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Reference Guide
TMVA::MethodPyTorch Class Reference

Definition at line 34 of file MethodPyTorch.h.

Public Member Functions

 MethodPyTorch (const TString &jobName, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="")
  More...
 
 MethodPyTorch (DataSetInfo &dsi, const TString &theWeightFile)
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 ~MethodPyTorch ()
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virtual void AddWeightsXMLTo (void *) const
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const RankingCreateRanking ()
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void DeclareOptions ()
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void GetHelpMessage () const
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std::vector< Float_t > & GetMulticlassValues ()
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Double_t GetMvaValue (Double_t *errLower, Double_t *errUpper)
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std::vector< Double_tGetMvaValues (Long64_t firstEvt, Long64_t lastEvt, Bool_t logProgress)
 get all the MVA values for the events of the current Data type More...
 
std::vector< Float_t > & GetRegressionValues ()
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Bool_t HasAnalysisType (Types::EAnalysisType type, UInt_t numberClasses, UInt_t)
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void Init ()
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void ProcessOptions ()
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void ReadModelFromFile ()
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virtual void ReadWeightsFromStream (std::istream &)
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virtual void ReadWeightsFromStream (TFile &)
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virtual void ReadWeightsFromXML (void *)
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virtual void TestClassification ()
 initialization More...
 
void Train ()
  More...
 
- Public Member Functions inherited from TMVA::PyMethodBase
 PyMethodBase (const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="")
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 PyMethodBase (Types::EMVA methodType, DataSetInfo &dsi, const TString &weightFile)
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virtual ~PyMethodBase ()
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PyObjectEval (TString code)
 Evaluate Python code. More...
 
- Public Member Functions inherited from TMVA::MethodBase
 MethodBase (const TString &jobName, Types::EMVA methodType, const TString &methodTitle, DataSetInfo &dsi, const TString &theOption="")
 standard constructor More...
 
 MethodBase (Types::EMVA methodType, DataSetInfo &dsi, const TString &weightFile)
 constructor used for Testing + Application of the MVA, only (no training), using given WeightFiles More...
 
virtual ~MethodBase ()
 destructor More...
 
void AddOutput (Types::ETreeType type, Types::EAnalysisType analysisType)
  More...
 
TDirectoryBaseDir () const
 returns the ROOT directory where info/histograms etc of the corresponding MVA method instance are stored More...
 
virtual void CheckSetup ()
 check may be overridden by derived class (sometimes, eg, fitters are used which can only be implemented during training phase) More...
 
DataSetData () const
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DataSetInfoDataInfo () const
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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 weight file at hand More...
 
void DisableWriting (Bool_t setter)
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Bool_t DoMulticlass () const
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Bool_t DoRegression () const
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void ExitFromTraining ()
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Types::EAnalysisType GetAnalysisType () const
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UInt_t GetCurrentIter ()
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virtual Double_t GetEfficiency (const TString &, Types::ETreeType, Double_t &err)
 fill background efficiency (resp. More...
 
const EventGetEvent () const
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const EventGetEvent (const TMVA::Event *ev) const
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const EventGetEvent (Long64_t ievt) const
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const EventGetEvent (Long64_t ievt, Types::ETreeType type) const
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const std::vector< TMVA::Event * > & GetEventCollection (Types::ETreeType type)
 returns the event collection (i.e. More...
 
TFileGetFile () const
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const TStringGetInputLabel (Int_t i) const
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const char * GetInputTitle (Int_t i) const
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const TStringGetInputVar (Int_t i) const
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TMultiGraphGetInteractiveTrainingError ()
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const TStringGetJobName () const
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virtual Double_t GetKSTrainingVsTest (Char_t SorB, TString opt="X")
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virtual Double_t GetMaximumSignificance (Double_t SignalEvents, Double_t BackgroundEvents, Double_t &optimal_significance_value) const
 plot significance, \( \frac{S}{\sqrt{S^2 + B^2}} \), curve for given number of signal and background events; returns cut for maximum significance also returned via reference is the maximum significance More...
 
