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TMVA::TNeuron Class Reference

Neuron class used by TMVA artificial neural network methods.

Definition at line 49 of file TNeuron.h.

Public Member Functions

 TNeuron ()
 standard constructor
 
virtual ~TNeuron ()
 destructor
 
void AddPostLink (TSynapse *post)
 add synapse as a post-link to this neuron
 
void AddPreLink (TSynapse *pre)
 add synapse as a pre-link to this neuron
 
void AdjustSynapseWeights ()
 adjust the pre-synapses' weights for each neuron (input neuron has no pre-synapse) this method should only be called in batch mode
 
void CalculateActivationValue ()
 calculate neuron activation/output
 
void CalculateDelta ()
 calculate error field
 
void CalculateValue ()
 calculate neuron input
 
void DeletePreLinks ()
 delete all pre-links
 
void ForceValue (Double_t value)
 force the value, typically for input and bias neurons
 
Double_t GetActivationValue () const
 
Double_t GetDEDw () const
 
Double_t GetDelta () const
 
Double_t GetValue () const
 
void InitSynapseDeltas ()
 initialize the error fields of all pre-neurons this method should only be called in batch mode
 
Bool_t IsInputNeuron () const
 
Bool_t IsOutputNeuron () const
 
Int_t NumPostLinks () const
 
Int_t NumPreLinks () const
 
TSynapsePostLinkAt (Int_t index) const
 
TSynapsePreLinkAt (Int_t index) const
 
virtual void Print (Option_t *="") const
 This method must be overridden when a class wants to print itself.
 
void PrintActivationEqn ()
 print activation equation, for debugging
 
void PrintPostLinks () const
 
void PrintPreLinks () const
 
void SetActivationEqn (TActivation *activation)
 set activation equation
 
void SetBiasNeuron ()
 
void SetDEDw (Double_t DEDw)
 
void SetError (Double_t error)
 set error, this should only be done for an output neuron
 
void SetInputCalculator (TNeuronInput *calculator)
 set input calculator
 
void SetInputNeuron ()
 
void SetOutputNeuron ()
 
void UpdateSynapsesBatch ()
 update and adjust the pre-synapses for each neuron (input neuron has no pre-synapse) this method should only be called in batch mode
 
void UpdateSynapsesSequential ()
 update the pre-synapses for each neuron (input neuron has no pre-synapse) this method should only be called in sequential mode
 
- 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)
 
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 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 DeleteLinksArray (TObjArray *&links)
 delete an array of TSynapses
 
void InitNeuron ()
 initialize the neuron, most variables still need to be set via setters
 
MsgLoggerLog () const
 
void NullifyLinks (TObjArray *&links)
 
Int_t NumLinks (TObjArray *links) const
 
void PrintLinks (TObjArray *links) const
 print an array of TSynapses, for debugging
 
void PrintMessage (EMsgType, TString message)
 print message, for debugging
 

Private Attributes

TActivationfActivation
 
Double_t fActivationValue
 
Double_t fDEDw
 
Double_t fDelta
 
Double_t fError
 
Bool_t fForcedValue
 
TNeuronInputfInputCalculator
 
TObjArrayfLinksIn
 
TObjArrayfLinksOut
 
Double_t fValue
 

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 Long_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 TObject
virtual void DoError (int level, const char *location, const char *fmt, va_list va) const
 Interface to ErrorHandler (protected).
 
void MakeZombie ()
 

#include <TMVA/TNeuron.h>

Inheritance diagram for TMVA::TNeuron:
[legend]

Constructor & Destructor Documentation

◆ TNeuron()

TMVA::TNeuron::TNeuron ( )

standard constructor

Definition at line 50 of file TNeuron.cxx.

◆ ~TNeuron()

TMVA::TNeuron::~TNeuron ( )
virtual

destructor

Definition at line 58 of file TNeuron.cxx.

Member Function Documentation

◆ AddPostLink()

void TMVA::TNeuron::AddPostLink ( TSynapse post)

add synapse as a post-link to this neuron

Definition at line 178 of file TNeuron.cxx.

