<- TKDTreeBinning - A class providing multidimensional binning ->

The class implements multidimensional binning by constructing a TKDTree inner structure from the data which is used as the bins. The bins are retrieved as two double*, one for the minimum bin edges, the other as the maximum bin edges. For one dimension one of these is enough to correctly define the bins. For the multidimensional case both minimum and maximum ones are necessary for the bins to be well defined. The bin edges of d-dimensional data is a d-tet of the bin's thresholds. For example if d=3 the minimum bin edges of bin b is of the form of the following array: {xbmin, ybmin, zbmin}. You also have the possibility to sort the bins by their density.

Details of usage can be found in $ROOTSYS/tutorials/math/kdTreeBinning.C and more information on the embedded TKDTree documentation.

Definition at line 29 of file TKDTreeBinning.h.

Classes
struct	CompareAsc

struct	CompareDesc

Public Types
enum	{ kAdjustBinEdges = (1ULL << ( 14 )) }

Public Types inherited from TObject
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 )) }

Public Member Functions
	TKDTreeBinning ()
	Default constructor (for I/O)

	TKDTreeBinning (UInt_t dataSize, UInt_t dataDim, const std::vector< double > &data, UInt_t nBins=100, bool adjustBinEdges=false)
	Class's constructor taking the size of the data points, dimension, a data vector and the number of bins (default = 100).

	TKDTreeBinning (UInt_t dataSize, UInt_t dataDim, Double_t *data, UInt_t nBins=100, bool adjustBinEdges=false)
	Class's constructor taking the size of the data points, dimension, a data array and the number of bins (default = 100).

	~TKDTreeBinning () override
	Class's destructor.

void	FillBinData (ROOT::Fit::BinData &data) const
	Fill the bin data set (class ROOT::Fit::BinData) with the result of the TKDTree binning.

UInt_t	FindBin (const Double_t *point) const
	find the corresponding bin index given the coordinate of a point

const Double_t *	GetBinCenter (UInt_t bin) const
	Returns the geometric center of of the bin.

UInt_t	GetBinContent (UInt_t bin) const
	Returns the number of points in bin. 'bin' is between 0 and fNBins - 1.

Double_t	GetBinDensity (UInt_t bin) const
	Returns the density in bin.

std::pair< const Double_t , const Double_t >	GetBinEdges (UInt_t bin) const
	Returns a pir with the bin's edges. 'bin' is between 0 and fNBins - 1.

UInt_t	GetBinMaxDensity () const
	Return the bin with maximum density.

const Double_t *	GetBinMaxEdges (UInt_t bin) const
	Returns the bin's maximum edges. 'bin' is between 0 and fNBins - 1.

UInt_t	GetBinMinDensity () const
	Return the bin with minimum density.

const Double_t *	GetBinMinEdges (UInt_t bin) const
	Returns the bin's minimum edges. 'bin' is between 0 and fNBins - 1.

std::pair< const Double_t , const Double_t >	GetBinsEdges () const
	Returns a pair of an array with all bins minimum and maximum edges.

const Double_t *	GetBinsMaxEdges () const
	Returns an array with all bins' maximum edges The edges are arranges as xmax_1,ymax_1, xmax_2,ymax_2,....xmax_{nbin},ymax_{nbin}.

const Double_t *	GetBinsMinEdges () const
	Returns an array with all bins' minimum edges The edges are arranges as xmin_1,ymin_1, xmin_2,ymin_2,....xmin_{nbin},ymin_{nbin}.

Double_t	GetBinVolume (UInt_t bin) const
	Returns the (hyper)volume of bin. 'bin' is between 0 and fNBins - 1.

const Double_t *	GetBinWidth (UInt_t bin) const
	Returns a pointer to the vector of the bin widths.

Double_t	GetDataMax (UInt_t dim) const
	Returns the maximum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1.

Double_t	GetDataMin (UInt_t dim) const
	Returns the minimum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1.

UInt_t	GetDim () const
	Returns the number of dimensions.

const Double_t *	GetDimData (UInt_t dim) const

UInt_t	GetNBins () const
	Returns the number of bins.

const Double_t *	GetOneDimBinEdges () const
	Returns a pointer to the vector of the bin edges for one dimensional binning only.

std::vector< std::vector< Double_t > >	GetPointsInBin (UInt_t bin) const
	Return the corresponding point belonging to the bin i.

TKDTreeID *	GetTree () const
	Returns the kD-Tree structure of the binning.