UInt_t GetMaxIter ()
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Double_t GetMean (Int_t ivar) const
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const TStringGetMethodName () const
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Types::EMVA GetMethodType () const
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TString GetMethodTypeName () const
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virtual TMatrixD GetMulticlassConfusionMatrix (Double_t effB, Types::ETreeType type)
 Construct a confusion matrix for a multiclass classifier. More...
 
virtual std::vector< Float_tGetMulticlassEfficiency (std::vector< std::vector< Float_t > > &purity)
  More...
 
virtual std::vector< Float_tGetMulticlassTrainingEfficiency (std::vector< std::vector< Float_t > > &purity)
  More...
 
Double_t GetMvaValue (const TMVA::Event *const ev, Double_t *err=0, Double_t *errUpper=0)
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const char * GetName () const
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UInt_t GetNEvents () const
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UInt_t GetNTargets () const
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UInt_t GetNvar () const
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UInt_t GetNVariables () const
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virtual Double_t GetProba (const Event *ev)
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virtual Double_t GetProba (Double_t mvaVal, Double_t ap_sig)
 compute likelihood ratio More...
 
const TString GetProbaName () const
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virtual Double_t GetRarity (Double_t mvaVal, Types::ESBType reftype=Types::kBackground) const
 compute rarity: More...
 
virtual void GetRegressionDeviation (UInt_t tgtNum, Types::ETreeType type, Double_t &stddev, Double_t &stddev90Percent) const
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const std::vector< Float_t > & GetRegressionValues (const TMVA::Event *const ev)
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Double_t GetRMS (Int_t ivar) const
  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 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 GetSeparation (PDF *pdfS=0, PDF *pdfB=0) const
 compute "separation" defined as More...
 
virtual Double_t GetSeparation (TH1 *, TH1 *) const
 compute "separation" defined as More...
 
Double_t GetSignalReferenceCut () const
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Double_t GetSignalReferenceCutOrientation () const
  More...
 
virtual Double_t GetSignificance () const
 compute significance of mean difference More...
 
const EventGetTestingEvent (Long64_t ievt) const
  More...
 
Double_t GetTestTime () const
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const TStringGetTestvarName () const
  More...
 
virtual Double_t GetTrainingEfficiency (const TString &)
  More...
 
const EventGetTrainingEvent (Long64_t ievt) const
  More...
 
virtual const std::vector< Float_t > & GetTrainingHistory (const char *)
  More...
 
UInt_t GetTrainingROOTVersionCode () const
  More...
 
TString GetTrainingROOTVersionString () const
 calculates the ROOT version string from the training version code on the fly More...
 
UInt_t GetTrainingTMVAVersionCode () const
  More...
 
TString GetTrainingTMVAVersionString () const
 calculates the TMVA version string from the training version code on the fly More...
 
Double_t GetTrainTime () const
  More...
 
TransformationHandlerGetTransformationHandler (Bool_t takeReroutedIfAvailable=true)
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const TransformationHandlerGetTransformationHandler (Bool_t takeReroutedIfAvailable=true) const
  More...
 
TString GetWeightFileName () const
 retrieve weight file name More...
 
Double_t GetXmax (Int_t ivar) const
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Double_t GetXmin (Int_t ivar) const
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Bool_t HasMVAPdfs () const
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void InitIPythonInteractive ()
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Bool_t IsModelPersistence () const
  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 be selected as signal or background More...
 
Bool_t IsSilentFile () const
  More...
 
virtual void MakeClass (const TString &classFileName=TString("")) const
 create reader class for method (classification only at present) More...
 
TDirectoryMethodBaseDir () const
 returns the ROOT directory where all instances of the corresponding MVA method are stored More...
 
virtual std::map< TString, Double_tOptimizeTuningParameters (TString fomType="ROCIntegral", TString fitType="FitGA")
 call the Optimizer with the set of parameters and ranges that are meant to be tuned. More...
 
void PrintHelpMessage () const
 prints out method-specific help method 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 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...
 
void RerouteTransformationHandler (TransformationHandler *fTargetTransformation)
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virtual void Reset ()
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virtual void SetAnalysisType (Types::EAnalysisType type)
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void SetBaseDir (TDirectory *methodDir)
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void SetFile (TFile *file)
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void SetMethodBaseDir (TDirectory *methodDir)
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void SetMethodDir (TDirectory *methodDir)
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void SetModelPersistence (Bool_t status)
  More...
 
