Class that contains all the data information.
Definition at line 116 of file DataSetFactory.h.
Classes | |
class | EventStats |
Public Member Functions | |
DataSetFactory () | |
constructor | |
~DataSetFactory () | |
destructor | |
DataSet * | CreateDataSet (DataSetInfo &, DataInputHandler &) |
steering the creation of a new dataset | |
virtual TClass * | IsA () const |
virtual void | Streamer (TBuffer &) |
Stream an object of class TObject. | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
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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 | Clear (Option_t *="") |
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 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 TObject * | DrawClone (Option_t *option="") const |
Draw a clone of this object in the current selected pad with: gROOT->SetSelectedPad(c1) . | |
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=nullptr) |
Execute method on this object with the given parameter string, e.g. | |
virtual void | Execute (TMethod *method, TObjArray *params, Int_t *error=nullptr) |
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 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_t * | GetOption () const |
virtual const char * | GetTitle () const |
Returns title of object. | |
virtual UInt_t | GetUniqueID () const |
Return the unique object id. | |
virtual Bool_t | HandleTimer (TTimer *timer) |
Execute action in response of a timer timing out. | |
virtual ULong_t | Hash () const |
Return hash value for this object. | |
Bool_t | HasInconsistentHash () const |
Return true is the type of this object is known to have an inconsistent setup for Hash and RecursiveRemove (i.e. | |
virtual void | Info (const char *method, const char *msgfmt,...) const |
Issue info message. | |
virtual Bool_t | InheritsFrom (const char *classname) const |
Returns kTRUE if object inherits from class "classname". | |
virtual Bool_t | InheritsFrom (const TClass *cl) const |
Returns kTRUE if object inherits from TClass cl. | |
virtual void | Inspect () const |
Dump contents of this object in a graphics canvas. | |
void | InvertBit (UInt_t f) |
Bool_t | IsDestructed () const |
IsDestructed. | |
virtual Bool_t | IsEqual (const TObject *obj) const |
Default equal comparison (objects are equal if they have the same address in memory). | |
virtual Bool_t | IsFolder () const |
Returns kTRUE in case object contains browsable objects (like containers or lists of other objects). | |
R__ALWAYS_INLINE Bool_t | IsOnHeap () const |
virtual Bool_t | IsSortable () const |
R__ALWAYS_INLINE Bool_t | IsZombie () const |
virtual void | ls (Option_t *option="") const |
The ls function lists the contents of a class on stdout. | |
void | MayNotUse (const char *method) const |
Use this method to signal that a method (defined in a base class) may not be called in a derived class (in principle against good design since a child class should not provide less functionality than its parent, however, sometimes it is necessary). | |
virtual Bool_t | Notify () |
This method must be overridden to handle object notification (the base implementation is no-op). | |
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, void *vp) |
Only called by placement new when throwing an exception. | |
void | operator delete[] (void *ptr) |
Operator delete []. | |
void | operator delete[] (void *ptr, void *vp) |
Only called by placement new[] when throwing an exception. | |
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 void | Print (Option_t *option="") const |
This method must be overridden when a class wants to print itself. | |
virtual Int_t | Read (const char *name) |
Read contents of object with specified name from the current directory. | |
virtual void | RecursiveRemove (TObject *obj) |
Recursively remove this object from a list. | |
void | ResetBit (UInt_t f) |
virtual void | SaveAs (const char *filename="", Option_t *option="") const |
Save this object in the file specified by filename. | |
virtual void | SavePrimitive (std::ostream &out, Option_t *option="") |
Save a primitive as a C++ statement(s) on output stream "out". | |
void | SetBit (UInt_t f) |
void | SetBit (UInt_t f, Bool_t set) |
Set or unset the user status bits as specified in f. | |
virtual void | SetDrawOption (Option_t *option="") |
Set drawing option for object. | |
virtual void | SetUniqueID (UInt_t uid) |
Set the unique object id. | |
void | StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b) |
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=nullptr, Int_t option=0, Int_t bufsize=0) |
Write this object to the current directory. | |
virtual Int_t | Write (const char *name=nullptr, Int_t option=0, Int_t bufsize=0) const |
Write this object to the current directory. | |
Static Public Member Functions | |
static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
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static TClass * | Class () |