TClass *	IsA () const override

void	SetNBins (UInt_t bins)
	Sets binning inner structure.

void	SortBinsByDensity (Bool_t sortAsc=kTRUE)
	Sorts bins by their density.

const Double_t *	SortOneDimBinEdges (Bool_t sortAsc=kTRUE)
	Sort the one-dimensional bin edges and retuns a pointer to them.

void	Streamer (TBuffer &) override
	Stream a class object.

void	StreamerNVirtual (TBuffer &ClassDef_StreamerNVirtual_b)

Public Member Functions inherited from TObject
	TObject ()
	TObject constructor.

	TObject (const TObject &object)
	TObject copy ctor.

virtual	~TObject ()
	TObject destructor.

void	AbstractMethod (const char *method) const
	Use this method to implement an "abstract" method that you don't want to leave purely abstract.

virtual void	AppendPad (Option_t *option="")
	Append graphics object to current pad.

virtual void	Browse (TBrowser *b)
	Browse object. May be overridden for another default action.

ULong_t	CheckedHash ()
	Check and record whether this class has a consistent Hash/RecursiveRemove setup (*) and then return the regular Hash value for this object.

virtual const char *	ClassName () const
	Returns name of class to which the object belongs.

virtual void	Clear (Option_t *="")

virtual 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.

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 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 ()

Static Public Member Functions inherited from TObject
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.

Private Member Functions
	TKDTreeBinning (TKDTreeBinning &bins)
	Disallowed copy constructor.

TKDTreeBinning	operator= (TKDTreeBinning &bins)
	Disallowed assign operator.

void	ReadjustMaxBinEdges (Double_t *binEdges)

void	ReadjustMinBinEdges (Double_t *binEdges)

void	SetBinMinMaxEdges (Double_t *binEdges)

void	SetBinsContent ()

void	SetBinsEdges ()

void	SetCommonBinEdges (Double_t *binEdges)

void	SetData (const std::vector< double > &data)

void	SetData (Double_t *data)

void	SetTreeData ()

Private Attributes
std::vector< Double_t >	fBinMaxEdges
	The maximum values for the bins' edges for each dimension.

std::vector< Double_t >	fBinMinEdges
	The minimum values for the bins' edges for each dimension.

std::vector< UInt_t >	fBinsContent
	Holds the contents of the bins.

std::vector< std::vector< std::pair< Bool_t, Bool_t > > >	fCheckedBinEdges
	! Auxiliary structure for readjusting the bin edges. Flags if the bin edge was processed in the algorithm

std::vector< std::map< Double_t, std::vector< UInt_t > > >	fCommonBinEdges
	! Auxiliary structure for readjusting the bin edges. Keeps the common bin boundaries

std::vector< Double_t >	fData
	[fDataSize*fDim] The data from which a KDTree partition is computed for binning

TKDTreeID *	fDataBins
	! The binning inner structure.

UInt_t	fDataSize
	The data size.

std::vector< std::pair< Double_t, Double_t > >	fDataThresholds
	Minimum and maximum data values.

UInt_t	fDim
	The data dimension.

std::vector< UInt_t >	fIndices
	Index of the bins in the kd-tree (needed when bins are sorted)

Bool_t	fIsSorted
	Flags if the bin edges are sorted densitywise (or by bin endges in case of 1-dim )

Bool_t	fIsSortedAsc
	Flags if the bin edges are sorted densitywise (or by bin-edge for 1D) in ascending order.

UInt_t	fNBins
	The number of bins.

Friends
struct	CompareAsc
	! Predicate for ascending sort

struct	CompareDesc
	! Predicate for descending sort

Additional Inherited Members
Protected Types inherited from TObject
enum	{ kOnlyPrepStep = (1ULL << ( 3 )) }

Protected Member Functions inherited from TObject
virtual void	DoError (int level, const char location, const char fmt, va_list va) const
	Interface to ErrorHandler (protected).

void	MakeZombie ()

#include <TKDTreeBinning.h>

Inheritance diagram for TKDTreeBinning:

[legend]

Member Enumeration Documentation

◆ anonymous enum

anonymous enum

Enumerator
kAdjustBinEdges	adjust bin edges to avoid overlapping with data

Definition at line 66 of file TKDTreeBinning.h.

Constructor & Destructor Documentation

◆ TKDTreeBinning() [1/4]

TKDTreeBinning::TKDTreeBinning ( TKDTreeBinning & bins )

private

Disallowed copy constructor.