◆ AddPreLink()

void TMVA::TNeuron::AddPreLink ( TSynapse pre)

add synapse as a pre-link to this neuron

Definition at line 169 of file TNeuron.cxx.

◆ AdjustSynapseWeights()

void TMVA::TNeuron::AdjustSynapseWeights ( )

adjust the pre-synapses' weights for each neuron (input neuron has no pre-synapse) this method should only be called in batch mode

Definition at line 263 of file TNeuron.cxx.

◆ CalculateActivationValue()

void TMVA::TNeuron::CalculateActivationValue ( )

calculate neuron activation/output

Definition at line 102 of file TNeuron.cxx.

◆ CalculateDelta()

void TMVA::TNeuron::CalculateDelta ( )

calculate error field

Definition at line 115 of file TNeuron.cxx.

◆ CalculateValue()

void TMVA::TNeuron::CalculateValue ( )

calculate neuron input

Definition at line 93 of file TNeuron.cxx.

◆ DeleteLinksArray()

void TMVA::TNeuron::DeleteLinksArray ( TObjArray *&  links)
private

delete an array of TSynapses

Definition at line 195 of file TNeuron.cxx.

◆ DeletePreLinks()

void TMVA::TNeuron::DeletePreLinks ( )

delete all pre-links

Definition at line 187 of file TNeuron.cxx.

◆ ForceValue()

void TMVA::TNeuron::ForceValue ( Double_t  value)

force the value, typically for input and bias neurons

Definition at line 84 of file TNeuron.cxx.

◆ GetActivationValue()

Double_t TMVA::TNeuron::GetActivationValue ( ) const
inline

Definition at line 105 of file TNeuron.h.

◆ GetDEDw()

Double_t TMVA::TNeuron::GetDEDw ( ) const
inline

Definition at line 107 of file TNeuron.h.

◆ GetDelta()

Double_t TMVA::TNeuron::GetDelta ( ) const
inline

Definition at line 106 of file TNeuron.h.

◆ GetValue()

Double_t TMVA::TNeuron::GetValue ( ) const
inline

Definition at line 104 of file TNeuron.h.

◆ InitNeuron()

void TMVA::TNeuron::InitNeuron ( )
private

initialize the neuron, most variables still need to be set via setters

Definition at line 67 of file TNeuron.cxx.

◆ InitSynapseDeltas()

void TMVA::TNeuron::InitSynapseDeltas ( )

initialize the error fields of all pre-neurons this method should only be called in batch mode

Definition at line 283 of file TNeuron.cxx.

◆ IsInputNeuron()

Bool_t TMVA::TNeuron::IsInputNeuron ( ) const
inline

Definition at line 116 of file TNeuron.h.

◆ IsOutputNeuron()

Bool_t TMVA::TNeuron::IsOutputNeuron ( ) const
inline

Definition at line 117 of file TNeuron.h.

◆ Log()

TMVA::MsgLogger & TMVA::TNeuron::Log ( ) const
private

Definition at line 343 of file TNeuron.cxx.

◆ NullifyLinks()

void TMVA::TNeuron::NullifyLinks ( TObjArray *&  links)
inlineprivate

Definition at line 139 of file TNeuron.h.

◆ NumLinks()

Int_t TMVA::TNeuron::NumLinks ( TObjArray links) const
inlineprivate

Definition at line 135 of file TNeuron.h.

◆ NumPostLinks()

Int_t TMVA::TNeuron::NumPostLinks ( ) const
inline

Definition at line 109 of file TNeuron.h.

◆ NumPreLinks()

Int_t TMVA::TNeuron::NumPreLinks ( ) const
inline

Definition at line 108 of file TNeuron.h.

◆ PostLinkAt()

TSynapse * TMVA::TNeuron::PostLinkAt ( Int_t  index) const
inline

Definition at line 111 of file TNeuron.h.

◆ PreLinkAt()

TSynapse * TMVA::TNeuron::PreLinkAt ( Int_t  index) const
inline

Definition at line 110 of file TNeuron.h.

◆ Print()

virtual void TMVA::TNeuron::Print ( Option_t option = "") const
inlinevirtual

This method must be overridden when a class wants to print itself.

