ROOT
6.07/01
Reference Guide
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Public Types | |
typedef std::vector< IMethod * > | MVector |
Public Types inherited from TObject | |
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) } |
enum | { kIsOnHeap = 0x01000000, kNotDeleted = 0x02000000, kZombie = 0x04000000, kBitMask = 0x00ffffff } |
enum | { kSingleKey = BIT(0), kOverwrite = BIT(1), kWriteDelete = BIT(2) } |
Public Member Functions | |
Factory (TString theJobName, TFile *theTargetFile, TString theOption="") | |
virtual | ~Factory () |
destructor delete fATreeEvent; More... | |
virtual const char * | GetName () const |
Returns name of object. More... | |
void | AddSignalTrainingEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal training event More... | |
void | AddBackgroundTrainingEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal training event More... | |
void | AddSignalTestEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal testing event More... | |
void | AddBackgroundTestEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal training event More... | |
void | AddTrainingEvent (const TString &className, const std::vector< Double_t > &event, Double_t weight) |
add signal training event More... | |
void | AddTestEvent (const TString &className, const std::vector< Double_t > &event, Double_t weight) |
add signal test event More... | |
void | AddEvent (const TString &className, Types::ETreeType tt, const std::vector< Double_t > &event, Double_t weight) |
add event vector event : the order of values is: variables + targets + spectators More... | |
Bool_t | UserAssignEvents (UInt_t clIndex) |
TTree * | CreateEventAssignTrees (const TString &name) |
create the data assignment tree (for event-wise data assignment by user) More... | |
DataSetInfo & | AddDataSet (DataSetInfo &) |
DataSetInfo & | AddDataSet (const TString &) |
void | SetInputTrees (const TString &signalFileName, const TString &backgroundFileName, Double_t signalWeight=1.0, Double_t backgroundWeight=1.0) |
void | SetInputTrees (TTree *inputTree, const TCut &SigCut, const TCut &BgCut) |
define the input trees for signal and background from single input tree, containing both signal and background events distinguished by the type identifiers: SigCut and BgCut More... | |
void | SetInputTrees (TTree *signal, TTree *background, Double_t signalWeight=1.0, Double_t backgroundWeight=1.0) |
define the input trees for signal and background; no cuts are applied More... | |
void | AddSignalTree (TTree *signal, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
number of signal events (used to compute significance) More... | |
void | AddSignalTree (TString datFileS, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
add signal tree from text file More... | |
void | AddSignalTree (TTree *signal, Double_t weight, const TString &treetype) |
void | SetSignalTree (TTree *signal, Double_t weight=1.0) |
void | AddBackgroundTree (TTree *background, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
number of signal events (used to compute significance) More... | |
void | AddBackgroundTree (TString datFileB, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
add background tree from text file More... | |
void | AddBackgroundTree (TTree *background, Double_t weight, const TString &treetype) |
void | SetBackgroundTree (TTree *background, Double_t weight=1.0) |
void | SetSignalWeightExpression (const TString &variable) |
void | SetBackgroundWeightExpression (const TString &variable) |
void | AddRegressionTree (TTree *tree, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
void | SetTree (TTree *tree, const TString &className, Double_t weight) |
set background tree More... | |
void | AddTree (TTree *tree, const TString &className, Double_t weight=1.0, const TCut &cut="", Types::ETreeType tt=Types::kMaxTreeType) |
void | AddTree (TTree *tree, const TString &className, Double_t weight, const TCut &cut, const TString &treeType) |
number of signal events (used to compute significance) More... | |
void | SetInputVariables (std::vector< TString > *theVariables) |
fill input variables in data set More... | |
void | AddVariable (const TString &expression, const TString &title, const TString &unit, char type='F', Double_t min=0, Double_t max=0) |
user inserts discriminating variable in data set info More... | |
void | AddVariable (const TString &expression, char type='F', Double_t min=0, Double_t max=0) |
user inserts discriminating variable in data set info More... | |
void | AddTarget (const TString &expression, const TString &title="", const TString &unit="", Double_t min=0, Double_t max=0) |
user inserts target in data set info More... | |
void | AddRegressionTarget (const TString &expression, const TString &title="", const TString &unit="", Double_t min=0, Double_t max=0) |