◆ TKDTreeBinning() [2/4]

TKDTreeBinning::TKDTreeBinning ( )

Default constructor (for I/O)

Definition at line 112 of file TKDTreeBinning.cxx.

◆ TKDTreeBinning() [3/4]

TKDTreeBinning::TKDTreeBinning	(	UInt_t	dataSize,
		UInt_t	dataDim,
		Double_t *	data,
		UInt_t	nBins = `100`,
		bool	adjustBinEdges = `false`
	)

Class's constructor taking the size of the data points, dimension, a data array and the number of bins (default = 100).

It is reccomended to have the number of bins as an exact divider of the data size. The data array must be organized with a stride=1 for the points and = N (the dataSize) for the dimension.

Thus data[] = x1,x2,x3,......xN, y1,y2,y3......yN, z1,z2,...........zN,....

Note that the passed dataSize is not the size of the array but is the number of points (N) The size of the array must be at least dataDim*dataSize

Definition at line 73 of file TKDTreeBinning.cxx.

◆ TKDTreeBinning() [4/4]

TKDTreeBinning::TKDTreeBinning	(	UInt_t	dataSize,
		UInt_t	dataDim,
		const std::vector< double > &	data,
		UInt_t	nBins = `100`,
		bool	adjustBinEdges = `false`
	)

Class's constructor taking the size of the data points, dimension, a data vector and the number of bins (default = 100).

It is reccomended to have the number of bins as an exact divider of the data size. The data array must be organized with a stride=1 for the points and = N (the dataSize) for the dimension.

Thus data[] = x1,x2,x3,......xN, y1,y2,y3......yN, z1,z2,...........zN,....

Note that the passed data vector may contains a larger size, in case extra coordinates are associated but not used in building the kdtree The size of thedata vector must be at least dataDim*dataSize

Definition at line 97 of file TKDTreeBinning.cxx.

◆ ~TKDTreeBinning()

TKDTreeBinning::~TKDTreeBinning ( )

override

Class's destructor.

Definition at line 122 of file TKDTreeBinning.cxx.

Member Function Documentation

◆ Class()

static TClass * TKDTreeBinning::Class ( )

static

Returns: TClass describing this class

◆ Class_Name()

static const char * TKDTreeBinning::Class_Name ( )

static

Returns: Name of this class

◆ Class_Version()

static constexpr Version_t TKDTreeBinning::Class_Version ( )

inlinestaticconstexpr

Returns: Version of this class

Definition at line 101 of file TKDTreeBinning.h.

◆ DeclFileName()

static const char * TKDTreeBinning::DeclFileName ( )

inlinestatic

Returns: Name of the file containing the class declaration

Definition at line 101 of file TKDTreeBinning.h.

◆ FillBinData()

void TKDTreeBinning::FillBinData ( ROOT::Fit::BinData & data ) const

Fill the bin data set (class ROOT::Fit::BinData) with the result of the TKDTree binning.

Definition at line 615 of file TKDTreeBinning.cxx.

◆ FindBin()

UInt_t TKDTreeBinning::FindBin ( const Double_t * point ) const

find the corresponding bin index given the coordinate of a point

Definition at line 625 of file TKDTreeBinning.cxx.

◆ GetBinCenter()

const Double_t * TKDTreeBinning::GetBinCenter ( UInt_t bin ) const

Returns the geometric center of of the bin.

'bin' is between 0 and fNBins - 1, Array must be deleted as "delete [] res"

Definition at line 554 of file TKDTreeBinning.cxx.

◆ GetBinContent()

UInt_t TKDTreeBinning::GetBinContent ( UInt_t bin ) const

Returns the number of points in bin. 'bin' is between 0 and fNBins - 1.

Definition at line 428 of file TKDTreeBinning.cxx.

◆ GetBinDensity()

Double_t TKDTreeBinning::GetBinDensity ( UInt_t bin ) const

Returns the density in bin.

'bin' is between 0 and fNBins - 1 The density is the bin content/ bin volume

Definition at line 474 of file TKDTreeBinning.cxx.

◆ GetBinEdges()

std::pair< const Double_t *, const Double_t * > TKDTreeBinning::GetBinEdges ( UInt_t bin ) const

Returns a pir with the bin's edges. 'bin' is between 0 and fNBins - 1.

Definition at line 405 of file TKDTreeBinning.cxx.