void SetSignalReferenceCut (Double_t cut)
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void SetSignalReferenceCutOrientation (Double_t cutOrientation)
  More...
 
void SetSilentFile (Bool_t status)
  More...
 
void SetTestTime (Double_t testTime)
  More...
 
void SetTestvarName (const TString &v="")
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void SetTrainTime (Double_t trainTime)
  More...
 
virtual void SetTuneParameters (std::map< TString, Double_t > tuneParameters)
 set the tuning parameters according to the argument This is just a dummy . More...
 
void SetupMethod ()
 setup of methods More...
 
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...
 
bool TrainingEnded ()
  More...
 
void TrainMethod ()
  More...
 
virtual void WriteEvaluationHistosToFile (Types::ETreeType treetype)
 writes all MVA evaluation histograms to file More...
 
virtual void WriteMonitoringHistosToFile () const
 write special monitoring histograms to file dummy implementation here --------------— 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...
 
- Public Member Functions inherited from TMVA::IMethod
 IMethod ()
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virtual ~IMethod ()
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- Public Member Functions inherited from TMVA::Configurable
 Configurable (const TString &theOption="")
 constructor More...
 
virtual ~Configurable ()
 default destructor More...
 
void AddOptionsXMLTo (void *parent) const
 write options to XML file More...
 
template<class T >
void AddPreDefVal (const T &)
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template<class T >
void AddPreDefVal (const TString &optname, const T &)
  More...
 
void CheckForUnusedOptions () const
 checks for unused options in option string More...
 
template<class T >
TMVA::OptionBaseDeclareOptionRef (T &ref, const TString &name, const TString &desc)
  More...
 
template<class T >
OptionBaseDeclareOptionRef (T &ref, const TString &name, const TString &desc="")
  More...
 
template<class T >
TMVA::OptionBaseDeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc)
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template<class T >
OptionBaseDeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc="")
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const char * GetConfigDescription () const
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const char * GetConfigName () const
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const TStringGetOptions () const
  More...
 
MsgLoggerLog () const
  More...
 
virtual void ParseOptions ()
 options parser More...
 
void PrintOptions () const
 prints out the options set in the options string and the defaults More...
 
void ReadOptionsFromStream (std::istream &istr)
 read option back from the weight file More...
 
void ReadOptionsFromXML (void *node)
  More...
 
void SetConfigDescription (const char *d)
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void SetConfigName (const char *n)
  More...
 
void SetMsgType (EMsgType t)
  More...
 
void SetOptions (const TString &s)
  More...
 
void WriteOptionsToStream (std::ostream &o, const TString &prefix) const
 write options to output stream (e.g. in writing the MVA weight files More...
 
- Public Member Functions inherited from TNamed
 TNamed ()
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 TNamed (const char *name, const char *title)
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 TNamed (const TNamed &named)
 TNamed copy ctor. More...
 
 TNamed (const TString &name, const TString &title)
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virtual ~TNamed ()
 TNamed destructor. More...
 
virtual void Clear (Option_t *option="")
 Set name and title to empty strings (""). More...
 
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility. More...
 
virtual Int_t Compare (const TObject *obj) const
 Compare two TNamed objects. More...
 
virtual void Copy (TObject &named) const
 Copy this to obj. More...
 
virtual void FillBuffer (char *&buffer)
 Encode TNamed into output buffer. More...
 
virtual const char * GetTitle () const
 Returns title of object. More...
 
virtual ULong_t Hash () const
 Return hash value for this object. More...
 
virtual Bool_t IsSortable () const
  More...
 
virtual void ls (Option_t *option="") const
 List TNamed name and title. More...
 
TNamedoperator= (const TNamed &rhs)
 TNamed assignment operator. More...
 
virtual void Print (Option_t *option="") const
 Print TNamed name and title. More...
 
virtual void SetName (const char *name)
 Set the name of the TNamed. More...
 
virtual void SetNameTitle (const char *name, const char *title)
 Set all the TNamed parameters (name and title). More...
 
virtual void SetTitle (const char *title="")
 Set the title of the TNamed. More...
 
virtual Int_t Sizeof () const
 Return size of the TNamed part of the TObject. More...
 