void | AddSpectator (const TString &expression, const TString &title="", const TString &unit="", Double_t min=0, Double_t max=0) |
user inserts target in data set info More... | |
void | SetWeightExpression (const TString &variable, const TString &className="") |
Log() << kWarning << DefaultDataSetInfo().GetNClasses() /*fClasses.size()*/ << Endl;. More... | |
void | SetCut (const TString &cut, const TString &className="") |
void | SetCut (const TCut &cut, const TString &className="") |
void | AddCut (const TString &cut, const TString &className="") |
void | AddCut (const TCut &cut, const TString &className="") |
void | PrepareTrainingAndTestTree (const TCut &cut, const TString &splitOpt) |
prepare the training and test trees -> same cuts for signal and background More... | |
void | PrepareTrainingAndTestTree (TCut sigcut, TCut bkgcut, const TString &splitOpt) |
prepare the training and test trees More... | |
void | PrepareTrainingAndTestTree (const TCut &cut, Int_t Ntrain, Int_t Ntest=-1) |
prepare the training and test trees kept for backward compatibility More... | |
void | PrepareTrainingAndTestTree (const TCut &cut, Int_t NsigTrain, Int_t NbkgTrain, Int_t NsigTest, Int_t NbkgTest, const TString &otherOpt="SplitMode=Random:!V") |
prepare the training and test trees More... | |
MethodBase * | BookMethod (TString theMethodName, TString methodTitle, TString theOption="") |
Book a classifier or regression method. More... | |
MethodBase * | BookMethod (Types::EMVA theMethod, TString methodTitle, TString theOption="") |
books MVA method; the option configuration string is custom for each MVA the TString field "theNameAppendix" serves to define (and distinguish) several instances of a given MVA, eg, when one wants to compare the performance of various configurations More... | |
MethodBase * | BookMethod (TMVA::Types::EMVA, TString, TString, TMVA::Types::EMVA, TString) |
void | OptimizeAllMethods (TString fomType="ROCIntegral", TString fitType="FitGA") |
iterates through all booked methods and sees if they use parameter tuning and if so. More... | |
void | OptimizeAllMethodsForClassification (TString fomType="ROCIntegral", TString fitType="FitGA") |
void | OptimizeAllMethodsForRegression (TString fomType="ROCIntegral", TString fitType="FitGA") |
void | TrainAllMethods () |
iterates through all booked methods and calls training More... | |
void | TrainAllMethodsForClassification (void) |
void | TrainAllMethodsForRegression (void) |
void | TestAllMethods () |
void | EvaluateAllMethods (void) |
iterates over all MVAs that have been booked, and calls their evaluation methods More... | |
void | EvaluateAllVariables (TString options="") |
iterates over all MVA input varables and evaluates them More... | |
void | DeleteAllMethods (void) |
delete methods More... | |
IMethod * | GetMethod (const TString &title) const |
returns pointer to MVA that corresponds to given method title More... | |
Bool_t | Verbose (void) const |
void | SetVerbose (Bool_t v=kTRUE) |
virtual void | MakeClass (const TString &methodTitle="") const |
Print predefined help message of classifier iterate over methods and test. More... | |
void | PrintHelpMessage (const TString &methodTitle="") const |
Print predefined help message of classifier iterate over methods and test. More... | |
Public Member Functions inherited from TMVA::Configurable | |
Configurable (const TString &theOption="") | |
virtual | ~Configurable () |
default destructur More... | |
virtual void | ParseOptions () |
options parser More... | |
void | PrintOptions () const |
prints out the options set in the options string and the defaults More... | |
const char * | GetConfigName () const |
const char * | GetConfigDescription () const |
void | SetConfigName (const char *n) |
void | SetConfigDescription (const char *d) |
template<class T > | |
OptionBase * | DeclareOptionRef (T &ref, const TString &name, const TString &desc="") |
template<class T > | |
OptionBase * | DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc="") |
template<class T > | |
void | AddPreDefVal (const T &) |
template<class T > | |
void | AddPreDefVal (const TString &optname, const T &) |
void | CheckForUnusedOptions () const |
checks for unused options in option string More... | |
const TString & | GetOptions () const |
void | SetOptions (const TString &s) |
void | WriteOptionsToStream (std::ostream &o, const TString &prefix) const |
write options to output stream (e.g. in writing the MVA weight files More... | |
void | ReadOptionsFromStream (std::istream &istr) |
read option back from the weight file More... | |
void | AddOptionsXMLTo (void *parent) const |
write options to XML file More... | |
void | ReadOptionsFromXML (void *node) |
void | SetMsgType (EMsgType t) |
template<class T > | |
