectory *theBaseDir=0) | |
constructor used for Testing + Application of the MVA, only (no training), using given WeightFiles More... | |
virtual | ~MethodBase () |
destructor More... | |
void | SetupMethod () |
setup of methods More... | |
void | ProcessSetup () |
process all options the "CheckForUnusedOptions" is done in an independent call, since it may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase) More... | |
void | AddOutput (Types::ETreeType type, Types::EAnalysisType analysisType) |
void | TrainMethod () |
virtual std::map< TString, Double_t > | OptimizeTuningParameters (TString fomType="ROCIntegral", TString fitType="FitGA") |
call the Optimzier with the set of paremeters and ranges that are meant to be tuned. More... | |
virtual void | SetTuneParameters (std::map< TString, Double_t > tuneParameters) |
set the tuning parameters accoding to the argument This is just a dummy . More... | |
void | SetTrainTime (Double_t trainTime) |
Double_t | GetTrainTime () const |
void | SetTestTime (Double_t testTime) |
Double_t | GetTestTime () const |
virtual Double_t | GetKSTrainingVsTest (Char_t SorB, TString opt="X") |
virtual void | TestMulticlass () |
test multiclass classification More... | |
virtual void | TestRegression (Double_t &bias, Double_t &biasT, Double_t &dev, Double_t &devT, Double_t &rms, Double_t &rmsT, Double_t &mInf, Double_t &mInfT, Double_t &corr, Types::ETreeType type) |
calculate <sum-of-deviation-squared> of regression output versus "true" value from test sample More... | |
virtual void | DeclareCompatibilityOptions () |
options that are used ONLY for the READER to ensure backward compatibility they are hence without any effect (the reader is only reading the training options that HAD been used at the training of the .xml weightfile at hand More... | |
virtual void | Reset () |
Double_t | GetMvaValue (const TMVA::Event *const ev, Double_t *err=0, Double_t *errUpper=0) |
const std::vector< Float_t > & | GetRegressionValues (const TMVA::Event *const ev) |
virtual const std::vector < Float_t > & | GetRegressionValues () |
virtual const std::vector < Float_t > & | GetMulticlassValues () |
virtual Double_t | GetProba (const Event *ev) |
virtual Double_t | GetProba (Double_t mvaVal, Double_t ap_sig) |
compute likelihood ratio More... | |
virtual void | MakeClass (const TString &classFileName=TString("")) const |
create reader class for method (classification only at present) More... | |
void | PrintHelpMessage () const |
prints out method-specific help method More... | |
void | WriteStateToFile () const |
write options and weights to file note that each one text file for the main configuration information and one ROOT file for ROOT objects are created More... | |
void | ReadStateFromFile () |
Function to write options and weights to file. More... | |
void | ReadStateFromStream (std::istream &tf) |
read the header from the weight files of the different MVA methods More... | |
void | ReadStateFromStream (TFile &rf) |
write reference MVA distributions (and other information) to a ROOT type weight file More... | |
void | ReadStateFromXMLString (const char *xmlstr) |
for reading from memory More... | |
virtual void | WriteEvaluationHistosToFile (Types::ETreeType treetype) |
writes all MVA evaluation histograms to file More... | |
virtual std::vector< Float_t > | GetMulticlassEfficiency (std::vector< std::vector< Float_t > > &purity) |
virtual std::vector< Float_t > | GetMulticlassTrainingEfficiency (std::vector< std::vector< Float_t > > &purity) |
virtual Double_t | GetROCIntegral (TH1D *histS, TH1D *histB) const |
calculate the area (integral) under the ROC curve as a overall quality measure of the classification More... | |
virtual Double_t | GetROCIntegral (PDF *pdfS=0, PDF *pdfB=0) const |
calculate the area (integral) under the ROC curve as a overall quality measure of the classification More... | |
virtual Double_t | GetMaximumSignificance (Double_t SignalEvents, Double_t BackgroundEvents, Double_t &optimal_significance_value) const |
plot significance, S/Sqrt(S^2 + B^2), curve for given number of signal and background events; returns cut for maximum significance also returned via reference is the maximum significance More... | |
virtual void | GetRegressionDeviation (UInt_t tgtNum, Types::ETreeType type, Double_t &stddev, Double_t &stddev90Percent) const |
