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TMVA::DataSetFactory Class Reference

Class that contains all the data information.

Definition at line 116 of file DataSetFactory.h.

Classes

class  EventStats
 

Public Member Functions

 DataSetFactory ()
 constructor
 
 ~DataSetFactory ()
 destructor
 
DataSetCreateDataSet (DataSetInfo &, DataInputHandler &)
 steering the creation of a new dataset
 
- Public Member Functions inherited from TObject
 TObject ()
 TObject constructor.
 
 TObject (const TObject &object)
 TObject copy ctor.
 
virtual ~TObject ()
 TObject destructor.
 
void AbstractMethod (const char *method) const
 Use this method to implement an "abstract" method that you don't want to leave purely abstract.
 
virtual void AppendPad (Option_t *option="")
 Append graphics object to current pad.
 
virtual void Browse (TBrowser *b)
 Browse object. May be overridden for another default action.
 
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.
 
virtual const char * ClassName () const
 Returns name of class to which the object belongs.
 
virtual void Clear (Option_t *="")
 
virtual TObjectClone (const char *newname="") const
 Make a clone of an object using the Streamer facility.
 
virtual Int_t Compare (const TObject *obj) const
 Compare abstract method.
 
virtual void Copy (TObject &object) const
 Copy this to obj.
 
virtual void Delete (Option_t *option="")
 Delete this object.
 
virtual Int_t DistancetoPrimitive (Int_t px, Int_t py)
 Computes distance from point (px,py) to the object.
 
virtual void Draw (Option_t *option="")
 Default Draw method for all objects.
 
virtual void DrawClass () const
 Draw class inheritance tree of the class to which this object belongs.
 
virtual TObjectDrawClone (Option_t *option="") const
 Draw a clone of this object in the current selected pad for instance with: gROOT->SetSelectedPad(gPad).
 
virtual void Dump () const
 Dump contents of object on stdout.
 
virtual void Error (const char *method, const char *msgfmt,...) const
 Issue error message.
 
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.
 
virtual void Execute (TMethod *method, TObjArray *params, Int_t *error=0)
 Execute method on this object with parameters stored in the TObjArray.
 
virtual void ExecuteEvent (Int_t event, Int_t px, Int_t py)
 Execute action corresponding to an event at (px,py).
 
virtual void Fatal (const char *method, const char *msgfmt,...) const
 Issue fatal error message.
 
virtual TObjectFindObject (const char *name) const
 Must be redefined in derived classes.
 
virtual TObjectFindObject (const TObject *obj) const
 Must be redefined in derived classes.
 
virtual Option_tGetDrawOption () const
 Get option used by the graphics system to draw this object.
 
virtual const char * GetIconName () const
 Returns mime type name of object.
 
virtual const char * GetName () const
 Returns name of object.
 
virtual char * GetObjectInfo (Int_t px, Int_t py) const
 Returns string containing info about the object at position (px,py).
 
virtual Option_tGetOption () const
 
virtual const char * GetTitle () const
 Returns title of object.
 
virtual UInt_t GetUniqueID () const
 Return the unique object id.
 
virtual Bool_t HandleTimer (TTimer *timer)
 Execute action in response of a timer timing out.
 
virtual ULong_t Hash () const
 Return hash value for this object.
 
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.
 
virtual void Info (const char *method, const char *msgfmt,...) const
 Issue info message.
 
virtual Bool_t InheritsFrom (const char *classname) const
 Returns kTRUE if object inherits from class "classname".
 
virtual Bool_t InheritsFrom (const TClass *cl) const
 Returns kTRUE if object inherits from TClass cl.
 
virtual void Inspect () const
 Dump contents of this object in a graphics canvas.
 
void InvertBit (UInt_t f)
 
Bool_t IsDestructed () const
 IsDestructed.
 
virtual Bool_t IsEqual (const TObject *obj) const
 Default equal comparison (objects are equal if they have the same address in memory).
 
virtual Bool_t IsFolder () const
 Returns kTRUE in case object contains browsable objects (like containers or lists of other objects).
 
R__ALWAYS_INLINE Bool_t IsOnHeap () const
 
virtual Bool_t IsSortable () const
 
R__ALWAYS_INLINE Bool_t IsZombie () const
 
virtual void ls (Option_t *option="") const
 The ls function lists the contents of a class on stdout.
 