TMVA::OptionBase * | DeclareOptionRef (T &ref, const TString &name, const TString &desc) |
template<class T > | |
TMVA::OptionBase * | DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc) |
Public Member Functions inherited from TObject | |
TObject () | |
TObject (const TObject &object) | |
TObject copy ctor. More... | |
TObject & | operator= (const TObject &rhs) |
TObject assignment operator. More... | |
virtual | ~TObject () |
TObject destructor. 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 | Clear (Option_t *="") |
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 abstract method. More... | |
virtual void | Copy (TObject &object) const |
Copy this to obj. 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 | 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 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 UInt_t | GetUniqueID () const |
Return the unique object id. More... | |
virtual const char * | GetIconName () const |
Returns mime type name of object. More... | |
virtual Option_t * | GetOption () const |
virtual char * | GetObjectInfo (Int_t px, Int_t py) const |
Returns string containing info about the object at position (px,py). More... | |
virtual const char * | GetTitle () const |
Returns title of object. More... | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. More... | |
virtual ULong_t | Hash () const |
Return hash value for this object. 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... | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). 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 | IsSortable () const |
Bool_t | IsOnHeap () const |
Bool_t | IsZombie () const |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification. More... | |
virtual void | ls (Option_t *option="") const |
The ls function lists the contents of a class on stdout. 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 void | Print (Option_t *option="") const |
This method must be overridden when a class wants to print itself. 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... | |
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... | |
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 | UseCurrentStyle () |
Set current style settings in this object This function is called when either TCanvas::UseCurrentStyle or TROOT::ForceStyle have been invoked. 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... | |
void * | operator new (size_t sz) |
void * | operator new[] (size_t sz) |
void * | operator new (size_t sz, void *vp) |
void * | operator new[] (size_t sz, void *vp) |
void | operator delete (void *ptr) |
Operator delete. More... | |
void | operator delete[] (void *ptr) |
Operator delete []. 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) |
void | ResetBit (UInt_t f) |
Bool_t | TestBit (UInt_t f) const |
Int_t | TestBits (UInt_t f) const |
void | InvertBit (UInt_t f) |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. More... | |
virtual void | Warning (const char *method, const char *msgfmt,...) const |
Issue warning message. More... | |
virtual void | Error (const char *method, const char *msgfmt,...) const |
Issue error message. More... | |
virtual void | SysError (const char *method, const char *msgfmt,...) const |
Issue system error message. More... | |
virtual void | Fatal (const char *method, const char *msgfmt,...) const |
Issue fatal error message. 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... | |
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... | |
void | Obsolete (const char *method, const char *asOfVers, const char *removedFromVers) const |
Use this method to declare a method obsolete. More... | |
Static Public Member Functions | |
static TDirectory * | RootBaseDir () |
Static Public Member Functions inherited from TObject | |
static Long_t | GetDtorOnly () |
Return destructor only flag. More... | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. More... | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. More... | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. More... | |
Private Types | |
enum | DataAssignType { kUndefined = 0, kAssignTrees, kAssignEvents } |
jobname, used as extension in weight file names More... | |
Private Member Functions | |
void | Greetings () |
print welcome message options are: kLogoWelcomeMsg, kIsometricWelcomeMsg, kLeanWelcomeMsg More... | |
void | WriteDataInformation () |
put correlations of input data and a few (default + user selected) transformations into the root file More... | |
DataInputHandler & | DataInput () |
DataSetInfo & | DefaultDataSetInfo () |
default creation More... | |
void | SetInputTreesFromEventAssignTrees () |
assign event-wise local trees to data set More... | |
Private Attributes | |
DataSetManager * | fDataSetManager |
DataInputHandler * | fDataInputHandler |
ROOT output file. More... | |
