PLearn::KNNVMatrix Class Reference

#include <KNNVMatrix.h>

Inheritance diagram for PLearn::KNNVMatrix:

[legend]Collaboration diagram for PLearn::KNNVMatrix:

[legend]List of all members.

Public Member Functions
	KNNVMatrix ()
virtual void	build ()
	simply calls inherited::build() then build_()
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (KNNVMatrix)
Public Attributes
VMat	k_nn_mat
Ker	kernel_pij
int	knn
bool	report_progress
Protected Member Functions
int	getSourceIndexOf (int i, int &i_ref, int &i_n) const
	Return the index in the source matrix of the sample number i in this matrix.
int	getTag (int p) const
	Return the tag of the sample number p in a bag: p == 0 => 1 p == knn-1 => 2 otherwise => 0 (If knn == 1, always return 3).
virtual void	getNewRow (int i, const Vec &v) const
	Needed because it's a SourceVMatrix.
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Protected Attributes
Mat	nn
	Store the nearest neighbours of each point.
Mat	pij
	Store the pij weights, if a kernel_pij is provided.
Private Types
typedef SourceVMatrix	inherited
Private Member Functions
void	build_ ()
	This does the actual building.
Private Attributes
Vec	source_row
	Used to store a row of the source VMatrix.

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Member Typedef Documentation

typedef SourceVMatrix PLearn::KNNVMatrix::inherited [private]

Reimplemented from PLearn::SourceVMatrix. Definition at line 58 of file KNNVMatrix.h.

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Constructor & Destructor Documentation

PLearn::KNNVMatrix::KNNVMatrix (   )

Definition at line 54 of file KNNVMatrix.cc.

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Member Function Documentation

void PLearn::KNNVMatrix::build (   )  [virtual]

simply calls inherited::build() then build_() Reimplemented from PLearn::SourceVMatrix. Definition at line 102 of file KNNVMatrix.cc. References build_().

void PLearn::KNNVMatrix::build_ (   )  [private]

This does the actual building. Reimplemented from PLearn::SourceVMatrix. Definition at line 111 of file KNNVMatrix.cc. References PLearn::Kernel::build(), PLearn::Kernel::computeGramMatrix(), PLearn::Kernel::computeNeighbourMatrixFromDistanceMatrix(), PLearn::VMat::getSubRow(), PLearn::PP< T >::isNull(), k, k_nn_mat, kernel_pij, knn, PLearn::TVec< T >::length(), PLearn::VMat::length(), nn, pij, PLERROR, PLWARNING, PLearn::Kernel::report_progress, report_progress, PLearn::TMat< T >::resize(), PLearn::TMat< T >::row(), PLearn::DistanceKernel::setDataForKernelMatrix(), PLearn::SourceVMatrix::setMetaInfoFromSource(), PLearn::sum(), and PLearn::VMat::width(). Referenced by build().

void PLearn::KNNVMatrix::declareOptions (  OptionList &  ol  )  [static, protected]

Declares this class' options. Reimplemented from PLearn::SourceVMatrix. Definition at line 75 of file KNNVMatrix.cc. References PLearn::declareOption(), and PLearn::OptionList.

void PLearn::KNNVMatrix::getNewRow (  int  i, const Vec &  v )  const [protected, virtual]

Needed because it's a SourceVMatrix. Reimplemented from PLearn::SourceVMatrix. Definition at line 304 of file KNNVMatrix.cc. References getSourceIndexOf(), getTag(), PLearn::VMatrix::inputsize(), kernel_pij, pij, PLearn::TVec< T >::resize(), source_row, PLearn::TVec< T >::subVec(), PLearn::VMatrix::targetsize(), PLearn::VMatrix::weightsize(), and PLearn::VMat::width().

int PLearn::KNNVMatrix::getSourceIndexOf (  int  i, int &  i_ref, int &  i_n )  const [inline, protected]

Return the index in the source matrix of the sample number i in this matrix. Also return in i_n the neighbour rank, and in i_ref the reference point. Definition at line 294 of file KNNVMatrix.cc. References knn, and nn. Referenced by getNewRow().

int PLearn::KNNVMatrix::getTag (  int  p  )  const [inline, protected]

Return the tag of the sample number p in a bag: p == 0 => 1 p == knn-1 => 2 otherwise => 0 (If knn == 1, always return 3). Definition at line 333 of file KNNVMatrix.cc. References knn. Referenced by getNewRow().

void PLearn::KNNVMatrix::makeDeepCopyFromShallowCopy (  map< const void *, void * > &  copies  )  [virtual]

Transforms a shallow copy into a deep copy. Reimplemented from PLearn::SourceVMatrix. Definition at line 268 of file KNNVMatrix.cc. References PLearn::deepCopyField(), kernel_pij, nn, pij, PLWARNING, and source_row.

PLearn::KNNVMatrix::PLEARN_DECLARE_OBJECT (  KNNVMatrix   )

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Member Data Documentation

VMat PLearn::KNNVMatrix::k_nn_mat

Definition at line 82 of file KNNVMatrix.h. Referenced by build_().

Ker PLearn::KNNVMatrix::kernel_pij

Definition at line 83 of file KNNVMatrix.h. Referenced by build_(), getNewRow(), and makeDeepCopyFromShallowCopy().

int PLearn::KNNVMatrix::knn

Definition at line 84 of file KNNVMatrix.h. Referenced by build_(), getSourceIndexOf(), and getTag().

Mat PLearn::KNNVMatrix::nn [protected]

Store the nearest neighbours of each point. Definition at line 71 of file KNNVMatrix.h. Referenced by build_(), getSourceIndexOf(), and makeDeepCopyFromShallowCopy().

Mat PLearn::KNNVMatrix::pij [protected]

Store the pij weights, if a kernel_pij is provided. Definition at line 74 of file KNNVMatrix.h. Referenced by build_(), getNewRow(), and makeDeepCopyFromShallowCopy().

bool PLearn::KNNVMatrix::report_progress

Definition at line 85 of file KNNVMatrix.h. Referenced by build_().

Vec PLearn::KNNVMatrix::source_row [mutable, private]

Used to store a row of the source VMatrix. Definition at line 61 of file KNNVMatrix.h. Referenced by getNewRow(), and makeDeepCopyFromShallowCopy().

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

• KNNVMatrix.h
• KNNVMatrix.cc

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