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).
 
virtual Bool_t Notify ()
 This method must be overridden to handle object notification.
 
void Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const
 Use this method to declare a method obsolete.
 
void operator delete (void *ptr)
 Operator delete.
 
void operator delete[] (void *ptr)
 Operator delete [].
 
voidoperator new (size_t sz)
 
voidoperator new (size_t sz, void *vp)
 
voidoperator new[] (size_t sz)
 
voidoperator new[] (size_t sz, void *vp)
 
TObjectoperator= (const TObject &rhs)
 TObject assignment operator.
 
virtual void Paint (Option_t *option="")
 This method must be overridden if a class wants to paint itself.
 
virtual void Pop ()
 Pop on object drawn in a pad to the top of the display list.
 
virtual void Print (Option_t *option="") const
 This method must be overridden when a class wants to print itself.
 
virtual Int_t Read (const char *name)
 Read contents of object with specified name from the current directory.
 
virtual void RecursiveRemove (TObject *obj)
 Recursively remove this object from a list.
 
void ResetBit (UInt_t f)
 
virtual void SaveAs (const char *filename="", Option_t *option="") const
 Save this object in the file specified by filename.
 
virtual void SavePrimitive (std::ostream &out, Option_t *option="")
 Save a primitive as a C++ statement(s) on output stream "out".
 
void SetBit (UInt_t f)
 
void SetBit (UInt_t f, Bool_t set)
 Set or unset the user status bits as specified in f.
 
virtual void SetDrawOption (Option_t *option="")
 Set drawing option for object.
 
virtual void SetUniqueID (UInt_t uid)
 Set the unique object id.
 
virtual void SysError (const char *method, const char *msgfmt,...) const
 Issue system error message.
 
R__ALWAYS_INLINE Bool_t TestBit (UInt_t f) const
 
Int_t TestBits (UInt_t f) const
 
virtual void UseCurrentStyle ()
 Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked.
 
virtual void Warning (const char *method, const char *msgfmt,...) const
 Issue warning message.
 
virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0)
 Write this object to the current directory.
 
virtual Int_t Write (const char *name=0, Int_t option=0, Int_t bufsize=0) const
 Write this object to the current directory.
 

Protected Member Functions

DataSetBuildDynamicDataSet (DataSetInfo &)
 
void BuildEventVector (DataSetInfo &dsi, DataInputHandler &dataInput, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts)
 build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType
 
DataSetBuildInitialDataSet (DataSetInfo &, TMVA::DataInputHandler &)
 if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables)
 
TMatrixDCalcCorrelationMatrix (DataSet *, const UInt_t classNumber)
 computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree)
 
TMatrixDCalcCovarianceMatrix (DataSet *, const UInt_t classNumber)
 compute covariance matrix
 
void CalcMinMax (DataSet *, DataSetInfo &dsi)
 compute covariance matrix
 
void ChangeToNewTree (TreeInfo &, const DataSetInfo &)
 While the data gets copied into the local training and testing trees, the input tree can change (for instance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be re-associated with the new tree, which is done here.
 
Bool_t CheckTTreeFormula (TTreeFormula *ttf, const TString &expression, Bool_t &hasDollar)
 checks a TTreeFormula for problems
 
void InitOptions (DataSetInfo &dsi, EvtStatsPerClass &eventsmap, TString &normMode, UInt_t &splitSeed, TString &splitMode, TString &mixMode)
 the dataset splitting
 
MsgLoggerLog () const
 message logger
 
DataSetMixEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts, const TString &splitMode, const TString &mixMode, const TString &normMode, UInt_t splitSeed)
 Select and distribute unassigned events to kTraining and kTesting.
 
void RenormEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, const EvtStatsPerClass &eventCounts, const TString &normMode)
 renormalisation of the TRAINING event weights
 
void ResetBranchAndEventAddresses (TTree *)
 
void ResetCurrentTree ()
 
Bool_t Verbose ()
 
- 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).
 
void MakeZombie ()
 

Protected Attributes

Bool_t fComputeCorrelations = kFALSE
 
Bool_t fCorrelations = kFALSE
 
UInt_t fCurrentEvtIdx
 
TTreefCurrentTree
 
std::vector< TTreeFormula * > fCutFormulas
 
std::vector< TTreeFormula * > fInputFormulas
 
std::vector< std::pair< TTreeFormula *, Int_t > > fInputTableFormulas
 
MsgLoggerfLogger
 
Bool_t fScaleWithPreselEff
 
std::vector< TTreeFormula * > fSpectatorFormulas
 
std::vector< TTreeFormula * > fTargetFormulas
 input variables expression for arrays
 