std::vector < TMVA::VariableTransformBase * > | fDefaultTrfs |
TString | fOptions |
list of transformations on default DataSet More... | |
TString | fTransformations |
option string given by construction (presently only "V") More... | |
Bool_t | fVerbose |
List of transformations to test. More... | |
MVector | fMethods |
verbose mode More... | |
TString | fJobName |
all MVA methods More... | |
DataAssignType | fDataAssignType |
std::vector< TTree * > | fTrainAssignTree |
flags for data assigning More... | |
std::vector< TTree * > | fTestAssignTree |
for each class: tmp tree if user wants to assign the events directly More... | |
Int_t | fATreeType |
for each class: tmp tree if user wants to assign the events directly More... | |
Float_t | fATreeWeight |
Float_t * | fATreeEvent |
Types::EAnalysisType | fAnalysisType |
Static Private Attributes | |
static TFile * | fgTargetFile = 0 |
Additional Inherited Members | |
Protected Member Functions inherited from TMVA::Configurable | |
Bool_t | LooseOptionCheckingEnabled () const |
void | EnableLooseOptions (Bool_t b=kTRUE) |
void | WriteOptionsReferenceToFile () |
write complete options to output stream More... | |
void | ResetSetFlag () |
resets the IsSet falg for all declare options to be called before options are read from stream More... | |
const TString & | GetReferenceFile () const |
MsgLogger & | Log () const |
Protected Member Functions inherited from TObject | |
void | MakeZombie () |
virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). More... | |
#include <TMVA/Factory.h>
typedef std::vector<IMethod*> TMVA::Factory::MVector |
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private |
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virtual |
destructor delete fATreeEvent;
Definition at line 188 of file Factory.cxx.
void TMVA::Factory::AddBackgroundTestEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal training event
Definition at line 308 of file Factory.cxx.
void TMVA::Factory::AddBackgroundTrainingEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal training event
Definition at line 300 of file Factory.cxx.
void TMVA::Factory::AddBackgroundTree | ( | TTree * | background, |
Double_t | weight = 1.0 , |
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Types::ETreeType | treetype = Types::kMaxTreeType |
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) |
number of signal events (used to compute significance)
Definition at line 458 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), and TMVA::Training().
void TMVA::Factory::AddBackgroundTree | ( | TString | datFileB, |
Double_t | weight = 1.0 , |
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Types::ETreeType | treetype = Types::kMaxTreeType |
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) |
add background tree from text file
Definition at line 465 of file Factory.cxx.
void TMVA::Factory::AddBackgroundTree | ( | TTree * | background, |
Double_t | weight, | ||
const TString & | treetype | ||
) |
Definition at line 480 of file Factory.cxx.
Definition at line 634 of file Factory.cxx.
Definition at line 641 of file Factory.cxx.
TMVA::DataSetInfo & TMVA::Factory::AddDataSet | ( | DataSetInfo & | dsi | ) |
Definition at line 229 of file Factory.cxx.
TMVA::DataSetInfo & TMVA::Factory::AddDataSet | ( | const TString & | dsiName | ) |
Definition at line 236 of file Factory.cxx.
void TMVA::Factory::AddEvent | ( | const TString & | className, |
Types::ETreeType | tt, | ||
const std::vector< Double_t > & | event, | ||
Double_t | weight | ||
) |
add event vector event : the order of values is: variables + targets + spectators
Definition at line 333 of file Factory.cxx.
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inline |
Definition at line 132 of file Factory.h.
Referenced by TMVARegression().
void TMVA::Factory::AddSignalTestEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal testing event
Definition at line 292 of file Factory.cxx.
void TMVA::Factory::AddSignalTrainingEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal training event
Definition at line 284 of file Factory.cxx.
void TMVA::Factory::AddSignalTree | ( | TTree * | signal, |
Double_t | weight = 1.0 , |
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Types::ETreeType | treetype = Types::kMaxTreeType |
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) |
number of signal events (used to compute significance)
Definition at line 427 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), and TMVA::Training().
void TMVA::Factory::AddSignalTree | ( | TString | datFileS, |
Double_t | weight = 1.0 , |
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Types::ETreeType | treetype = Types::kMaxTreeType |
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) |
add signal tree from text file
Definition at line 435 of file Factory.cxx.