◆ GetBinMaxDensity()

UInt_t TKDTreeBinning::GetBinMaxDensity ( ) const

Return the bin with maximum density.

Definition at line 585 of file TKDTreeBinning.cxx.

◆ GetBinMaxEdges()

const Double_t * TKDTreeBinning::GetBinMaxEdges ( UInt_t bin ) const

Returns the bin's maximum edges. 'bin' is between 0 and fNBins - 1.

Definition at line 392 of file TKDTreeBinning.cxx.

◆ GetBinMinDensity()

UInt_t TKDTreeBinning::GetBinMinDensity ( ) const

Return the bin with minimum density.

Definition at line 600 of file TKDTreeBinning.cxx.

◆ GetBinMinEdges()

const Double_t * TKDTreeBinning::GetBinMinEdges ( UInt_t bin ) const

Returns the bin's minimum edges. 'bin' is between 0 and fNBins - 1.

Definition at line 379 of file TKDTreeBinning.cxx.

◆ GetBinsEdges()

std::pair< const Double_t *, const Double_t * > TKDTreeBinning::GetBinsEdges ( ) const

Returns a pair of an array with all bins minimum and maximum edges.

Definition at line 369 of file TKDTreeBinning.cxx.

◆ GetBinsMaxEdges()

const Double_t * TKDTreeBinning::GetBinsMaxEdges ( ) const

Returns an array with all bins' maximum edges The edges are arranges as xmax_1,ymax_1, xmax_2,ymax_2,....xmax_{nbin},ymax_{nbin}.

Definition at line 359 of file TKDTreeBinning.cxx.

◆ GetBinsMinEdges()

const Double_t * TKDTreeBinning::GetBinsMinEdges ( ) const

Returns an array with all bins' minimum edges The edges are arranges as xmin_1,ymin_1, xmin_2,ymin_2,....xmin_{nbin},ymin_{nbin}.

Definition at line 349 of file TKDTreeBinning.cxx.

◆ GetBinVolume()

Double_t TKDTreeBinning::GetBinVolume ( UInt_t bin ) const

Returns the (hyper)volume of bin. 'bin' is between 0 and fNBins - 1.

Definition at line 487 of file TKDTreeBinning.cxx.

◆ GetBinWidth()

const Double_t * TKDTreeBinning::GetBinWidth ( UInt_t bin ) const

Returns a pointer to the vector of the bin widths.

'bin' is between 0 and fNBins - 1 Array must be deleted as "delete [] res"

Definition at line 570 of file TKDTreeBinning.cxx.

◆ GetDataMax()

Double_t TKDTreeBinning::GetDataMax ( UInt_t dim ) const

Returns the maximum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1.

Definition at line 464 of file TKDTreeBinning.cxx.

◆ GetDataMin()

Double_t TKDTreeBinning::GetDataMin ( UInt_t dim ) const

Returns the minimum of the data in the dim coordinate. 'dim' is between 0 and fDim - 1.

Definition at line 455 of file TKDTreeBinning.cxx.

◆ GetDim()

UInt_t TKDTreeBinning::GetDim ( ) const

Returns the number of dimensions.

Definition at line 423 of file TKDTreeBinning.cxx.

◆ GetDimData()

const Double_t * TKDTreeBinning::GetDimData ( UInt_t dim ) const

Definition at line 446 of file TKDTreeBinning.cxx.

◆ GetNBins()

UInt_t TKDTreeBinning::GetNBins ( ) const

Returns the number of bins.

Definition at line 418 of file TKDTreeBinning.cxx.

◆ GetOneDimBinEdges()

const double * TKDTreeBinning::GetOneDimBinEdges ( ) const

Returns a pointer to the vector of the bin edges for one dimensional binning only.

size of the vector is fNBins + 1 is the vector has been sorted in increasing bin edges N.B : if one does not call SortOneDimBinEdges the bins are not ordered

Definition at line 504 of file TKDTreeBinning.cxx.

◆ GetPointsInBin()

std::vector< std::vector< Double_t > > TKDTreeBinning::GetPointsInBin ( UInt_t bin ) const

Return the corresponding point belonging to the bin i.

Definition at line 640 of file TKDTreeBinning.cxx.

◆ GetTree()

TKDTreeID * TKDTreeBinning::GetTree ( ) const

Returns the kD-Tree structure of the binning.

Definition at line 438 of file TKDTreeBinning.cxx.