const TString & | GetJobName () const |
const TString & | GetMethodName () const |
TString | GetMethodTypeName () const |
Types::EMVA | GetMethodType () const |
const char * | GetName () const |
Returns name of object. More... | |
const TString & | GetTestvarName () const |
const TString | GetProbaName () const |
TString | GetWeightFileName () const |
retrieve weight file name More... | |
void | SetTestvarName (const TString &v="") |
UInt_t | GetNvar () const |
UInt_t | GetNVariables () const |
UInt_t | GetNTargets () const |
const TString & | GetInputVar (Int_t i) const |
const TString & | GetInputLabel (Int_t i) const |
const TString & | GetInputTitle (Int_t i) const |
Double_t | GetMean (Int_t ivar) const |
Double_t | GetRMS (Int_t ivar) const |
Double_t | GetXmin (Int_t ivar) const |
Double_t | GetXmax (Int_t ivar) const |
Double_t | GetSignalReferenceCut () const |
Double_t | GetSignalReferenceCutOrientation () const |
void | SetSignalReferenceCut (Double_t cut) |
void | SetSignalReferenceCutOrientation (Double_t cutOrientation) |
TDirectory * | BaseDir () const |
returns the ROOT directory where info/histograms etc of the corresponding MVA method instance are stored More... | |
TDirectory * | MethodBaseDir () const |
returns the ROOT directory where all instances of the corresponding MVA method are stored More... | |
void | SetMethodDir (TDirectory *methodDir) |
void | SetBaseDir (TDirectory *methodDir) |
void | SetMethodBaseDir (TDirectory *methodDir) |
UInt_t | GetTrainingTMVAVersionCode () const |
UInt_t | GetTrainingROOTVersionCode () const |
TString | GetTrainingTMVAVersionString () const |
calculates the TMVA version string from the training version code on the fly More... | |
TString | GetTrainingROOTVersionString () const |
calculates the ROOT version string from the training version code on the fly More... | |
TransformationHandler & | GetTransformationHandler (Bool_t takeReroutedIfAvailable=true) |
const TransformationHandler & | GetTransformationHandler (Bool_t takeReroutedIfAvailable=true) const |
void | RerouteTransformationHandler (TransformationHandler *fTargetTransformation) |
DataSet * | Data () const |
DataSetInfo & | DataInfo () const |
UInt_t | GetNEvents () const |
temporary event when testing on a different DataSet than the own one More... | |
const Event * | GetEvent () const |
const Event * | GetEvent (const TMVA::Event *ev) const |
const Event * | GetEvent (Long64_t ievt) const |
const Event * | GetEvent (Long64_t ievt, Types::ETreeType type) const |
const Event * | GetTrainingEvent (Long64_t ievt) const |
const Event * | GetTestingEvent (Long64_t ievt) const |
const std::vector< TMVA::Event * > & | GetEventCollection (Types::ETreeType type) |
returns the event collection (i.e. More... | |
virtual Bool_t | IsSignalLike () |
uses a pre-set cut on the MVA output (SetSignalReferenceCut and SetSignalReferenceCutOrientation) for a quick determination if an event would be selected as signal or background More... | |
virtual Bool_t | IsSignalLike (Double_t mvaVal) |
uses a pre-set cut on the MVA output (SetSignalReferenceCut and SetSignalReferenceCutOrientation) for a quick determination if an event with this mva output value would tbe selected as signal or background More... | |
Bool_t | HasMVAPdfs () const |
virtual void | SetAnalysisType (Types::EAnalysisType type) |
Types::EAnalysisType | GetAnalysisType () const |
Bool_t | DoRegression () const |
Bool_t | DoMulticlass () const |
void | DisableWriting (Bool_t setter) |
Public Member Functions inherited from TMVA::IMethod | |
IMethod () | |
virtual | ~IMethod () |
Public Member Functions inherited from TMVA::Configurable | |
Configurable (const TString &theOption="") | |
virtual | ~Configurable () |
default destructur More... | |
virtual void | ParseOptions () |
options parser More... | |
void | PrintOptions () const |
prints out the options set in the options string and the defaults More... | |
const char * | GetConfigName () const |
const char * | GetConfigDescription () const |
void | SetConfigName (const char *n) |
void | SetConfigDescription (const char *d) |
template<class T > | |
OptionBase * | DeclareOptionRef (T &ref, const TString &name, const TString &desc="") |
template<class T > | |
