Definition at line 50 of file DataLoader.h.
Public Member Functions | |
DataLoader (TString thedlName="default") | |
virtual | ~DataLoader () |
void | AddBackgroundTestEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal training event | |
void | AddBackgroundTrainingEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal training event | |
void | AddBackgroundTree (TString datFileB, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
add background tree from text file | |
void | AddBackgroundTree (TTree *background, Double_t weight, const TString &treetype) |
void | AddBackgroundTree (TTree *background, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
number of signal events (used to compute significance) | |
void | AddCut (const TCut &cut, const TString &className="") |
void | AddCut (const TString &cut, const TString &className="") |
DataSetInfo & | AddDataSet (const TString &) |
DataSetInfo & | AddDataSet (DataSetInfo &) |
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 | |
void | AddRegressionTarget (const TString &expression, const TString &title="", const TString &unit="", Double_t min=0, Double_t max=0) |
void | AddRegressionTree (TTree *tree, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
void | AddSignalTestEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal testing event | |
void | AddSignalTrainingEvent (const std::vector< Double_t > &event, Double_t weight=1.0) |
add signal training event | |
void | AddSignalTree (TString datFileS, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
add signal tree from text file | |
void | AddSignalTree (TTree *signal, Double_t weight, const TString &treetype) |
void | AddSignalTree (TTree *signal, Double_t weight=1.0, Types::ETreeType treetype=Types::kMaxTreeType) |
number of signal events (used to compute significance) | |
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 | |
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 | |
void | AddTestEvent (const TString &className, const std::vector< Double_t > &event, Double_t weight) |
add signal test event | |
void | AddTrainingEvent (const TString &className, const std::vector< Double_t > &event, Double_t weight) |
add signal training event | |
void | AddTree (TTree *tree, const TString &className, Double_t weight, const TCut &cut, const TString &treeType) |
number of signal events (used to compute significance) | |
void | AddTree (TTree *tree, const TString &className, Double_t weight=1.0, const TCut &cut="", Types::ETreeType tt=Types::kMaxTreeType) |
void | AddVariable (const TString &expression, char type='F', Double_t min=0, Double_t max=0) |
user inserts discriminating variable in data set info | |
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 | |
void | AddVariablesArray (const TString &expression, int size, char type='F', Double_t min=0, Double_t max=0) |
user inserts discriminating array of variables in data set info in case input tree provides an array of values | |
TTree * | CreateEventAssignTrees (const TString &name) |
create the data assignment tree (for event-wise data assignment by user) | |
DataInputHandler & | DataInput () |
TH2 * | GetCorrelationMatrix (const TString &className) |
returns the correlation matrix of datasets | |
DataSetInfo & | GetDataSetInfo () |
const DataSetInfo & | GetDefaultDataSetInfo () |
DataLoader * | MakeCopy (TString name) |
Copy method use in VI and CV. | |
void | MakeKFoldDataSet (CvSplit &s) |
Function required to split the training and testing datasets into a number of folds. | |
void | PrepareFoldDataSet (CvSplit &s, UInt_t foldNumber, Types::ETreeType tt=Types::kTraining) |
Function for assigning the correct folds to the testing or training set. | |
void | PrepareTrainingAndTestTree (const TCut &cut, const TString &splitOpt) |
prepare the training and test trees -> same cuts for signal and background | |
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 | |
void | PrepareTrainingAndTestTree (const TCut &cut, Int_t Ntrain, Int_t Ntest=-1) |
prepare the training and test trees kept for backward compatibility | |
void | PrepareTrainingAndTestTree (TCut sigcut, TCut bkgcut, const TString &splitOpt) |
prepare the training and test trees | |
void | RecombineKFoldDataSet (CvSplit &s, Types::ETreeType tt=Types::kTraining) |
Recombines the dataset. | |
void | SetBackgroundTree (TTree *background, Double_t weight=1.0) |
void | SetBackgroundWeightExpression (const TString &variable) |
void | SetCut (const TCut &cut, const TString &className="") |
void | SetCut (const TString &cut, const TString &className="") |
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 | |
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 | |
void | SetInputVariables (std::vector< TString > *theVariables) |
fill input variables in data set | |
void | SetSignalTree (TTree *signal, Double_t weight=1.0) |
void | SetSignalWeightExpression (const TString &variable) |
void | SetTree (TTree *tree, const TString &className, Double_t weight) |
set background tree | |
void | SetWeightExpression (const TString &variable, const TString &className="") |
Bool_t | UserAssignEvents (UInt_t clIndex) |
DataLoader * | VarTransform (TString trafoDefinition) |
Transforms the variables and return a new DataLoader with the transformed variables. | |
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Configurable (const TString &theOption="") | |
constructor | |
virtual | ~Configurable () |
default destructor | |
void | AddOptionsXMLTo (void *parent) const |
write options to XML file | |
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 | |
template<class T > | |