static const char * | Class_Name () |
static constexpr Version_t | Class_Version () |
static const char * | DeclFileName () |
static Longptr_t | GetDtorOnly () |
Return destructor only flag. | |
static Bool_t | GetObjectStat () |
Get status of object stat flag. | |
static void | SetDtorOnly (void *obj) |
Set destructor only flag. | |
static void | SetObjectStat (Bool_t stat) |
Turn on/off tracking of objects in the TObjectTable. | |
Protected Member Functions | |
DataSet * | BuildDynamicDataSet (DataSetInfo &) |
void | BuildEventVector (DataSetInfo &dsi, DataInputHandler &dataInput, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts) |
build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType | |
DataSet * | BuildInitialDataSet (DataSetInfo &, TMVA::DataInputHandler &) |
if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables) | |
TMatrixD * | CalcCorrelationMatrix (DataSet *, const UInt_t classNumber) |
computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree) | |
TMatrixD * | CalcCovarianceMatrix (DataSet *, const UInt_t classNumber) |
compute covariance matrix | |
void | CalcMinMax (DataSet *, DataSetInfo &dsi) |
compute covariance matrix | |
void | ChangeToNewTree (TreeInfo &, const DataSetInfo &) |
While the data gets copied into the local training and testing trees, the input tree can change (for instance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be re-associated with the new tree, which is done here. | |
Bool_t | CheckTTreeFormula (TTreeFormula *ttf, const TString &expression, Bool_t &hasDollar) |
checks a TTreeFormula for problems | |
void | InitOptions (DataSetInfo &dsi, EvtStatsPerClass &eventsmap, TString &normMode, UInt_t &splitSeed, TString &splitMode, TString &mixMode) |
the dataset splitting | |
MsgLogger & | Log () const |
DataSet * | MixEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, EvtStatsPerClass &eventCounts, const TString &splitMode, const TString &mixMode, const TString &normMode, UInt_t splitSeed) |
Select and distribute unassigned events to kTraining and kTesting. | |
void | RenormEvents (DataSetInfo &dsi, EventVectorOfClassesOfTreeType &eventsmap, const EvtStatsPerClass &eventCounts, const TString &normMode) |
renormalisation of the TRAINING event weights | |
void | ResetBranchAndEventAddresses (TTree *) |
void | ResetCurrentTree () |
Bool_t | Verbose () |
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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 () |
Protected Attributes | |
Bool_t | fComputeCorrelations = kFALSE |
Whether to force computation of correlations or not. | |
Bool_t | fCorrelations = kFALSE |
Whether to print correlations or not. | |
UInt_t | fCurrentEvtIdx |
the current event (to avoid reading of the same event) | |
TTree * | fCurrentTree |
the tree, events are currently read from | |
std::vector< TTreeFormula * > | fCutFormulas |
cuts | |
std::vector< TTreeFormula * > | fInputFormulas |
input variables | |
std::vector< std::pair< TTreeFormula *, Int_t > > | fInputTableFormulas |
! input variables expression for arrays | |
MsgLogger * | fLogger |
! message logger | |
Bool_t | fScaleWithPreselEff |
how to deal with requested #events in connection with preselection cuts | |
std::vector< TTreeFormula * > | fSpectatorFormulas |
spectators | |
std::vector< TTreeFormula * > | fTargetFormulas |
targets | |
Bool_t | fVerbose |
Verbosity. | |
TString | fVerboseLevel |
VerboseLevel. | |
std::vector< TTreeFormula * > | fWeightFormula |
weights | |
Private Types | |
typedef std::vector< Event * > | EventVector |
typedef std::vector< EventVector > | EventVectorOfClasses |
typedef std::map< Types::ETreeType, EventVectorOfClasses > | EventVectorOfClassesOfTreeType |
typedef std::map< Types::ETreeType, EventVector > | EventVectorOfTreeType |
typedef std::vector< EventStats > | EvtStatsPerClass |
typedef std::vector< int > | NumberPerClass |
typedef std::vector< Double_t > | ValuePerClass |
typedef std::map< Types::ETreeType, ValuePerClass > | ValuePerClassOfTreeType |
Additional Inherited Members | |
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enum | { kIsOnHeap = 0x01000000 , kNotDeleted = 0x02000000 , kZombie = 0x04000000 , kInconsistent = 0x08000000 , kBitMask = 0x00ffffff } |
enum | { kSingleKey = (1ULL << ( 0 )) , kOverwrite = (1ULL << ( 1 )) , kWriteDelete = (1ULL << ( 2 )) } |
enum | EDeprecatedStatusBits { kObjInCanvas = (1ULL << ( 3 )) } |
enum | EStatusBits { kCanDelete = (1ULL << ( 0 )) , kMustCleanup = (1ULL << ( 3 )) , kIsReferenced = (1ULL << ( 4 )) , kHasUUID = (1ULL << ( 5 )) , kCannotPick = (1ULL << ( 6 )) , kNoContextMenu = (1ULL << ( 8 )) , kInvalidObject = (1ULL << ( 13 )) } |
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enum | { kOnlyPrepStep = (1ULL << ( 3 )) } |
#include <TMVA/DataSetFactory.h>
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Definition at line 118 of file DataSetFactory.h.