OptionBase * | DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc="") |
template<class T > | |
void | AddPreDefVal (const T &) |
template<class T > | |
void | AddPreDefVal (const TString &optname, const T &) |
void | CheckForUnusedOptions () const |
checks for unused options in option string More... | |
const TString & | GetOptions () const |
void | SetOptions (const TString &s) |
void | WriteOptionsToStream (std::ostream &o, const TString &prefix) const |
write options to output stream (e.g. in writing the MVA weight files More... | |
void | ReadOptionsFromStream (std::istream &istr) |
read option back from the weight file More... | |
void | AddOptionsXMLTo (void *parent) const |
write options to XML file More... | |
void | ReadOptionsFromXML (void *node) |
void | SetMsgType (EMsgType t) |
template<class T > | |
TMVA::OptionBase * | DeclareOptionRef (T &ref, const TString &name, const TString &desc) |
template<class T > | |
TMVA::OptionBase * | DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc) |
Public Member Functions inherited from TObject | |
TObject () | |
TObject (const TObject &object) | |
TObject copy ctor. More... | |
TObject & | operator= (const TObject &rhs) |
TObject assignment operator. More... | |
virtual | ~TObject () |
TObject destructor. More... | |
virtual void | AppendPad (Option_t *option="") |
Append graphics object to current pad. More... | |
virtual void | Browse (TBrowser *b) |
Browse object. May be overridden for another default action. More... | |
virtual const char * | ClassName () const |
Returns name of class to which the object belongs. More... | |
virtual void | Clear (Option_t *="") |
virtual TObject * | Clone (const char *newname="") const |
Make a clone of an object using the Streamer facility. More... | |
virtual Int_t | Compare (const TObject *obj) const |
Compare abstract method. More... | |
virtual void | Copy (TObject &object) const |
Copy this to obj. More... | |
virtual void | Delete (Option_t *option="") |
Delete this object. More... | |
virtual Int_t | DistancetoPrimitive (Int_t px, Int_t py) |
Computes distance from point (px,py) to the object. More... | |
virtual void | Draw (Option_t *option="") |
Default Draw method for all objects. More... | |
virtual void | DrawClass () const |
Draw class inheritance tree of the class to which this object belongs. More... | |
virtual TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current pad. More... | |
virtual void | Dump () const |
Dump contents of object on stdout. More... | |
virtual void | Execute (const char *method, const char *params, Int_t *error=0) |
Execute method on this object with the given parameter string, e.g. More... | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=0) |
Execute method on this object with parameters stored in the TObjArray. More... | |
virtual void | ExecuteEvent (Int_t event, Int_t px, Int_t py) |
Execute action corresponding to an event at (px,py). More... | |
virtual TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. More... | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. More... | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. More... | |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. More... | |
virtual const char * | GetIconName () const |
Returns mime type name of object. More... | |
virtual Option_t * | GetOption () const |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). More... | |
virtual const char * | GetTitle () const |
Returns title of object. More... | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. More... | |
virtual ULong_t | Hash () const |
Return hash value for this object. More... | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". More... | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. More... | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. More... | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More... | |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). More... | |
virtual Bool_t | IsSortable () const |
Bool_t | IsOnHeap () const |
Bool_t | IsZombie () const |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification. More... | |
virtual void | ls (Option_t *option="") const |
The ls function lists the contents of a class on stdout. More... | |
virtual void | Paint (Option_t *option="") |
This method must be overridden if a class wants to paint itself. More... | |