TMVA::OptionBase * | DeclareOptionRef (T &ref, const TString &name, const TString &desc) |
template<class T > | |
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) |
template<class T > | |
OptionBase * | DeclareOptionRef (T *&ref, Int_t size, const TString &name, const TString &desc="") |
const char * | GetConfigDescription () const |
const char * | GetConfigName () const |
const TString & | GetOptions () const |
MsgLogger & | Log () const |
virtual void | ParseOptions () |
options parser | |
void | PrintOptions () const |
prints out the options set in the options string and the defaults | |
void | ReadOptionsFromStream (std::istream &istr) |
read option back from the weight file | |
void | ReadOptionsFromXML (void *node) |
void | SetConfigDescription (const char *d) |
void | SetConfigName (const char *n) |
void | SetMsgType (EMsgType t) |
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 | |
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TNamed () | |
TNamed (const char *name, const char *title) | |
TNamed (const TNamed &named) | |
TNamed copy ctor. | |
TNamed (const TString &name, const TString &title) | |
virtual | ~TNamed () |
TNamed destructor. | |
virtual void | Clear (Option_t *option="") |
Set name and title to empty strings (""). | |
virtual TObject * | Clone (const char *newname="") const |
Make a clone of an object using the Streamer facility. | |
virtual Int_t | Compare (const TObject *obj) const |
Compare two TNamed objects. | |
virtual void | Copy (TObject &named) const |
Copy this to obj. | |
virtual void | FillBuffer (char *&buffer) |
Encode TNamed into output buffer. | |
virtual const char * | GetName () const |
Returns name of object. | |
virtual const char * | GetTitle () const |
Returns title of object. | |
virtual ULong_t | Hash () const |
Return hash value for this object. | |
virtual Bool_t | IsSortable () const |
virtual void | ls (Option_t *option="") const |
List TNamed name and title. | |
TNamed & | operator= (const TNamed &rhs) |
TNamed assignment operator. | |
virtual void | Print (Option_t *option="") const |
Print TNamed name and title. | |
virtual void | SetName (const char *name) |
Set the name of the TNamed. | |
virtual void | SetNameTitle (const char *name, const char *title) |
Set all the TNamed parameters (name and title). | |
virtual void | SetTitle (const char *title="") |
Set the title of the TNamed. | |
virtual Int_t | Sizeof () const |
Return size of the TNamed part of the TObject. | |
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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 | 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 TObject * | DrawClone (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 TObject * | FindObject (const char *name) const |
Must be redefined in derived classes. | |
virtual TObject * | FindObject (const TObject *obj) const |
Must be redefined in derived classes. | |
virtual Option_t * | GetDrawOption () 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_t * | GetOption () const |
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. | |
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 |
R__ALWAYS_INLINE 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). | |
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 []. | |
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. | |
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 Types | |
enum | DataAssignType { kUndefined = 0 , kAssignTrees , kAssignEvents } |
Private Member Functions | |
DataSetInfo & | DefaultDataSetInfo () |
default creation | |
void | SetInputTreesFromEventAssignTrees () |
assign event-wise local trees to data set | |
Private Attributes | |
Types::EAnalysisType | fAnalysisType |
std::vector< Float_t > | fATreeEvent |
Int_t | fATreeType = 0 |
Float_t | fATreeWeight = 0.0 |
DataAssignType | fDataAssignType |
DataInputHandler * | fDataInputHandler |
DataSetManager * | fDataSetManager |
std::vector< TMVA::VariableTransformBase * > | fDefaultTrfs |
TString | fOptions |
std::vector< TTree * > | fTestAssignTree |
std::vector< TTree * > | fTrainAssignTree |
TString | fTransformations |
Bool_t | fVerbose |
Friends | |
void | DataLoaderCopy (TMVA::DataLoader *des, TMVA::DataLoader *src) |
Additional Inherited Members | |
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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) } |
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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. | |
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enum | { kOnlyPrepStep = BIT(3) } |
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void | EnableLooseOptions (Bool_t b=kTRUE) |
const TString & | GetReferenceFile () const |
Bool_t | LooseOptionCheckingEnabled () const |
void | ResetSetFlag () |
resets the IsSet flag for all declare options to be called before options are read from stream | |
void | WriteOptionsReferenceToFile () |
write complete options to output stream | |
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virtual void | DoError (int level, const char *location, const char *fmt, va_list va) const |
Interface to ErrorHandler (protected). | |
void | MakeZombie () |
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MsgLogger * | fLogger |
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TString | fName |
TString | fTitle |
#include <TMVA/DataLoader.h>
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private |
Enumerator | |
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kUndefined | |
kAssignTrees | |
kAssignEvents |
Definition at line 199 of file DataLoader.h.
