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TMVA::VariableNormalizeTransform Class Reference

Linear interpolation class.

Definition at line 48 of file VariableNormalizeTransform.h.

Public Types

typedef std::vector< Float_tFloatVector
 
typedef std::vector< FloatVectorVectorOfFloatVectors
 
- Public Types inherited from TMVA::VariableTransformBase
typedef VectorOfCharAndInt::iterator ItVarTypeIdx
 
typedef VectorOfCharAndInt::const_iterator ItVarTypeIdxConst
 
typedef std::vector< std::pair< Char_t, UInt_t > > VectorOfCharAndInt
 
- 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)
}
 

Public Member Functions

 VariableNormalizeTransform (DataSetInfo &dsi)
 constructor
 
virtual ~VariableNormalizeTransform (void)
 
virtual void AttachXMLTo (void *parent)
 create XML description of Normalize transformation
 
void BuildTransformationFromVarInfo (const std::vector< TMVA::VariableInfo > &var)
 this method is only used when building a normalization transformation from old text files in this case regression didn't exist and there were no targets
 
std::vector< TString > * GetTransformationStrings (Int_t cls) const
 creates string with variable transformations applied
 
void Initialize ()
 initialization of the normalization transformation
 
virtual const EventInverseTransform (const Event *const, Int_t cls) const
 apply the inverse transformation
 
virtual void MakeFunction (std::ostream &fout, const TString &fncName, Int_t part, UInt_t trCounter, Int_t cls)
 creates a normalizing function TODO include target-transformation into makefunction
 
Bool_t PrepareTransformation (const std::vector< Event * > &)
 prepare transformation
 
virtual void PrintTransformation (std::ostream &o)
 prints the transformation ranges
 
virtual void ReadFromXML (void *trfnode)
 Read the transformation matrices from the xml node.
 
void ReadTransformationFromStream (std::istream &, const TString &)
 Read the variable ranges from an input stream.
 
virtual const EventTransform (const Event *const, Int_t cls) const
 apply the normalization transformation
 
void WriteTransformationToStream (std::ostream &) const
 write the transformation to the stream
 
- Public Member Functions inherited from TMVA::VariableTransformBase
 VariableTransformBase (DataSetInfo &dsi, Types::EVariableTransform tf, const TString &trfName)
 standard constructor
 
virtual ~VariableTransformBase (void)
 
virtual void CountVariableTypes (UInt_t &nvars, UInt_t &ntgts, UInt_t &nspcts) const
 count variables, targets and spectators
 
virtual Bool_t GetInput (const Event *event, std::vector< Float_t > &input, std::vector< Char_t > &mask, Bool_t backTransform=kFALSE) const
 select the values from the event
 
virtual const char * GetName () const
 Returns name of object.
 
TString GetShortName () const
 
Types::EVariableTransform GetVariableTransform () const
 
Bool_t IsCreated () const
 
Bool_t IsEnabled () const
 
Bool_t IsNormalised () const
 
MsgLoggerLog () const
 
virtual void SelectInput (const TString &inputVariables, Bool_t putIntoVariables=kFALSE)
 select the variables/targets/spectators which serve as input to the transformation
 
void SetEnabled (Bool_t e)
 
void SetNormalise (Bool_t n)
 
virtual void SetOutput (Event *event, std::vector< Float_t > &output, std::vector< Char_t > &mask, const Event *oldEvent=0, Bool_t backTransform=kFALSE) const
 select the values from the event
 
void SetOutputDataSetInfo (DataSetInfo *outputDsi)
 
void SetTMVAVersion (TMVAVersion_t v)
 
void SetUseSignalTransform (Bool_t e=kTRUE)
 
const std::vector< TMVA::VariableInfo > & Spectators () const
 
const std::vector< TMVA::VariableInfo > & Targets () const
 
void ToggleInputSortOrder (Bool_t sortOrder)
 
Bool_t UseSignalTransform () const
 
const std::vector< TMVA::VariableInfo > & Variables () const
 
- 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 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.
 

Private Member Functions

void CalcNormalizationParams (const std::vector< Event * > &events)
 compute offset and scale from min and max
 

Private Attributes

VectorOfFloatVectors fMax
 Min of source range.
 
VectorOfFloatVectors fMin
 

Additional Inherited Members

- 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) }
 
- Protected Member Functions inherited from TMVA::VariableTransformBase
void CalcNorm (const std::vector< const Event * > &)
 TODO --> adapt to variable,target,spectator selection method to calculate minimum, maximum, mean, and RMS for all variables used in the MVA.
 
Int_t GetNClasses () const
 
UInt_t GetNSpectators () const
 
UInt_t GetNTargets () const
 
UInt_t GetNVariables () const
 
void SetCreated (Bool_t c=kTRUE)
 
void SetName (const TString &c)
 
void SetNVariables (UInt_t i)
 
std::vector< TMVA::VariableInfo > & Spectators ()
 
std::vector< TMVA::VariableInfo > & Targets ()
 
std::vector< TMVA::VariableInfo > & Variables ()
 
- 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 inherited from TMVA::VariableTransformBase
EventfBackTransformedEvent
 
DataSetInfofDsi
 
DataSetInfofDsiOutput
 
VectorOfCharAndInt fGet
 
MsgLoggerfLogger
 
VectorOfCharAndInt fPut
 
TMVAVersion_t fTMVAVersion
 
EventfTransformedEvent
 

#include <TMVA/VariableNormalizeTransform.h>

Inheritance diagram for TMVA::VariableNormalizeTransform:
[legend]

Member Typedef Documentation

◆ FloatVector

◆ VectorOfFloatVectors

Constructor & Destructor Documentation

◆ VariableNormalizeTransform()

TMVA::VariableNormalizeTransform::VariableNormalizeTransform ( DataSetInfo dsi)

constructor

Definition at line 58 of file VariableNormalizeTransform.cxx.