virtual void | Pop () |
Pop on object drawn in a pad to the top of the display list. More... | |
virtual void | Print (Option_t *option="") const |
This method must be overridden when a class wants to print itself. More... | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. More... | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. More... | |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. More... | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". More... | |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. More... | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. More... | |
virtual void | UseCurrentStyle () |
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. More... | |
virtual Int_t | Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. More... | |
void * | operator new (size_t sz) |
void * | operator new[] (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz, void *vp) |
void | operator delete (void *ptr) |
Operator delete. More... | |
void | operator delete[] (void *ptr) |
Operator delete []. More... | |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. More... | |
void | SetBit (UInt_t f) |
void | ResetBit (UInt_t f) |
Bool_t | TestBit (UInt_t f) const |
Int_t | TestBits (UInt_t f) const |
void | InvertBit (UInt_t f) |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. More... | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. More... | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. More... | |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. More... | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. More... | |
void | AbstractMethod (const char *method) const |
Use this method to implement an "abstract" method that you don't want to leave purely abstract. More... | |
void | MayNotUse (const char *method) const |
Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). More... | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. More... | |
Public Member Functions inherited from TMVA::IFitterTarget | |
IFitterTarget () | |
virtual | ~IFitterTarget () |
virtual void | ProgressNotifier (TString, TString) |
Static Public Member Functions | |
static MethodCuts * | DynamicCast (IMethod *method) |
Static Public Member Functions inherited from TObject | |
static Long_t | GetDtorOnly () |
Return destructor only flag. More... | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. More... | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. More... | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. More... | |
Static Public Attributes | |
static const Double_t | fgMaxAbsCutVal |
Protected Member Functions | |
void | MakeClassSpecific (std::ostream &, const TString &) const |
write specific classifier response More... | |
void | GetHelpMessage () const |
get help message text More... | |
Protected Member Functions inherited from TMVA::MethodBase | |
void | NoErrorCalc (Double_t *const err, Double_t *const errUpper) |
virtual void | ReadWeightsFromStream (TFile &) |
void | SetWeightFileName (TString) |
set the weight file name (depreciated) More... | |
const TString & | GetWeightFileDir () const |
void | SetWeightFileDir (TString fileDir) |
set directory of weight file More... | |
Bool_t | IsNormalised () const |
void | SetNormalised (Bool_t norm) |
Bool_t | Verbose () const |
Bool_t | Help () const |
const TString & | GetInternalVarName (Int_t ivar) const |
const TString & | GetOriginalVarName (Int_t ivar) const |
Bool_t | HasTrainingTree () const |
virtual void | MakeClassSpecificHeader (std::ostream &, const TString &="") const |
void | Statistics (Types::ETreeType treeType, const TString &theVarName, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &, Double_t &) |
calculates rms,mean, xmin, xmax of the event variable this can be either done for the variables as they are or for normalised variables (in the range of 0-1) if "norm" is set to kTRUE More... | |
Bool_t | TxtWeightsOnly () const |
Bool_t | IsConstructedFromWeightFile () const |
Bool_t | IgnoreEventsWithNegWeightsInTraining () const |
Protected Member Functions inherited from TMVA::Configurable | |
Bool_t | LooseOptionCheckingEnabled () const |
void | EnableLooseOptions (Bool_t b=kTRUE) |
void | WriteOptionsReferenceToFile () |
write complete options to output stream More... | |