- Public Member Functions inherited from TObject
 TObject ()
 TObject constructor. More...
 
 TObject (const TObject &object)
 TObject copy ctor. More...
 
virtual ~TObject ()
 TObject destructor. 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...
 
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...
 
ULong_t CheckedHash ()
 Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object. More...
 
virtual const char * ClassName () const
 Returns name of class to which the object belongs. 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 TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad). More...
 
virtual void Dump () const
 Dump contents of object on stdout. More...
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message. 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 void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message. More...
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes. More...
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes. More...
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object. More...
 
virtual const char * GetIconName () const
 Returns mime type name of object. More...
 
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py). More...
 
virtual Option_tGetOption () const
  More...
 
virtual UInt_t GetUniqueID () const
 Return the unique object id. More...
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out. More...
 
Bool_t HasInconsistentHash () const
 Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e. More...
 
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message. 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...
 
void InvertBit (UInt_t f)
  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 IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). More...
 
R__ALWAYS_INLINE Bool_t IsOnHeap () const
  More...
 
R__ALWAYS_INLINE Bool_t IsZombie () const
  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...
 
virtual Bool_t Notify ()
 This method must be overridden to handle object notification. More...
 
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete. More...
 
void operator delete (void *ptr)
 Operator delete. More...
 
void operator delete[] (void *ptr)
 Operator delete []. More...
 
voidoperator new (size_t sz)
  More...
 
voidoperator new (size_t sz, void *vp)
  More...
 
voidoperator new[] (size_t sz)
  More...
 
voidoperator new[] (size_t sz, void *vp)
  More...
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator. 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 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...
 
void ResetBit (UInt_t f)
  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...
 
void SetBit (UInt_t f)
  More...
 
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f. 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 SysError (const char *method, const char *msgfmt,...) const
 Issue system error message. More...
 
R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const
  More...
 
Int_t TestBits (UInt_t f) const
  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 void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message. 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...
 

Private Member Functions

UInt_t GetNumValidationSamples ()
 Validation of the ValidationSize option. More...
 
void SetupPyTorchModel (Bool_t loadTrainedModel)
  More...
 

Private Attributes

UInt_t fBatchSize {0}
  More...
 
Bool_t fContinueTraining
  More...
 
TString fFilenameModel
  More...
 
TString fFilenameTrainedModel
  More...
 
TString fLearningRateSchedule
  More...
 
bool fModelIsSetup = false
  More...
 
UInt_t fNOutputs {0}
  More...
 
UInt_t fNumEpochs {0}
  More...
 
Int_t fNumThreads {0}
  More...
 
TString fNumValidationString
  More...
 
UInt_t fNVars {0}
  More...
 
std::vector< float > fOutput
  More...
 
Bool_t fSaveBestOnly
  More...
 
TString fUserCodeName
  More...
 
float * fVals = nullptr
  More...
 

Additional Inherited Members

- Public Types inherited from TMVA::MethodBase
enum  EWeightFileType { kROOT =0 , kTEXT }
 
- Public Types inherited from TObject
enum  {
  kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 ,
  kBitMask = 0x00ffffff
}
 
enum  { kSingleKey = BIT(0) , kOverwrite = BIT(1) , kWriteDelete = BIT(2) }
 
enum  EDeprecatedStatusBits { kObjInCanvas = BIT(3) }
 
enum  EStatusBits {
  kCanDelete = BIT(0) , kMustCleanup = BIT(3) , kIsReferenced = BIT(4) , kHasUUID = BIT(5) ,
  kCannotPick = BIT(6) , kNoContextMenu = BIT(8) , kInvalidObject = BIT(13)
}
 
- Static Public Member Functions inherited from TMVA::PyMethodBase
static TString Py_GetProgramName ()
 Get program name from Python interpreter. More...
 
static void PyFinalize ()
  More...
 
static void PyInitialize ()
 Initialize Python interpreter. More...
 
static int PyIsInitialized ()
 Check Python interpreter initialization status. More...
 
static void PySetProgramName (TString name)
 Set program name for Python interpeter. More...
 
static void Serialize (TString file, PyObject *classifier)
 Serialize Python object. More...
 
static Int_t UnSerialize (TString file, PyObject **obj)
 Unserialize Python object. More...
 