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Definition at line 119 of file DataSetFactory.h.
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Definition at line 120 of file DataSetFactory.h.
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Definition at line 121 of file DataSetFactory.h.
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Definition at line 155 of file DataSetFactory.h.
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Definition at line 154 of file DataSetFactory.h.
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Definition at line 123 of file DataSetFactory.h.
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Definition at line 124 of file DataSetFactory.h.
TMVA::DataSetFactory::~DataSetFactory | ( | ) |
destructor
Definition at line 107 of file DataSetFactory.cxx.
TMVA::DataSetFactory::DataSetFactory | ( | ) |
constructor
Definition at line 93 of file DataSetFactory.cxx.
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Definition at line 149 of file DataSetFactory.cxx.
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build empty event vectors distributes events between kTraining/kTesting/kMaxTreeType
Definition at line 728 of file DataSetFactory.cxx.
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if no entries, than create a DataSet with one Event which uses dynamic variables (pointers to variables)
Definition at line 202 of file DataSetFactory.cxx.
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computes correlation matrix for variables "theVars" in tree; "theType" defines the required event "type" ("type" variable must be present in tree)
Definition at line 548 of file DataSetFactory.cxx.
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compute covariance matrix
Definition at line 579 of file DataSetFactory.cxx.
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compute covariance matrix
Definition at line 479 of file DataSetFactory.cxx.
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While the data gets copied into the local training and testing trees, the input tree can change (for instance when changing from signal to background tree, or using TChains as input) The TTreeFormulas, that hold the input expressions need to be re-associated with the new tree, which is done here.
Definition at line 293 of file DataSetFactory.cxx.
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checks a TTreeFormula for problems
Definition at line 251 of file DataSetFactory.cxx.
Definition at line 238 of file DataSetFactory.h.
TMVA::DataSet * TMVA::DataSetFactory::CreateDataSet | ( | TMVA::DataSetInfo & | dsi, |
TMVA::DataInputHandler & | dataInput ) |
steering the creation of a new dataset
Definition at line 123 of file DataSetFactory.cxx.
Definition at line 238 of file DataSetFactory.h.
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the dataset splitting
Definition at line 638 of file DataSetFactory.cxx.
Reimplemented from TObject.
Definition at line 238 of file DataSetFactory.h.
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Definition at line 236 of file DataSetFactory.h.
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Select and distribute unassigned events to kTraining and kTesting.
Definition at line 1063 of file DataSetFactory.cxx.
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renormalisation of the TRAINING event weights
Definition at line 1488 of file DataSetFactory.cxx.
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inlineprotected |
Definition at line 204 of file DataSetFactory.h.
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inline |
Definition at line 238 of file DataSetFactory.h.
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Definition at line 209 of file DataSetFactory.h.
Whether to force computation of correlations or not.
Definition at line 219 of file DataSetFactory.h.
Whether to print correlations or not.
Definition at line 218 of file DataSetFactory.h.
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the current event (to avoid reading of the same event)
Definition at line 225 of file DataSetFactory.h.
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the tree, events are currently read from
Definition at line 224 of file DataSetFactory.h.
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cuts
Definition at line 231 of file DataSetFactory.h.
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input variables
Definition at line 228 of file DataSetFactory.h.
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! input variables expression for arrays
Definition at line 229 of file DataSetFactory.h.
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! message logger
Definition at line 235 of file DataSetFactory.h.
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how to deal with requested #events in connection with preselection cuts
Definition at line 221 of file DataSetFactory.h.
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spectators
Definition at line 233 of file DataSetFactory.h.
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targets
Definition at line 230 of file DataSetFactory.h.
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Verbosity.
Definition at line 214 of file DataSetFactory.h.
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VerboseLevel.
Definition at line 215 of file DataSetFactory.h.
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weights
Definition at line 232 of file DataSetFactory.h.