void | ResetSetFlag () |
resets the IsSet falg for all declare options to be called before options are read from stream More... | |
const TString & | GetReferenceFile () const |
MsgLogger & | Log () const |
Protected Member Functions inherited from TObject | |
void | MakeZombie () |
virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). More... | |
Private Types | |
enum | EFitMethodType { kUseMonteCarlo = 0, kUseGeneticAlgorithm, kUseSimulatedAnnealing, kUseMinuit, kUseEventScan, kUseMonteCarloEvents } |
enum | EEffMethod { kUseEventSelection = 0, kUsePDFs } |
enum | EFitParameters { kNotEnforced = 0, kForceMin, kForceMax, kForceSmart } |
Private Member Functions | |
void | MatchParsToCuts (const std::vector< Double_t > &, Double_t *, Double_t *) |
translates parameters into cuts More... | |
void | MatchParsToCuts (Double_t *, Double_t *, Double_t *) |
void | MatchCutsToPars (std::vector< Double_t > &, Double_t *, Double_t *) |
translates cuts into parameters More... | |
void | MatchCutsToPars (std::vector< Double_t > &, Double_t **, Double_t **, Int_t ibin) |
translate the cuts into parameters (obsolete function) More... | |
void | CreateVariablePDFs (void) |
for PDF method: create efficiency reference histograms and PDFs More... | |
void | GetEffsfromSelection (Double_t *cutMin, Double_t *cutMax, Double_t &effS, Double_t &effB) |
compute signal and background efficiencies from event counting for given cut sample More... | |
void | GetEffsfromPDFs (Double_t *cutMin, Double_t *cutMax, Double_t &effS, Double_t &effB) |
compute signal and background efficiencies from PDFs for given cut sample More... | |
void | Init (void) |
default initialisation called by all constructors More... | |
Private Attributes | |
TString | fFitMethodS |
EFitMethodType | fFitMethod |
TString | fEffMethodS |
EEffMethod | fEffMethod |
std::vector< EFitParameters > * | fFitParams |
Double_t | fTestSignalEff |
Double_t | fEffSMin |
Double_t | fEffSMax |
Double_t * | fCutRangeMin |
Double_t * | fCutRangeMax |
std::vector< Interval * > | fCutRange |
BinarySearchTree * | fBinaryTreeS |
BinarySearchTree * | fBinaryTreeB |
Double_t ** | fCutMin |
Double_t ** | fCutMax |
Double_t * | fTmpCutMin |
Double_t * | fTmpCutMax |
TString * | fAllVarsI |
Int_t | fNpar |
Double_t | fEffRef |
std::vector< Int_t > * | fRangeSign |
TRandom * | fRandom |
std::vector< Double_t > * | fMeanS |
std::vector< Double_t > * | fMeanB |
std::vector< Double_t > * | fRmsS |
std::vector< Double_t > * | fRmsB |
TH1 * | fEffBvsSLocal |
std::vector< TH1 * > * | fVarHistS |
std::vector< TH1 * > * | fVarHistB |
std::vector< TH1 * > * | fVarHistS_smooth |
std::vector< TH1 * > * | fVarHistB_smooth |
std::vector< PDF * > * | fVarPdfS |
std::vector< PDF * > * | fVarPdfB |
Bool_t | fNegEffWarning |
Additional Inherited Members | |
Public Types inherited from TMVA::MethodBase | |
enum | EWeightFileType { kROOT =0, kTEXT } |
Public Types inherited from TObject | |
enum | EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) } |
enum | { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff } |
enum | { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) } |
Public Attributes inherited from TMVA::MethodBase | |
const Event * | fTmpEvent |
Bool_t | fSetupCompleted |
Static Protected Member Functions inherited from TMVA::MethodBase | |
static MethodBase * | GetThisBase () |
return a pointer the base class of this method More... | |
Protected Attributes inherited from TMVA::MethodBase | |
Ranking * | fRanking |
std::vector< TString > * | fInputVars |
Int_t | fNbins |
Int_t | fNbinsMVAoutput |
Int_t | fNbinsH |
Types::EAnalysisType | fAnalysisType |
std::vector< Float_t > * | fRegressionReturnVal |
std::vector< Float_t > * | fMulticlassReturnVal |
UInt_t | fSignalClass |
UInt_t | fBackgroundClass |
#include <TMVA/MethodCuts.h>
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Enumerator | |
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kUseEventSelection | |
kUsePDFs |
Definition at line 173 of file MethodCuts.h.
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Enumerator | |
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kUseMonteCarlo | |
kUseGeneticAlgorithm | |
kUseSimulatedAnnealing | |
kUseMinuit | |
kUseEventScan | |
kUseMonteCarloEvents |
Definition at line 162 of file MethodCuts.h.