- Static Public Member Functions inherited from TObject
static Longptr_t GetDtorOnly ()
 Return destructor only flag. More...
 
static Bool_t GetObjectStat ()
 Get status of object stat flag. More...
 
static void SetDtorOnly (void *obj)
 Set destructor only flag. More...
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable. More...
 
- Public Attributes inherited from TMVA::MethodBase
Bool_t fSetupCompleted
  More...
 
TrainingHistory fTrainHistory
  More...
 
- Protected Types inherited from TObject
enum  { kOnlyPrepStep = BIT(3) }
 
- Protected Member Functions inherited from TMVA::PyMethodBase
void PyRunString (TString code, TString errorMessage="Failed to run python code", int start=Py_single_input)
 Execute Python code from string. More...
 
- Protected Member Functions inherited from TMVA::MethodBase
virtual std::vector< Double_tGetDataMvaValues (DataSet *data=nullptr, Long64_t firstEvt=0, Long64_t lastEvt=-1, Bool_t logProgress=false)
 get all the MVA values for the events of the given Data type More...
 
const TStringGetInternalVarName (Int_t ivar) const
  More...
 
const TStringGetOriginalVarName (Int_t ivar) const
  More...
 
const TStringGetWeightFileDir () const
  More...
 
Bool_t HasTrainingTree () const
  More...
 
Bool_t Help () const
  More...
 
Bool_t IgnoreEventsWithNegWeightsInTraining () const
  More...
 
Bool_t IsConstructedFromWeightFile () const
  More...
 
Bool_t IsNormalised () const
  More...
 
virtual void MakeClassSpecific (std::ostream &, const TString &="") const
  More...
 
virtual void MakeClassSpecificHeader (std::ostream &, const TString &="") const
  More...
 
void NoErrorCalc (Double_t *const err, Double_t *const errUpper)
  More...
 
void SetNormalised (Bool_t norm)
  More...
 
void SetWeightFileDir (TString fileDir)
 set directory of weight file More...
 
void SetWeightFileName (TString)
 set the weight file name (depreciated) More...
 
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
  More...
 
Bool_t Verbose () const
  More...
 
- Protected Member Functions inherited from TMVA::Configurable
void EnableLooseOptions (Bool_t b=kTRUE)
  More...
 
const TStringGetReferenceFile () const
  More...
 
Bool_t LooseOptionCheckingEnabled () const
  More...
 
void ResetSetFlag ()
 resets the IsSet flag for all declare options to be called before options are read from stream More...
 
void WriteOptionsReferenceToFile ()
 write complete options to output stream More...
 
- Protected Member Functions inherited from TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected). More...
 
void MakeZombie ()
  More...
 
- Protected Attributes inherited from TMVA::PyMethodBase
PyObjectfClassifier
  More...
 
PyObjectfLocalNS
  More...
 
PyObjectfModule
  More...
 
PyObjectfPyReturn
  More...
 
- Protected Attributes inherited from TMVA::MethodBase
Types::EAnalysisType fAnalysisType
  More...
 
UInt_t fBackgroundClass
  More...
 
bool fExitFromTraining = false
  More...
 
std::vector< TString > * fInputVars
  More...
 
IPythonInteractivefInteractive = nullptr
 temporary dataset used when evaluating on a different data (used by MethodCategory::GetMvaValues) More...
 
UInt_t fIPyCurrentIter = 0
  More...
 
UInt_t fIPyMaxIter = 0
  More...
 
std::vector< Float_t > * fMulticlassReturnVal
  More...
 
Int_t fNbins
  More...
 
Int_t fNbinsH
  More...
 
Int_t fNbinsMVAoutput
  More...
 
RankingfRanking
  More...
 
std::vector< Float_t > * fRegressionReturnVal
  More...
 
ResultsfResults
  More...
 
UInt_t fSignalClass
  More...
 
DataSetfTmpData = nullptr
 temporary event when testing on a different DataSet than the own one More...
 
const EventfTmpEvent
  More...
 
- Protected Attributes inherited from TMVA::Configurable
MsgLoggerfLogger
  More...
 
