ROOT 6.08/07 Reference Guide |
Public Types | |
enum | ENeuronType { kOff, kLinear, kSigmoid, kTanh, kGauss, kSoftmax, kExternal } |
Public Types inherited from TObject | |
enum | { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff } |
enum | { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) } |
enum | EStatusBits { kCanDelete = BIT(0), kMustCleanup = BIT(3), kObjInCanvas = BIT(3), kIsReferenced = BIT(4), kHasUUID = BIT(5), kCannotPick = BIT(6), kNoContextMenu = BIT(8), kInvalidObject = BIT(13) } |
Public Member Functions | |
TNeuron (ENeuronType type=kSigmoid, const char *name="", const char *title="", const char *extF="", const char *extD="") | |
Usual constructor. More... | |
virtual | ~TNeuron () |
void | AddInLayer (TNeuron *) |
Tells a neuron which neurons form its layer (including itself). More... | |
void | ForceExternalValue (Double_t value) |
Uses the branch type to force an external value. More... | |
Double_t | GetBranch () const |
Returns the formula value. More... | |
Double_t | GetDeDw () const |
Computes the derivative of the error wrt the neuron weight. More... | |
Double_t | GetDEDw () const |
Double_t | GetDerivative () const |
computes the derivative for the appropriate function at the working point More... | |
Double_t | GetError () const |
Computes the error for output neurons. More... | |
TNeuron * | GetInLayer (Int_t n) const |
Double_t | GetInput () const |
Returns neuron input. More... | |
const Double_t * | GetNormalisation () const |
TSynapse * | GetPost (Int_t n) const |
TSynapse * | GetPre (Int_t n) const |
Double_t | GetTarget () const |
Computes the normalized target pattern for output neurons. More... | |
ENeuronType | GetType () const |
Returns the neuron type. More... | |
Double_t | GetValue () const |
Computes the output using the appropriate function and all the weighted inputs, or uses the branch as input. More... | |
Double_t | GetWeight () const |
void | SetDEDw (Double_t in) |
Sets the derivative of the total error wrt the neuron weight. More... | |
void | SetNewEvent () const |
Inform the neuron that inputs of the network have changed, so that the buffered values have to be recomputed. More... | |
void | SetNormalisation (Double_t mean, Double_t RMS) |
Sets the normalization variables. More... | |
void | SetWeight (Double_t w) |
Sets the neuron weight to w. More... | |
TTreeFormula * | UseBranch (TTree *, const char *) |
Sets a formula that can be used to make the neuron an input. More... | |
Public Member Functions inherited from TNamed | |
TNamed () | |
TNamed (const char *name, const char *title) | |
TNamed (const TString &name, const TString &title) | |
TNamed (const TNamed &named) | |
TNamed copy ctor. More... | |
virtual | ~TNamed () |
virtual void | Clear (Option_t *option="") |
Set name and title to empty strings (""). More... | |
virtual TObject * | Clone (const char *newname="") const |
Make a clone of an object using the Streamer facility. More... | |
virtual Int_t | Compare (const TObject *obj) const |
Compare 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 * | GetName () const |
Returns name of object. 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 |
virtual void | ls (Option_t *option="") const |
List TNamed name and title. More... | |
TNamed & | operator= (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... | |
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 TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current pad. More... | |
virtual void | Dump () const |
Dump contents of object on stdout. More... | |
virtual void | 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 TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. More... | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. More... | |
virtual Option_t * | GetDrawOption () const |
Get option used by the graphics system to draw this object. More... | |
virtual 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_t * | GetOption () const |
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... | |
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) |
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... | |
Bool_t | IsOnHeap () const |
Bool_t | IsZombie () const |
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... | |
void * | operator new (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz) |
void * | operator new[] (size_t sz, void *vp) |
TObject & | operator= (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) |
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, Bool_t set) |
Set or unset the user status bits as specified in f. More... | |
void | SetBit (UInt_t f) |
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... | |
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. 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... | |
Protected Member Functions | |
void | AddPost (TSynapse *) |
Adds a synapse to the neuron as an output This method is used by the TSynapse while connecting two neurons. More... | |
void | AddPre (TSynapse *) |
Adds a synapse to the neuron as an input This method is used by the TSynapse while connecting two neurons. More... | |
Double_t | DSigmoid (Double_t x) const |
The Derivative of the Sigmoid. More... | |
Double_t | Sigmoid (Double_t x) const |
The Sigmoid. 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 () |
Private Member Functions | |
TNeuron (const TNeuron &) | |
TNeuron & | operator= (const TNeuron &) |
Private Attributes | |
Double_t | fDeDw |
do we need to compute fDeDw again ? More... | |
Double_t | fDEDw |
buffer containing the last derivative of the error More... | |
Double_t | fDerivative |
do we need to compute fDerivative again ? More... | |
TFormula * | fExtD |
TFormula * | fExtF |
TTreeFormula * | fFormula |
Int_t | fIndex |
formula to be used for inputs and outputs More... | |
Double_t | fInput |
do we need to compute fInput again ? More... | |
TObjArray | flayer |
Bool_t | fNewDeDw |
buffer containing the last neuron derivative More... | |
Bool_t | fNewDeriv |
buffer containing the last neuron output More... | |
Bool_t | fNewInput |
index in the formula More... | |
Bool_t | fNewValue |
buffer containing the last neuron input More... | |
Double_t | fNorm [2] |
TObjArray | fpost |
TObjArray | fpre |
ENeuronType | fType |
Double_t | fValue |
do we need to compute fValue again ? More... | |
Double_t | fWeight |
Friends | |
class | TSynapse |
Additional Inherited Members | |
Static Public Member Functions inherited from TObject | |
static Long_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... | |
Protected Attributes inherited from TNamed | |
TString | fName |
TString | fTitle |
#include <TMVA/TNeuron.h>
enum TNeuron::ENeuronType |
TNeuron::TNeuron | ( | TNeuron::ENeuronType | type = kSigmoid , |
const char * | name = "" , |
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const char * | title = "" , |
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const char * | extF = "" , |
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const char * | extD = "" |
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) |
Usual constructor.