Definition at line 450 of file Factory.cxx.
void TMVA::Factory::AddSpectator | ( | const TString & | expression, |
const TString & | title = "" , |
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const TString & | unit = "" , |
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Double_t | min = 0 , |
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Double_t | max = 0 |
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) |
user inserts target in data set info
Definition at line 570 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), and TMVARegression().
void TMVA::Factory::AddTarget | ( | const TString & | expression, |
const TString & | title = "" , |
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const TString & | unit = "" , |
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Double_t | min = 0 , |
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Double_t | max = 0 |
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) |
user inserts target in data set info
Definition at line 558 of file Factory.cxx.
Referenced by AddRegressionTarget(), and TMVARegression().
void TMVA::Factory::AddTestEvent | ( | const TString & | className, |
const std::vector< Double_t > & | event, | ||
Double_t | weight | ||
) |
add signal test event
Definition at line 324 of file Factory.cxx.
void TMVA::Factory::AddTrainingEvent | ( | const TString & | className, |
const std::vector< Double_t > & | event, | ||
Double_t | weight | ||
) |
add signal training event
Definition at line 316 of file Factory.cxx.
void TMVA::Factory::AddTree | ( | TTree * | tree, |
const TString & | className, | ||
Double_t | weight = 1.0 , |
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const TCut & | cut = "" , |
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Types::ETreeType | tt = Types::kMaxTreeType |
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) |
Definition at line 407 of file Factory.cxx.
Referenced by AddRegressionTree(), and TMVAMulticlass().
void TMVA::Factory::AddTree | ( | TTree * | tree, |
const TString & | className, | ||
Double_t | weight, | ||
const TCut & | cut, | ||
const TString & | treeType | ||
) |
number of signal events (used to compute significance)
Definition at line 390 of file Factory.cxx.
void TMVA::Factory::AddVariable | ( | const TString & | expression, |
const TString & | title, | ||
const TString & | unit, | ||
char | type = 'F' , |
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Double_t | min = 0 , |
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Double_t | max = 0 |
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) |
user inserts discriminating variable in data set info
Definition at line 540 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), TMVAMulticlass(), TMVARegression(), and TMVA::Training().
void TMVA::Factory::AddVariable | ( | const TString & | expression, |
char | type = 'F' , |
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Double_t | min = 0 , |
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Double_t | max = 0 |
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) |
user inserts discriminating variable in data set info
Definition at line 549 of file Factory.cxx.
TMVA::MethodBase * TMVA::Factory::BookMethod | ( | TString | theMethodName, |
TString | methodTitle, | ||
TString | theOption = "" |
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) |
Book a classifier or regression method.
Definition at line 706 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), TMVAMulticlass(), TMVARegression(), and TMVA::Training().
TMVA::MethodBase * TMVA::Factory::BookMethod | ( | Types::EMVA | theMethod, |
TString | methodTitle, | ||
TString | theOption = "" |
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books MVA method; the option configuration string is custom for each MVA the TString field "theNameAppendix" serves to define (and distinguish) several instances of a given MVA, eg, when one wants to compare the performance of various configurations
Definition at line 813 of file Factory.cxx.
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create the data assignment tree (for event-wise data assignment by user)
Definition at line 251 of file Factory.cxx.
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default creation
Definition at line 579 of file Factory.cxx.
delete methods
Definition at line 210 of file Factory.cxx.
iterates over all MVAs that have been booked, and calls their evaluation methods
Definition at line 1185 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), TMVAMulticlass(), TMVARegression(), and TMVA::Training().
iterates over all MVA input varables and evaluates them
Definition at line 1170 of file Factory.cxx.
TMVA::IMethod * TMVA::Factory::GetMethod | ( | const TString & | title | ) | const |
returns pointer to MVA that corresponds to given method title
Definition at line 821 of file Factory.cxx.
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Returns name of object.
This default method returns the class name. Classes that give objects a name should override this method.
Reimplemented from TMVA::Configurable.
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print welcome message options are: kLogoWelcomeMsg, kIsometricWelcomeMsg, kLeanWelcomeMsg
Definition at line 177 of file Factory.cxx.