Bool_t fVerbose
 
TString fVerboseLevel
 
std::vector< TTreeFormula * > fWeightFormula
 

Private Types

typedef std::vector< Event * > EventVector
 
typedef std::vector< EventVectorEventVectorOfClasses
 
typedef std::map< Types::ETreeType, EventVectorOfClassesEventVectorOfClassesOfTreeType
 
typedef std::map< Types::ETreeType, EventVectorEventVectorOfTreeType
 
typedef std::vector< EventStatsEvtStatsPerClass
 
typedef std::vector< intNumberPerClass
 
typedef std::vector< Double_tValuePerClass
 
typedef std::map< Types::ETreeType, ValuePerClassValuePerClassOfTreeType
 

Additional Inherited Members

- 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 TObject
static Longptr_t GetDtorOnly ()
 Return destructor only flag.
 
static Bool_t GetObjectStat ()
 Get status of object stat flag.
 
static void SetDtorOnly (void *obj)
 Set destructor only flag.
 
static void SetObjectStat (Bool_t stat)
 Turn on/off tracking of objects in the TObjectTable.
 
- Protected Types inherited from TObject
enum  { kOnlyPrepStep = BIT(3) }
 

#include <TMVA/DataSetFactory.h>

Inheritance diagram for TMVA::DataSetFactory:
[legend]

Member Typedef Documentation

◆ EventVector

typedef std::vector<Event* > TMVA::DataSetFactory::EventVector
private

Definition at line 118 of file DataSetFactory.h.

◆ EventVectorOfClasses

Definition at line 119 of file DataSetFactory.h.

◆ EventVectorOfClassesOfTreeType

◆ EventVectorOfTreeType

Definition at line 121 of file DataSetFactory.h.

◆ EvtStatsPerClass

typedef std::vector< EventStats > TMVA::DataSetFactory::EvtStatsPerClass
private

Definition at line 155 of file DataSetFactory.h.

◆ NumberPerClass

typedef std::vector< int > TMVA::DataSetFactory::NumberPerClass
private

Definition at line 154 of file DataSetFactory.h.

◆ ValuePerClass

typedef std::vector< Double_t > TMVA::DataSetFactory::ValuePerClass
private

Definition at line 123 of file DataSetFactory.h.

◆ ValuePerClassOfTreeType

Definition at line 124 of file DataSetFactory.h.

Constructor & Destructor Documentation

◆ ~DataSetFactory()

TMVA::DataSetFactory::~DataSetFactory ( )

destructor

Definition at line 107 of file DataSetFactory.cxx.

◆ DataSetFactory()

TMVA::DataSetFactory::DataSetFactory ( )

constructor

Definition at line 93 of file DataSetFactory.cxx.

Member Function Documentation

◆ BuildDynamicDataSet()

TMVA::DataSet * TMVA::DataSetFactory::BuildDynamicDataSet ( TMVA::DataSetInfo dsi)
protected

Definition at line 149 of file DataSetFactory.cxx.

◆ BuildEventVector()

void TMVA::DataSetFactory::BuildEventVector ( TMVA::DataSetInfo dsi,
TMVA::DataInputHandler dataInput,
EventVectorOfClassesOfTreeType eventsmap,
EvtStatsPerClass eventCounts 
)
protected

build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType

Definition at line 728 of file DataSetFactory.cxx.

◆ BuildInitialDataSet()

TMVA::DataSet * TMVA::DataSetFactory::BuildInitialDataSet ( DataSetInfo dsi,
TMVA::DataInputHandler dataInput 
)
protected

if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables)

Definition at line 202 of file DataSetFactory.cxx.

◆ CalcCorrelationMatrix()

TMatrixD * TMVA::DataSetFactory::CalcCorrelationMatrix ( DataSet ds,
const UInt_t  classNumber 
)
protected

computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree)

Definition at line 548 of file DataSetFactory.cxx.

◆ CalcCovarianceMatrix()

TMatrixD * TMVA::DataSetFactory::CalcCovarianceMatrix ( DataSet ds,
const UInt_t  classNumber 
)
protected

compute covariance matrix

Definition at line 579 of file DataSetFactory.cxx.

◆ CalcMinMax()

void TMVA::DataSetFactory::CalcMinMax ( DataSet ds,
TMVA::DataSetInfo dsi 
)
protected

compute covariance matrix

Definition at line 479 of file DataSetFactory.cxx.

◆ ChangeToNewTree()

void TMVA::DataSetFactory::ChangeToNewTree ( TreeInfo tinfo,
const DataSetInfo dsi 
)
protected

While the data gets copied into the local training and testing trees, the input tree can change (for instance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be re-associated with the new tree, which is done here.

Definition at line 293 of file DataSetFactory.cxx.

◆ CheckTTreeFormula()

Bool_t TMVA::DataSetFactory::CheckTTreeFormula ( TTreeFormula ttf,
const TString expression,
Bool_t hasDollar 
)
protected

checks a TTreeFormula for problems

Definition at line 251 of file DataSetFactory.cxx.