◆ IsA()

TClass * TKDTreeBinning::IsA ( ) const

inlineoverridevirtual

Returns: TClass describing current object

Reimplemented from TObject.

Definition at line 101 of file TKDTreeBinning.h.

◆ operator=()

TKDTreeBinning TKDTreeBinning::operator= ( TKDTreeBinning & bins )

private

Disallowed assign operator.

◆ ReadjustMaxBinEdges()

void TKDTreeBinning::ReadjustMaxBinEdges ( Double_t * binEdges )

private

Definition at line 328 of file TKDTreeBinning.cxx.

◆ ReadjustMinBinEdges()

void TKDTreeBinning::ReadjustMinBinEdges ( Double_t * binEdges )

private

Definition at line 299 of file TKDTreeBinning.cxx.

◆ SetBinMinMaxEdges()

void TKDTreeBinning::SetBinMinMaxEdges ( Double_t * binEdges )

private

Definition at line 266 of file TKDTreeBinning.cxx.

◆ SetBinsContent()

void TKDTreeBinning::SetBinsContent ( )

private

Definition at line 241 of file TKDTreeBinning.cxx.

◆ SetBinsEdges()

void TKDTreeBinning::SetBinsEdges ( )

private

Definition at line 250 of file TKDTreeBinning.cxx.

◆ SetCommonBinEdges()

void TKDTreeBinning::SetCommonBinEdges ( Double_t * binEdges )

private

Definition at line 278 of file TKDTreeBinning.cxx.

◆ SetData() [1/2]

void TKDTreeBinning::SetData ( const std::vector< double > & data )

private

Definition at line 223 of file TKDTreeBinning.cxx.

◆ SetData() [2/2]

void TKDTreeBinning::SetData ( Double_t * data )

private

Definition at line 210 of file TKDTreeBinning.cxx.

◆ SetNBins()

void TKDTreeBinning::SetNBins ( UInt_t bins )

Sets binning inner structure.

Definition at line 128 of file TKDTreeBinning.cxx.

◆ SetTreeData()

void TKDTreeBinning::SetTreeData ( )

private

Definition at line 235 of file TKDTreeBinning.cxx.

◆ SortBinsByDensity()

void TKDTreeBinning::SortBinsByDensity ( Bool_t sortAsc = kTRUE )

Sorts bins by their density.

Definition at line 158 of file TKDTreeBinning.cxx.

◆ SortOneDimBinEdges()

const Double_t * TKDTreeBinning::SortOneDimBinEdges ( Bool_t sortAsc = kTRUE )

Sort the one-dimensional bin edges and retuns a pointer to them.

Definition at line 515 of file TKDTreeBinning.cxx.

◆ Streamer()

void TKDTreeBinning::Streamer ( TBuffer & b )

overridevirtual

Stream a class object.

Reimplemented from TObject.

Definition at line 671 of file TKDTreeBinning.cxx.

◆ StreamerNVirtual()

void TKDTreeBinning::StreamerNVirtual ( TBuffer & ClassDef_StreamerNVirtual_b )

inline

Definition at line 101 of file TKDTreeBinning.h.

Friends And Related Symbol Documentation

◆ CompareAsc

friend struct CompareAsc

friend

! Predicate for ascending sort

Definition at line 47 of file TKDTreeBinning.h.

◆ CompareDesc

friend struct CompareDesc

friend

! Predicate for descending sort

Definition at line 49 of file TKDTreeBinning.h.

Member Data Documentation

◆ fBinMaxEdges

std::vector<Double_t> TKDTreeBinning::fBinMaxEdges

private

The maximum values for the bins' edges for each dimension.

Definition at line 34 of file TKDTreeBinning.h.

◆ fBinMinEdges

std::vector<Double_t> TKDTreeBinning::fBinMinEdges

private

The minimum values for the bins' edges for each dimension.

Definition at line 33 of file TKDTreeBinning.h.

◆ fBinsContent

std::vector<UInt_t> TKDTreeBinning::fBinsContent

private

Holds the contents of the bins.

Definition at line 45 of file TKDTreeBinning.h.

◆ fCheckedBinEdges

std::vector<std::vector<std::pair<Bool_t, Bool_t> > > TKDTreeBinning::fCheckedBinEdges

private

! Auxiliary structure for readjusting the bin edges. Flags if the bin edge was processed in the algorithm

Definition at line 41 of file TKDTreeBinning.h.