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Enumerator | |
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kNotEnforced | |
kForceMin | |
kForceMax | |
kForceSmart |
Definition at line 177 of file MethodCuts.h.
TMVA::MethodCuts::MethodCuts | ( | const TString & | jobName, |
const TString & | methodTitle, | ||
DataSetInfo & | theData, | ||
const TString & | theOption = "MC:150:10000:" , |
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TDirectory * | theTargetFile = 0 |
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) |
TMVA::MethodCuts::MethodCuts | ( | DataSetInfo & | theData, |
const TString & | theWeightFile, | ||
TDirectory * | theTargetDir = NULL |
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) |
construction from weight file
Definition at line 182 of file MethodCuts.cxx.
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destructor
Definition at line 282 of file MethodCuts.cxx.
create XML description for LD classification and regression (for arbitrary number of output classes/targets)
Implements TMVA::MethodBase.
Definition at line 1282 of file MethodCuts.cxx.
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check may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase)
Reimplemented from TMVA::MethodBase.
Definition at line 149 of file MethodCuts.h.
returns estimator for "cut fitness" used by GA there are two requirements: 1) the signal efficiency must be equal to the required one in the efficiency scan 2) the background efficiency must be as small as possible the requirement 1) has priority over 2)
Definition at line 888 of file MethodCuts.cxx.
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Implements TMVA::MethodBase.
Definition at line 140 of file MethodCuts.h.
for PDF method: create efficiency reference histograms and PDFs
Definition at line 1101 of file MethodCuts.cxx.
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define the options (their key words) that can be set in the option string know options: Method <string> Minimisation method available values are: MC Monte Carlo <default> GA Genetic Algorithm SA Simulated annealing
EffMethod <string> Efficiency selection method available values are: EffSel <default> EffPDF
VarProp <string> Property of variable 1 for the MC method (taking precedence over the globale setting. The same values as for the global option are available. Variables 1..10 can be set this way
CutRangeMin/Max <float> user-defined ranges in which cuts are varied
Implements TMVA::MethodBase.
Definition at line 330 of file MethodCuts.cxx.
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inlinestatic |
Definition at line 90 of file MethodCuts.h.
returns estimator for "cut fitness" used by GA
Implements TMVA::IFitterTarget.
Definition at line 875 of file MethodCuts.cxx.
for full event scan
Definition at line 831 of file MethodCuts.cxx.
Double_t TMVA::MethodCuts::GetCuts | ( | Double_t | effS, |
std::vector< Double_t > & | cutMin, | ||
std::vector< Double_t > & | cutMax | ||
) | const |
retrieve cut values for given signal efficiency
Definition at line 561 of file MethodCuts.cxx.
Referenced by TMVAClassificationApplication().
retrieve cut values for given signal efficiency assume vector of correct size !!
Definition at line 546 of file MethodCuts.cxx.
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"theString" must have two entries: [1]: the value of background efficiency at which the signal efficiency is to be returned
Reimplemented from TMVA::MethodBase.
Definition at line 1548 of file MethodCuts.cxx.
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compute signal and background efficiencies from PDFs for given cut sample
Definition at line 1018 of file MethodCuts.cxx.
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compute signal and background efficiencies from event counting for given cut sample
Definition at line 1045 of file MethodCuts.cxx.
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get help message text
typical length of text line: "|--------------------------------------------------------------|"
Implements TMVA::IMethod.
Definition at line 1712 of file MethodCuts.cxx.
Definition at line 119 of file MethodCuts.h.
cut evaluation: returns 1.0 if event passed, 0.0 otherwise
Implements TMVA::MethodBase.
Definition at line 442 of file MethodCuts.cxx.
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compute rarity: R(x) = Integrate_[-oo..x] { PDF(x') dx' } where PDF(x) is the PDF of the classifier's signal or background distribution
Reimplemented from TMVA::MethodBase.
Definition at line 124 of file MethodCuts.h.
compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx }
Reimplemented from TMVA::MethodBase.