Reimplemented from TObject.

Definition at line 121 of file TNeuron.h.

◆ PrintActivationEqn()

void TMVA::TNeuron::PrintActivationEqn ( )

print activation equation, for debugging

Definition at line 327 of file TNeuron.cxx.

◆ PrintLinks()

void TMVA::TNeuron::PrintLinks ( TObjArray links) const
private

print an array of TSynapses, for debugging

Definition at line 303 of file TNeuron.cxx.

◆ PrintMessage()

void TMVA::TNeuron::PrintMessage ( EMsgType  type,
TString  message 
)
private

print message, for debugging

Definition at line 336 of file TNeuron.cxx.

◆ PrintPostLinks()

void TMVA::TNeuron::PrintPostLinks ( ) const
inline

Definition at line 119 of file TNeuron.h.

◆ PrintPreLinks()

void TMVA::TNeuron::PrintPreLinks ( ) const
inline

Definition at line 118 of file TNeuron.h.

◆ SetActivationEqn()

void TMVA::TNeuron::SetActivationEqn ( TActivation activation)

set activation equation

Definition at line 160 of file TNeuron.cxx.

◆ SetBiasNeuron()

void TMVA::TNeuron::SetBiasNeuron ( )
inline

Definition at line 114 of file TNeuron.h.

◆ SetDEDw()

void TMVA::TNeuron::SetDEDw ( Double_t  DEDw)
inline

Definition at line 115 of file TNeuron.h.

◆ SetError()

void TMVA::TNeuron::SetError ( Double_t  error)

set error, this should only be done for an output neuron

Definition at line 212 of file TNeuron.cxx.

◆ SetInputCalculator()

void TMVA::TNeuron::SetInputCalculator ( TNeuronInput calculator)

set input calculator

Definition at line 151 of file TNeuron.cxx.

◆ SetInputNeuron()

void TMVA::TNeuron::SetInputNeuron ( )
inline

Definition at line 112 of file TNeuron.h.

◆ SetOutputNeuron()

void TMVA::TNeuron::SetOutputNeuron ( )
inline

Definition at line 113 of file TNeuron.h.

◆ UpdateSynapsesBatch()

void TMVA::TNeuron::UpdateSynapsesBatch ( )

update and adjust the pre-synapses for each neuron (input neuron has no pre-synapse) this method should only be called in batch mode

Definition at line 224 of file TNeuron.cxx.

◆ UpdateSynapsesSequential()

void TMVA::TNeuron::UpdateSynapsesSequential ( )

update the pre-synapses for each neuron (input neuron has no pre-synapse) this method should only be called in sequential mode

Definition at line 242 of file TNeuron.cxx.

Member Data Documentation

◆ fActivation

TActivation* TMVA::TNeuron::fActivation
private

Definition at line 152 of file TNeuron.h.

◆ fActivationValue

Double_t TMVA::TNeuron::fActivationValue
private

Definition at line 147 of file TNeuron.h.

◆ fDEDw

Double_t TMVA::TNeuron::fDEDw
private

Definition at line 149 of file TNeuron.h.

◆ fDelta

Double_t TMVA::TNeuron::fDelta
private

Definition at line 148 of file TNeuron.h.

◆ fError

Double_t TMVA::TNeuron::fError
private

Definition at line 150 of file TNeuron.h.

◆ fForcedValue

Bool_t TMVA::TNeuron::fForcedValue
private

Definition at line 151 of file TNeuron.h.

◆ fInputCalculator

TNeuronInput* TMVA::TNeuron::fInputCalculator
private

Definition at line 153 of file TNeuron.h.

◆ fLinksIn

TObjArray* TMVA::TNeuron::fLinksIn
private

Definition at line 144 of file TNeuron.h.

◆ fLinksOut

TObjArray* TMVA::TNeuron::fLinksOut
private

Definition at line 145 of file TNeuron.h.

◆ fValue

Double_t TMVA::TNeuron::fValue
private

Definition at line 146 of file TNeuron.h.

Libraries for TMVA::TNeuron:

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