◆ fCommonBinEdges

std::vector<std::map<Double_t, std::vector<UInt_t> > > TKDTreeBinning::fCommonBinEdges

private

! Auxiliary structure for readjusting the bin edges. Keeps the common bin boundaries

Definition at line 42 of file TKDTreeBinning.h.

◆ fData

std::vector<Double_t> TKDTreeBinning::fData

private

[fDataSize*fDim] The data from which a KDTree partition is computed for binning

Definition at line 32 of file TKDTreeBinning.h.

◆ fDataBins

TKDTreeID* TKDTreeBinning::fDataBins

private

! The binning inner structure.

Definition at line 36 of file TKDTreeBinning.h.

◆ fDataSize

UInt_t TKDTreeBinning::fDataSize

private

The data size.

Definition at line 39 of file TKDTreeBinning.h.

◆ fDataThresholds

std::vector<std::pair<Double_t, Double_t> > TKDTreeBinning::fDataThresholds

private

Minimum and maximum data values.

Definition at line 40 of file TKDTreeBinning.h.

◆ fDim

UInt_t TKDTreeBinning::fDim

private

The data dimension.

Definition at line 38 of file TKDTreeBinning.h.

◆ fIndices

std::vector<UInt_t> TKDTreeBinning::fIndices

private

Index of the bins in the kd-tree (needed when bins are sorted)

Definition at line 35 of file TKDTreeBinning.h.

◆ fIsSorted

Bool_t TKDTreeBinning::fIsSorted

private

Flags if the bin edges are sorted densitywise (or by bin endges in case of 1-dim )

Definition at line 43 of file TKDTreeBinning.h.

◆ fIsSortedAsc

Bool_t TKDTreeBinning::fIsSortedAsc

private

Flags if the bin edges are sorted densitywise (or by bin-edge for 1D) in ascending order.

Definition at line 44 of file TKDTreeBinning.h.

◆ fNBins

UInt_t TKDTreeBinning::fNBins

private

The number of bins.

Definition at line 37 of file TKDTreeBinning.h.

Libraries for TKDTreeBinning:

[legend]

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

math/mathcore/inc/TKDTreeBinning.h
math/mathcore/src/TKDTreeBinning.cxx

Classes

Public Types

Public Member Functions

Static Public Member Functions

Private Member Functions

Private Attributes

Friends

Additional Inherited Members

Member Enumeration Documentation

◆ anonymous enum

Constructor & Destructor Documentation

◆ TKDTreeBinning() [1/4]

◆ TKDTreeBinning() [2/4]

◆ TKDTreeBinning() [3/4]

◆ TKDTreeBinning() [4/4]

◆ ~TKDTreeBinning()

Member Function Documentation

◆ Class()

◆ Class_Name()

◆ Class_Version()

◆ DeclFileName()

◆ FillBinData()

◆ FindBin()

◆ GetBinCenter()

◆ GetBinContent()

◆ GetBinDensity()

◆ GetBinEdges()

◆ GetBinMaxDensity()

◆ GetBinMaxEdges()

◆ GetBinMinDensity()

◆ GetBinMinEdges()

◆ GetBinsEdges()

◆ GetBinsMaxEdges()

◆ GetBinsMinEdges()

◆ GetBinVolume()

◆ GetBinWidth()

◆ GetDataMax()

◆ GetDataMin()

◆ GetDim()

◆ GetDimData()

◆ GetNBins()

◆ GetOneDimBinEdges()

◆ GetPointsInBin()

◆ GetTree()

◆ IsA()

◆ operator=()

◆ ReadjustMaxBinEdges()

◆ ReadjustMinBinEdges()

◆ SetBinMinMaxEdges()

◆ SetBinsContent()

◆ SetBinsEdges()

◆ SetCommonBinEdges()

◆ SetData() [1/2]

◆ SetData() [2/2]

◆ SetNBins()

◆ SetTreeData()

◆ SortBinsByDensity()

◆ SortOneDimBinEdges()

◆ Streamer()

◆ StreamerNVirtual()

Friends And Related Symbol Documentation

◆ CompareAsc

◆ CompareDesc

Member Data Documentation

◆ fBinMaxEdges

◆ fBinMinEdges

◆ fBinsContent

◆ fCheckedBinEdges

◆ fCommonBinEdges

◆ fData

◆ fDataBins

◆ fDataSize

◆ fDataThresholds

◆ fDim

◆ fIndices

◆ fIsSorted

◆ fIsSortedAsc

◆ fNBins