TMVA::DataLoader::DataLoader | ( | TString | thedlName = "default" | ) |
Definition at line 80 of file DataLoader.cxx.
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virtual |
Definition at line 96 of file DataLoader.cxx.
void TMVA::DataLoader::AddBackgroundTestEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal training event
Definition at line 251 of file DataLoader.cxx.
void TMVA::DataLoader::AddBackgroundTrainingEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal training event
Definition at line 243 of file DataLoader.cxx.
void TMVA::DataLoader::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 409 of file DataLoader.cxx.
void TMVA::DataLoader::AddBackgroundTree | ( | TTree * | background, |
Double_t | weight, | ||
const TString & | treetype | ||
) |
Definition at line 424 of file DataLoader.cxx.
void TMVA::DataLoader::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 401 of file DataLoader.cxx.
Definition at line 593 of file DataLoader.cxx.
Definition at line 587 of file DataLoader.cxx.
TMVA::DataSetInfo & TMVA::DataLoader::AddDataSet | ( | const TString & | dsiName | ) |
Definition at line 126 of file DataLoader.cxx.
TMVA::DataSetInfo & TMVA::DataLoader::AddDataSet | ( | DataSetInfo & | dsi | ) |
Definition at line 119 of file DataLoader.cxx.
void TMVA::DataLoader::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 276 of file DataLoader.cxx.
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inline |
Definition at line 132 of file DataLoader.h.
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inline |
Definition at line 103 of file DataLoader.h.
void TMVA::DataLoader::AddSignalTestEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal testing event
Definition at line 235 of file DataLoader.cxx.
void TMVA::DataLoader::AddSignalTrainingEvent | ( | const std::vector< Double_t > & | event, |
Double_t | weight = 1.0 |
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) |
add signal training event
Definition at line 227 of file DataLoader.cxx.
void TMVA::DataLoader::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 378 of file DataLoader.cxx.
Definition at line 393 of file DataLoader.cxx.
void TMVA::DataLoader::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 370 of file DataLoader.cxx.
void TMVA::DataLoader::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 523 of file DataLoader.cxx.
void TMVA::DataLoader::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 511 of file DataLoader.cxx.
void TMVA::DataLoader::AddTestEvent | ( | const TString & | className, |
const std::vector< Double_t > & | event, | ||
Double_t | weight | ||
) |
add signal test event
Definition at line 267 of file DataLoader.cxx.
void TMVA::DataLoader::AddTrainingEvent | ( | const TString & | className, |
const std::vector< Double_t > & | event, | ||
Double_t | weight | ||
) |
add signal training event
Definition at line 259 of file DataLoader.cxx.
void TMVA::DataLoader::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 333 of file DataLoader.cxx.
void TMVA::DataLoader::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 350 of file DataLoader.cxx.
void TMVA::DataLoader::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 493 of file DataLoader.cxx.
void TMVA::DataLoader::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 484 of file DataLoader.cxx.
void TMVA::DataLoader::AddVariablesArray | ( | const TString & | expression, |
int | size, | ||
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 array of variables in data set info in case input tree provides an array of values
Definition at line 503 of file DataLoader.cxx.
create the data assignment tree (for event-wise data assignment by user)
Definition at line 194 of file DataLoader.cxx.