Definition at line 116 of file MethodCuts.h.
compute "separation" defined as <s2> = (1/2) Int_-oo..+oo { (S(x) - B(x))^2/(S(x) + B(x)) dx }
Reimplemented from TMVA::MethodBase.
Definition at line 117 of file MethodCuts.h.
compute significance of mean difference significance = |<S> - |/Sqrt(RMS_S2 + RMS_B2)
Reimplemented from TMVA::MethodBase.
Definition at line 118 of file MethodCuts.h.
"theString" must have two entries: [1]: the value of background efficiency at which the signal efficiency is to be returned
Reimplemented from TMVA::MethodBase.
Definition at line 1436 of file MethodCuts.cxx.
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Cuts can only handle classification with 2 classes.
Implements TMVA::IMethod.
Definition at line 223 of file MethodCuts.cxx.
default initialisation called by all constructors
Implements TMVA::MethodBase.
Definition at line 232 of file MethodCuts.cxx.
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write specific classifier response
Reimplemented from TMVA::MethodBase.
Definition at line 1700 of file MethodCuts.cxx.
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translates cuts into parameters
Definition at line 1004 of file MethodCuts.cxx.
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translate the cuts into parameters (obsolete function)
Definition at line 982 of file MethodCuts.cxx.
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translates parameters into cuts
Definition at line 969 of file MethodCuts.cxx.
print cuts
Definition at line 475 of file MethodCuts.cxx.
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process user options sanity check, do not allow the input variables to be normalised, because this only creates problems when interpreting the cuts
Implements TMVA::MethodBase.
Definition at line 373 of file MethodCuts.cxx.
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read the cuts from stream
Implements TMVA::MethodBase.
Definition at line 1212 of file MethodCuts.cxx.
read coefficients from xml weight file
Implements TMVA::MethodBase.
Definition at line 1322 of file MethodCuts.cxx.
Definition at line 132 of file MethodCuts.h.
Referenced by TMVA::Reader::EvaluateMVA().
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training method: here the cuts are optimised for the training sample
Implements TMVA::MethodBase.
Definition at line 588 of file MethodCuts.cxx.
write histograms and PDFs to file for monitoring purposes
Reimplemented from TMVA::MethodBase.
Definition at line 1406 of file MethodCuts.cxx.
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Definition at line 204 of file MethodCuts.h.
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Definition at line 197 of file MethodCuts.h.
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Definition at line 196 of file MethodCuts.h.
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Definition at line 201 of file MethodCuts.h.
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Definition at line 200 of file MethodCuts.h.
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Definition at line 193 of file MethodCuts.h.
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Definition at line 192 of file MethodCuts.h.
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Definition at line 191 of file MethodCuts.h.
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Definition at line 218 of file MethodCuts.h.
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Definition at line 186 of file MethodCuts.h.
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Definition at line 185 of file MethodCuts.h.
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Definition at line 208 of file MethodCuts.h.
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Definition at line 190 of file MethodCuts.h.
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Definition at line 189 of file MethodCuts.h.
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Definition at line 184 of file MethodCuts.h.
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Definition at line 183 of file MethodCuts.h.
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Definition at line 187 of file MethodCuts.h.
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static |
Definition at line 146 of file MethodCuts.h.
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Definition at line 214 of file MethodCuts.h.
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Definition at line 213 of file MethodCuts.h.
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Definition at line 229 of file MethodCuts.h.
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Definition at line 207 of file MethodCuts.h.
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Definition at line 210 of file MethodCuts.h.
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Definition at line 209 of file MethodCuts.h.
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Definition at line 216 of file MethodCuts.h.
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Definition at line 215 of file MethodCuts.h.
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Definition at line 188 of file MethodCuts.h.
Referenced by SetTestSignalEfficiency().
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Definition at line 203 of file MethodCuts.h.
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Definition at line 202 of file MethodCuts.h.
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Definition at line 222 of file MethodCuts.h.
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Definition at line 224 of file MethodCuts.h.
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Definition at line 221 of file MethodCuts.h.
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Definition at line 223 of file MethodCuts.h.
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Definition at line 226 of file MethodCuts.h.
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Definition at line 225 of file MethodCuts.h.