◆ ~VariableNormalizeTransform()

TMVA::VariableNormalizeTransform::~VariableNormalizeTransform ( void  )
virtual

Definition at line 65 of file VariableNormalizeTransform.cxx.

Member Function Documentation

◆ AttachXMLTo()

void TMVA::VariableNormalizeTransform::AttachXMLTo ( void parent)
virtual

create XML description of Normalize transformation

Implements TMVA::VariableTransformBase.

Definition at line 329 of file VariableNormalizeTransform.cxx.

◆ BuildTransformationFromVarInfo()

void TMVA::VariableNormalizeTransform::BuildTransformationFromVarInfo ( const std::vector< TMVA::VariableInfo > &  var)

this method is only used when building a normalization transformation from old text files in this case regression didn't exist and there were no targets

Definition at line 462 of file VariableNormalizeTransform.cxx.

◆ CalcNormalizationParams()

void TMVA::VariableNormalizeTransform::CalcNormalizationParams ( const std::vector< Event * > &  events)
private

compute offset and scale from min and max

Definition at line 209 of file VariableNormalizeTransform.cxx.

◆ GetTransformationStrings()

std::vector< TString > * TMVA::VariableNormalizeTransform::GetTransformationStrings ( Int_t  cls) const
virtual

creates string with variable transformations applied

Reimplemented from TMVA::VariableTransformBase.

Definition at line 269 of file VariableNormalizeTransform.cxx.

◆ Initialize()

void TMVA::VariableNormalizeTransform::Initialize ( )
virtual

initialization of the normalization transformation

Implements TMVA::VariableTransformBase.

Definition at line 71 of file VariableNormalizeTransform.cxx.

◆ InverseTransform()

const TMVA::Event * TMVA::VariableNormalizeTransform::InverseTransform ( const Event * const  ev,
Int_t  cls 
) const
virtual

apply the inverse transformation

Implements TMVA::VariableTransformBase.

Definition at line 164 of file VariableNormalizeTransform.cxx.

◆ MakeFunction()

void TMVA::VariableNormalizeTransform::MakeFunction ( std::ostream &  fout,
const TString fncName,
Int_t  part,
UInt_t  trCounter,
Int_t  cls 
)
virtual

creates a normalizing function TODO include target-transformation into makefunction

Implements TMVA::VariableTransformBase.

Definition at line 561 of file VariableNormalizeTransform.cxx.

◆ PrepareTransformation()

Bool_t TMVA::VariableNormalizeTransform::PrepareTransformation ( const std::vector< Event * > &  events)
virtual

prepare transformation

Implements TMVA::VariableTransformBase.

Definition at line 90 of file VariableNormalizeTransform.cxx.

◆ PrintTransformation()

void TMVA::VariableNormalizeTransform::PrintTransformation ( std::ostream &  o)
virtual

prints the transformation ranges

Reimplemented from TMVA::VariableTransformBase.

Definition at line 534 of file VariableNormalizeTransform.cxx.

◆ ReadFromXML()

void TMVA::VariableNormalizeTransform::ReadFromXML ( void trfnode)
virtual

Read the transformation matrices from the xml node.

Implements TMVA::VariableTransformBase.

Definition at line 355 of file VariableNormalizeTransform.cxx.

◆ ReadTransformationFromStream()

void TMVA::VariableNormalizeTransform::ReadTransformationFromStream ( std::istream &  istr,
const TString  
)
virtual

Read the variable ranges from an input stream.

Implements TMVA::VariableTransformBase.

Definition at line 491 of file VariableNormalizeTransform.cxx.

◆ Transform()

const TMVA::Event * TMVA::VariableNormalizeTransform::Transform ( const Event * const  ev,
Int_t  cls 
) const
virtual

apply the normalization transformation

Implements TMVA::VariableTransformBase.

Definition at line 108 of file VariableNormalizeTransform.cxx.

◆ WriteTransformationToStream()

void TMVA::VariableNormalizeTransform::WriteTransformationToStream ( std::ostream &  o) const
virtual

write the transformation to the stream

Implements TMVA::VariableTransformBase.

Definition at line 304 of file VariableNormalizeTransform.cxx.

Member Data Documentation

◆ fMax

VectorOfFloatVectors TMVA::VariableNormalizeTransform::fMax
private

Min of source range.

Definition at line 85 of file VariableNormalizeTransform.h.

◆ fMin

VectorOfFloatVectors TMVA::VariableNormalizeTransform::fMin
private

Definition at line 84 of file VariableNormalizeTransform.h.

Libraries for TMVA::VariableNormalizeTransform:

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