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inline |
Definition at line 172 of file DataLoader.h.
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private |
default creation
Definition at line 532 of file DataLoader.cxx.
returns the correlation matrix of datasets
Definition at line 716 of file DataLoader.cxx.
TMVA::DataSetInfo & TMVA::DataLoader::GetDataSetInfo | ( | ) |
Definition at line 137 of file DataLoader.cxx.
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inline |
Definition at line 165 of file DataLoader.h.
TMVA::DataLoader * TMVA::DataLoader::MakeCopy | ( | TString | name | ) |
Copy method use in VI and CV.
Definition at line 690 of file DataLoader.cxx.
Function required to split the training and testing datasets into a number of folds.
Required by the CrossValidation and HyperParameterOptimisation classes. The option to split the training dataset into a training set and a validation set is implemented but not currently used.
Definition at line 661 of file DataLoader.cxx.
void TMVA::DataLoader::PrepareFoldDataSet | ( | CvSplit & | s, |
UInt_t | foldNumber, | ||
Types::ETreeType | tt = Types::kTraining |
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) |
Function for assigning the correct folds to the testing or training set.
Definition at line 669 of file DataLoader.cxx.
prepare the training and test trees -> same cuts for signal and background
Definition at line 631 of file DataLoader.cxx.
void TMVA::DataLoader::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 601 of file DataLoader.cxx.
void TMVA::DataLoader::PrepareTrainingAndTestTree | ( | const TCut & | cut, |
Int_t | Ntrain, | ||
Int_t | Ntest = -1 |
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) |
prepare the training and test trees kept for backward compatibility
Definition at line 617 of file DataLoader.cxx.
void TMVA::DataLoader::PrepareTrainingAndTestTree | ( | TCut | sigcut, |
TCut | bkgcut, | ||
const TString & | splitOpt | ||
) |
prepare the training and test trees
Definition at line 643 of file DataLoader.cxx.
void TMVA::DataLoader::RecombineKFoldDataSet | ( | CvSplit & | s, |
Types::ETreeType | tt = Types::kTraining |
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) |
Recombines the dataset.
The precise semantics depend on the actual split.
Similar to the inverse operation of MakeKFoldDataSet
but will differ. See documentation for each particular split for more information.
Definition at line 682 of file DataLoader.cxx.
Definition at line 438 of file DataLoader.cxx.
Definition at line 555 of file DataLoader.cxx.
Definition at line 580 of file DataLoader.cxx.
Definition at line 574 of file DataLoader.cxx.
void TMVA::DataLoader::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 463 of file DataLoader.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 475 of file DataLoader.cxx.
void TMVA::DataLoader::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 454 of file DataLoader.cxx.
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assign event-wise local trees to data set
Definition at line 318 of file DataLoader.cxx.
fill input variables in data set
Definition at line 540 of file DataLoader.cxx.
Definition at line 431 of file DataLoader.cxx.
Definition at line 548 of file DataLoader.cxx.
set background tree
Definition at line 446 of file DataLoader.cxx.
void TMVA::DataLoader::SetWeightExpression | ( | const TString & | variable, |
const TString & | className = "" |
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) |
Definition at line 562 of file DataLoader.cxx.
Definition at line 310 of file DataLoader.cxx.
TMVA::DataLoader * TMVA::DataLoader::VarTransform | ( | TString | trafoDefinition | ) |
Transforms the variables and return a new DataLoader with the transformed variables.
Definition at line 146 of file DataLoader.cxx.
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Definition at line 210 of file DataLoader.h.
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Definition at line 208 of file DataLoader.h.
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Definition at line 206 of file DataLoader.h.
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Definition at line 207 of file DataLoader.h.
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Definition at line 202 of file DataLoader.h.
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Definition at line 189 of file DataLoader.h.
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Definition at line 186 of file DataLoader.h.
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Definition at line 191 of file DataLoader.h.
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Definition at line 194 of file DataLoader.h.
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Definition at line 204 of file DataLoader.h.
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Definition at line 203 of file DataLoader.h.
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Definition at line 195 of file DataLoader.h.
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Definition at line 196 of file DataLoader.h.