Print predefined help message of classifier iterate over methods and test.
Definition at line 1115 of file Factory.cxx.
void TMVA::Factory::OptimizeAllMethods | ( | TString | fomType = "ROCIntegral" , |
TString | fitType = "FitGA" |
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iterates through all booked methods and sees if they use parameter tuning and if so.
does just that i.e. calls "Method::Train()" for different parameter setttings and keeps in mind the "optimal one"... and that's the one that will later on be used in the main training loop.
Definition at line 931 of file Factory.cxx.
Referenced by OptimizeAllMethodsForClassification(), and OptimizeAllMethodsForRegression().
prepare the training and test trees -> same cuts for signal and background
Definition at line 679 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), TMVAMulticlass(), TMVARegression(), and TMVA::Training().
void TMVA::Factory::PrepareTrainingAndTestTree | ( | TCut | sigcut, |
TCut | bkgcut, | ||
const TString & | splitOpt | ||
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prepare the training and test trees
Definition at line 691 of file Factory.cxx.
prepare the training and test trees kept for backward compatibility
Definition at line 665 of file Factory.cxx.
void TMVA::Factory::PrepareTrainingAndTestTree | ( | const TCut & | cut, |
Int_t | NsigTrain, | ||
Int_t | NbkgTrain, | ||
Int_t | NsigTest, | ||
Int_t | NbkgTest, | ||
const TString & | otherOpt = "SplitMode=Random:!V" |
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prepare the training and test trees
Definition at line 649 of file Factory.cxx.
Print predefined help message of classifier iterate over methods and test.
Definition at line 1143 of file Factory.cxx.
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Definition at line 228 of file Factory.h.
Referenced by TMVA::RuleFit::MakeVisHists(), and TMVA::MethodBase::MethodBaseDir().
Definition at line 494 of file Factory.cxx.
Definition at line 602 of file Factory.cxx.
Referenced by Classification(), and TMVAClassification().
Definition at line 621 of file Factory.cxx.
Definition at line 627 of file Factory.cxx.
void TMVA::Factory::SetInputTrees | ( | const TString & | signalFileName, |
const TString & | backgroundFileName, | ||
Double_t | signalWeight = 1.0 , |
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Double_t | backgroundWeight = 1.0 |
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Definition at line 519 of file Factory.cxx.
define the input trees for signal and background from single input tree, containing both signal and background events distinguished by the type identifiers: SigCut and BgCut
Definition at line 531 of file Factory.cxx.
void TMVA::Factory::SetInputTrees | ( | TTree * | signal, |
TTree * | background, | ||
Double_t | signalWeight = 1.0 , |
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Double_t | backgroundWeight = 1.0 |
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define the input trees for signal and background; no cuts are applied
Definition at line 510 of file Factory.cxx.
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assign event-wise local trees to data set
Definition at line 375 of file Factory.cxx.
fill input variables in data set
Definition at line 587 of file Factory.cxx.
Definition at line 487 of file Factory.cxx.
Definition at line 595 of file Factory.cxx.
set background tree
Definition at line 502 of file Factory.cxx.
Definition at line 222 of file Factory.cxx.
void TMVA::Factory::SetWeightExpression | ( | const TString & | variable, |
const TString & | className = "" |
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Log() << kWarning << DefaultDataSetInfo().GetNClasses() /*fClasses.size()*/ << Endl;.
Definition at line 610 of file Factory.cxx.
Referenced by TMVARegression().
void TMVA::Factory::TestAllMethods | ( | ) |
Definition at line 1085 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), TMVAMulticlass(), TMVARegression(), and TMVA::Training().
void TMVA::Factory::TrainAllMethods | ( | ) |
iterates through all booked methods and calls training
Definition at line 965 of file Factory.cxx.
Referenced by Classification(), TMVAClassification(), TMVAClassificationCategory(), TMVAMulticlass(), TMVARegression(), TrainAllMethodsForClassification(), TrainAllMethodsForRegression(), and TMVA::Training().
Definition at line 367 of file Factory.cxx.
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put correlations of input data and a few (default + user selected) transformations into the root file
Definition at line 837 of file Factory.cxx.
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Definition at line 249 of file Factory.h.
Referenced by RootBaseDir().
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