◆ CreateDataSet()

TMVA::DataSet * TMVA::DataSetFactory::CreateDataSet ( TMVA::DataSetInfo dsi,
TMVA::DataInputHandler dataInput 
)

steering the creation of a new dataset

Definition at line 123 of file DataSetFactory.cxx.

◆ InitOptions()

void TMVA::DataSetFactory::InitOptions ( TMVA::DataSetInfo dsi,
EvtStatsPerClass eventsmap,
TString normMode,
UInt_t splitSeed,
TString splitMode,
TString mixMode 
)
protected

the dataset splitting

Definition at line 638 of file DataSetFactory.cxx.

◆ Log()

MsgLogger & TMVA::DataSetFactory::Log ( ) const
inlineprotected

message logger

Definition at line 236 of file DataSetFactory.h.

◆ MixEvents()

TMVA::DataSet * TMVA::DataSetFactory::MixEvents ( DataSetInfo dsi,
EventVectorOfClassesOfTreeType eventsmap,
EvtStatsPerClass eventCounts,
const TString splitMode,
const TString mixMode,
const TString normMode,
UInt_t  splitSeed 
)
protected

Select and distribute unassigned events to kTraining and kTesting.

Definition at line 1063 of file DataSetFactory.cxx.

◆ RenormEvents()

void TMVA::DataSetFactory::RenormEvents ( TMVA::DataSetInfo dsi,
EventVectorOfClassesOfTreeType tmpEventVector,
const EvtStatsPerClass eventCounts,
const TString normMode 
)
protected

renormalisation of the TRAINING event weights

  • none (kind of obvious) .. use the weights as supplied by the user.. (we store however the relative weight for later use)
  • numEvents
  • equalNumEvents reweight the training events such that the sum of all backgr. (class > 0) weights equal that of the signal (class 0)

Definition at line 1490 of file DataSetFactory.cxx.

◆ ResetBranchAndEventAddresses()

void TMVA::DataSetFactory::ResetBranchAndEventAddresses ( TTree )
protected

◆ ResetCurrentTree()

void TMVA::DataSetFactory::ResetCurrentTree ( )
inlineprotected

Definition at line 204 of file DataSetFactory.h.

◆ Verbose()

Bool_t TMVA::DataSetFactory::Verbose ( )
inlineprotected

Definition at line 209 of file DataSetFactory.h.

Member Data Documentation

◆ fComputeCorrelations

Bool_t TMVA::DataSetFactory::fComputeCorrelations = kFALSE
protected

Definition at line 219 of file DataSetFactory.h.

◆ fCorrelations

Bool_t TMVA::DataSetFactory::fCorrelations = kFALSE
protected

Definition at line 218 of file DataSetFactory.h.

◆ fCurrentEvtIdx

UInt_t TMVA::DataSetFactory::fCurrentEvtIdx
protected

Definition at line 225 of file DataSetFactory.h.

◆ fCurrentTree

TTree* TMVA::DataSetFactory::fCurrentTree
protected

Definition at line 224 of file DataSetFactory.h.

◆ fCutFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fCutFormulas
protected

Definition at line 231 of file DataSetFactory.h.

◆ fInputFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fInputFormulas
protected

Definition at line 228 of file DataSetFactory.h.

◆ fInputTableFormulas

std::vector<std::pair<TTreeFormula*, Int_t> > TMVA::DataSetFactory::fInputTableFormulas
protected

Definition at line 229 of file DataSetFactory.h.

◆ fLogger

MsgLogger* TMVA::DataSetFactory::fLogger
protected

Definition at line 235 of file DataSetFactory.h.

◆ fScaleWithPreselEff

Bool_t TMVA::DataSetFactory::fScaleWithPreselEff
protected

Definition at line 221 of file DataSetFactory.h.

◆ fSpectatorFormulas

std::vector<TTreeFormula*> TMVA::DataSetFactory::fSpectatorFormulas
protected

Definition at line 233 of file DataSetFactory.h.

◆ fTargetFormulas

std::vector<TTreeFormula *> TMVA::DataSetFactory::fTargetFormulas
protected

input variables expression for arrays

Definition at line 230 of file DataSetFactory.h.

◆ fVerbose

Bool_t TMVA::DataSetFactory::fVerbose
protected

Definition at line 214 of file DataSetFactory.h.

◆ fVerboseLevel

TString TMVA::DataSetFactory::fVerboseLevel
protected

Definition at line 215 of file DataSetFactory.h.

◆ fWeightFormula

std::vector<TTreeFormula*> TMVA::DataSetFactory::fWeightFormula
protected

Definition at line 232 of file DataSetFactory.h.

Libraries for TMVA::DataSetFactory:

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