- Protected Attributes inherited from TNamed
TString fName
  More...
 
TString fTitle
  More...
 
- Static Protected Attributes inherited from TMVA::PyMethodBase
static PyObjectfGlobalNS = NULL
  More...
 
static PyObjectfMain = NULL
  More...
 
static PyObjectfModulePickle = NULL
  More...
 
static PyObjectfPickleDumps = NULL
  More...
 
static PyObjectfPickleLoads = NULL
  More...
 

#include <TMVA/MethodPyTorch.h>

Inheritance diagram for TMVA::MethodPyTorch:
[legend]

Constructor & Destructor Documentation

◆ MethodPyTorch() [1/2]

MethodPyTorch::MethodPyTorch ( const TString jobName,
const TString methodTitle,
DataSetInfo dsi,
const TString theOption = "" 
)

Definition at line 38 of file MethodPyTorch.cxx.

◆ MethodPyTorch() [2/2]

MethodPyTorch::MethodPyTorch ( DataSetInfo dsi,
const TString theWeightFile 
)

Definition at line 50 of file MethodPyTorch.cxx.

◆ ~MethodPyTorch()

MethodPyTorch::~MethodPyTorch ( )

Definition at line 62 of file MethodPyTorch.cxx.

Member Function Documentation

◆ AddWeightsXMLTo()

virtual void TMVA::MethodPyTorch::AddWeightsXMLTo ( void ) const
inlinevirtual

Implements TMVA::PyMethodBase.

Definition at line 65 of file MethodPyTorch.h.

◆ CreateRanking()

const Ranking* TMVA::MethodPyTorch::CreateRanking ( )
inlinevirtual

Implements TMVA::PyMethodBase.

Definition at line 63 of file MethodPyTorch.h.

◆ DeclareOptions()

void MethodPyTorch::DeclareOptions ( )
virtual

Implements TMVA::PyMethodBase.

Definition at line 74 of file MethodPyTorch.cxx.

◆ GetHelpMessage()

void MethodPyTorch::GetHelpMessage ( ) const
virtual

Implements TMVA::IMethod.

Definition at line 648 of file MethodPyTorch.cxx.

◆ GetMulticlassValues()

std::vector< Float_t > & MethodPyTorch::GetMulticlassValues ( )
virtual

Reimplemented from TMVA::MethodBase.

Definition at line 626 of file MethodPyTorch.cxx.

◆ GetMvaValue()

Double_t MethodPyTorch::GetMvaValue ( Double_t errLower,
Double_t errUpper 
)
virtual

Implements TMVA::PyMethodBase.

Definition at line 507 of file MethodPyTorch.cxx.

◆ GetMvaValues()

std::vector< Double_t > MethodPyTorch::GetMvaValues ( Long64_t  firstEvt,
Long64_t  lastEvt,
Bool_t  logProgress 
)
virtual

get all the MVA values for the events of the current Data type

Implements TMVA::PyMethodBase.

Definition at line 529 of file MethodPyTorch.cxx.

◆ GetNumValidationSamples()

UInt_t TMVA::MethodPyTorch::GetNumValidationSamples ( )
private

Validation of the ValidationSize option.

Allowed formats are 20%, 0.2 and 100 etc.

  • 20% and 0.2 selects 20% of the training set as validation data.
  • 100 selects 100 events as the validation data.
Returns
number of samples in validation set

Definition at line 100 of file MethodPyTorch.cxx.

◆ GetRegressionValues()

std::vector< Float_t > & MethodPyTorch::GetRegressionValues ( )
virtual

Reimplemented from TMVA::MethodBase.

Definition at line 596 of file MethodPyTorch.cxx.

◆ HasAnalysisType()

Bool_t MethodPyTorch::HasAnalysisType ( Types::EAnalysisType  type,
UInt_t  numberClasses,
UInt_t   
)
virtual

Implements TMVA::PyMethodBase.

Definition at line 66 of file MethodPyTorch.cxx.

◆ Init()

void MethodPyTorch::Init ( void  )
virtual

Implements TMVA::PyMethodBase.

Definition at line 275 of file MethodPyTorch.cxx.