Definition at line 51 of file TNeuron.cxx.
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private |
Tells a neuron which neurons form its layer (including itself).
This is needed for self-normalizing functions, like Softmax.
Definition at line 857 of file TNeuron.cxx.
Adds a synapse to the neuron as an output This method is used by the TSynapse while connecting two neurons.
Definition at line 846 of file TNeuron.cxx.
Adds a synapse to the neuron as an input This method is used by the TSynapse while connecting two neurons.
Definition at line 834 of file TNeuron.cxx.
The Derivative of the Sigmoid.
Definition at line 818 of file TNeuron.cxx.
Uses the branch type to force an external value.
Definition at line 1125 of file TNeuron.cxx.
Double_t TNeuron::GetBranch | ( | ) | const |
Returns the formula value.
Definition at line 914 of file TNeuron.cxx.
Double_t TNeuron::GetDeDw | ( | ) | const |
Computes the derivative of the error wrt the neuron weight.
Definition at line 1084 of file TNeuron.cxx.
Double_t TNeuron::GetDerivative | ( | ) | const |
computes the derivative for the appropriate function at the working point
Definition at line 1011 of file TNeuron.cxx.
Double_t TNeuron::GetError | ( | ) | const |
Computes the error for output neurons.
Returns 0 for other neurons.
Definition at line 1063 of file TNeuron.cxx.
Double_t TNeuron::GetInput | ( | ) | const |
Returns neuron input.
Definition at line 925 of file TNeuron.cxx.
Double_t TNeuron::GetTarget | ( | ) | const |
Computes the normalized target pattern for output neurons.
Returns 0 for other neurons.
Definition at line 1074 of file TNeuron.cxx.
TNeuron::ENeuronType TNeuron::GetType | ( | ) | const |
Returns the neuron type.
Definition at line 867 of file TNeuron.cxx.
Double_t TNeuron::GetValue | ( | ) | const |
Computes the output using the appropriate function and all the weighted inputs, or uses the branch as input.
In that case, the branch normalisation is also used.
Definition at line 948 of file TNeuron.cxx.
Sets the derivative of the total error wrt the neuron weight.
Definition at line 1168 of file TNeuron.cxx.
void TNeuron::SetNewEvent | ( | ) | const |
Inform the neuron that inputs of the network have changed, so that the buffered values have to be recomputed.
Definition at line 1157 of file TNeuron.cxx.
Sets the normalization variables.
Any input neuron will return (branch-mean)/RMS. When UseBranch is called, mean and RMS are automatically set to the actual branch mean and RMS.
Definition at line 1137 of file TNeuron.cxx.
Sets the neuron weight to w.
The neuron weight corresponds to the bias in the linear combination of the inputs.
Definition at line 1148 of file TNeuron.cxx.
The Sigmoid.
Fast computation of the values of the sigmoid function. Uses values of the function up to the seventh order tabulated at 700 points. Values were computed in long double precision (16 bytes, precision to about 37 digits) on a hp computer. Some values were checked with Mathematica. Result should be correct to ~ 15 digits (about double precision)
From the mlpfit package (J.Schwindling 20-Jul-1999)
Definition at line 95 of file TNeuron.cxx.
TTreeFormula * TNeuron::UseBranch | ( | TTree * | input, |
const char * | formula | ||
) |
Sets a formula that can be used to make the neuron an input.
The formula is automatically normalized to mean=0, RMS=1. This normalisation is used by GetValue() (input neurons) and GetError() (output neurons)
Definition at line 878 of file TNeuron.cxx.
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