◆ ProcessOptions()

void MethodPyTorch::ProcessOptions ( )
virtual

Implements TMVA::PyMethodBase.

Definition at line 152 of file MethodPyTorch.cxx.

◆ ReadModelFromFile()

void MethodPyTorch::ReadModelFromFile ( )
virtual

Implements TMVA::PyMethodBase.

Definition at line 644 of file MethodPyTorch.cxx.

◆ ReadWeightsFromStream() [1/2]

virtual void TMVA::MethodPyTorch::ReadWeightsFromStream ( std::istream &  )
inlinevirtual

Implements TMVA::PyMethodBase.

Definition at line 67 of file MethodPyTorch.h.

◆ ReadWeightsFromStream() [2/2]

virtual void TMVA::MethodPyTorch::ReadWeightsFromStream ( TFile )
inlinevirtual

Reimplemented from TMVA::PyMethodBase.

Definition at line 68 of file MethodPyTorch.h.

◆ ReadWeightsFromXML()

virtual void TMVA::MethodPyTorch::ReadWeightsFromXML ( void )
inlinevirtual

Implements TMVA::PyMethodBase.

Definition at line 66 of file MethodPyTorch.h.

◆ SetupPyTorchModel()

void MethodPyTorch::SetupPyTorchModel ( Bool_t  loadTrainedModel)
private

Definition at line 190 of file MethodPyTorch.cxx.

◆ TestClassification()

void MethodPyTorch::TestClassification ( )
virtual

initialization

Reimplemented from TMVA::MethodBase.

Definition at line 503 of file MethodPyTorch.cxx.

◆ Train()

void MethodPyTorch::Train ( void  )
virtual

Implements TMVA::PyMethodBase.

Definition at line 297 of file MethodPyTorch.cxx.

Member Data Documentation

◆ fBatchSize

UInt_t TMVA::MethodPyTorch::fBatchSize {0}
private

Definition at line 77 of file MethodPyTorch.h.

◆ fContinueTraining

Bool_t TMVA::MethodPyTorch::fContinueTraining
private

Definition at line 81 of file MethodPyTorch.h.

◆ fFilenameModel

TString TMVA::MethodPyTorch::fFilenameModel
private

Definition at line 76 of file MethodPyTorch.h.

◆ fFilenameTrainedModel

TString TMVA::MethodPyTorch::fFilenameTrainedModel
private

Definition at line 94 of file MethodPyTorch.h.

◆ fLearningRateSchedule

TString TMVA::MethodPyTorch::fLearningRateSchedule
private

Definition at line 83 of file MethodPyTorch.h.

◆ fModelIsSetup

bool TMVA::MethodPyTorch::fModelIsSetup = false
private

Definition at line 89 of file MethodPyTorch.h.

◆ fNOutputs

UInt_t TMVA::MethodPyTorch::fNOutputs {0}
private

Definition at line 93 of file MethodPyTorch.h.

◆ fNumEpochs

UInt_t TMVA::MethodPyTorch::fNumEpochs {0}
private

Definition at line 78 of file MethodPyTorch.h.

◆ fNumThreads

Int_t TMVA::MethodPyTorch::fNumThreads {0}
private

Definition at line 79 of file MethodPyTorch.h.

◆ fNumValidationString

TString TMVA::MethodPyTorch::fNumValidationString
private

Definition at line 85 of file MethodPyTorch.h.

◆ fNVars

UInt_t TMVA::MethodPyTorch::fNVars {0}
private

Definition at line 92 of file MethodPyTorch.h.

◆ fOutput

std::vector<float> TMVA::MethodPyTorch::fOutput
private

Definition at line 91 of file MethodPyTorch.h.

◆ fSaveBestOnly

Bool_t TMVA::MethodPyTorch::fSaveBestOnly
private

Definition at line 82 of file MethodPyTorch.h.

◆ fUserCodeName

TString TMVA::MethodPyTorch::fUserCodeName
private

Definition at line 87 of file MethodPyTorch.h.

◆ fVals

float* TMVA::MethodPyTorch::fVals = nullptr
private

Definition at line 90 of file MethodPyTorch.h.

Libraries for TMVA::MethodPyTorch:
[legend]

The documentation for this class was generated from the following files: