PLearn::RowBufferedVMatrix Class Reference

#include <RowBufferedVMatrix.h>

Inheritance diagram for PLearn::RowBufferedVMatrix:

[legend]Collaboration diagram for PLearn::RowBufferedVMatrix:

[legend]List of all members.


Public Member Functions
	RowBufferedVMatrix ()
	RowBufferedVMatrix (int the_length, int the_width)
virtual real	get (int i, int j) const
	returns element (i,j)
virtual void	getRow (int i, Vec v) const
	copies row i into v (which must have appropriate length equal to the VMat's width)
virtual void	getSubRow (int i, int j, Vec v) const
	fills v with the subrow i laying between columns j (inclusive) and j+v.length() (exclusive)
virtual real	dot (int i1, int i2, int inputsize) const
virtual real	dot (int i, const Vec &v) const
	returns the result of the dot product between row i and the given vec (only v.length() first elements of row i are considered).
virtual void	makeDeepCopyFromShallowCopy (map< const void , void > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_ABSTRACT_OBJECT (RowBufferedVMatrix)
Protected Member Functions
virtual void	getNewRow (int i, const Vec &v) const =0
	This is the only method requiring implementation in subclasses.
Protected Attributes
int	current_row_index
Vec	current_row
int	other_row_index
	used by dot
Vec	other_row
Private Types
typedef VMatrix	inherited

Member Typedef Documentation

typedef VMatrix PLearn::RowBufferedVMatrix::inherited [private]

Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::SDBVMatrix, PLearn::AsciiVMatrix, PLearn::BootstrapVMatrix, PLearn::CenteredVMatrix, PLearn::CompactVMatrix, PLearn::CompressedVMatrix, PLearn::ConcatColumnsVMatrix, PLearn::CumVMatrix, PLearn::DatedJoinVMatrix, PLearn::DiskVMatrix, PLearn::ExtendedVMatrix, PLearn::FileVMatrix, PLearn::FilteredVMatrix, PLearn::FinancePreprocVMatrix, PLearn::GeneralizedOneHotVMatrix, PLearn::GetInputVMatrix, PLearn::JoinVMatrix, PLearn::JulianizeVMatrix, PLearn::KNNVMatrix, PLearn::LearnerProcessedVMatrix, PLearn::LocalNeighborsDifferencesVMatrix, PLearn::MovingAverageVMatrix, PLearn::MultiInstanceVMatrix, PLearn::OneHotVMatrix, PLearn::PairsVMatrix, PLearn::PLearnerOutputVMatrix, PLearn::PrecomputedVMatrix, PLearn::ProcessingVMatrix, PLearn::RegularGridVMatrix, PLearn::RemapLastColumnVMatrix, PLearn::RemoveDuplicateVMatrix, PLearn::RowsSubVMatrix, PLearn::SelectColumnsVMatrix, PLearn::SelectRowsVMatrix, PLearn::SortRowsVMatrix, PLearn::SourceVMatrix, PLearn::SparseVMatrix, PLearn::SubInputVMatrix, PLearn::ThresholdVMatrix, PLearn::TransposeVMatrix, PLearn::UniformizeVMatrix, PLearn::UpsideDownVMatrix, PLearn::VecExtendedVMatrix, PLearn::PreprocessingVMatrix, and PLearn::TextSenseSequenceVMatrix.
Definition at line 60 of file RowBufferedVMatrix.h.

Constructor & Destructor Documentation

PLearn::RowBufferedVMatrix::RowBufferedVMatrix ( )

Definition at line 59 of file RowBufferedVMatrix.cc.
References current_row_index, and other_row_index.

PLearn::RowBufferedVMatrix::RowBufferedVMatrix ( int the_length,

int the_width

)

Definition at line 53 of file RowBufferedVMatrix.cc.
References current_row_index, and other_row_index.

Member Function Documentation

real PLearn::RowBufferedVMatrix::dot ( int i,

const Vec & v

) const [virtual]

returns the result of the dot product between row i and the given vec (only v.length() first elements of row i are considered).

Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::CompactVMatrix, PLearn::ConcatColumnsVMatrix, PLearn::OneHotVMatrix, PLearn::SelectRowsVMatrix, and PLearn::SparseVMatrix.
Definition at line 158 of file RowBufferedVMatrix.cc.
References current_row, current_row_index, PLearn::dot(), getNewRow(), PLearn::TVec< T >::length(), PLearn::TVec< T >::resize(), and PLearn::TVec< T >::subVec().

real PLearn::RowBufferedVMatrix::dot ( int i1,

int i2,

int inputsize

) const [virtual]

returns the dot product between row i1 and row i2 (considering only the inputsize first elements). The default version in VMatrix is somewhat inefficient, as it repeatedly calls get(i,j) The default version in RowBufferedVMatrix is a little better as it buffers the 2 Vecs between calls in case one of them is needed again. But the real strength of this method is for specialised and efficient versions in subbclasses. This method is typically used by SmartKernels so that they can compute kernel values between input samples efficiently.
Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::CompactVMatrix, PLearn::ConcatColumnsVMatrix, PLearn::OneHotVMatrix, PLearn::SelectRowsVMatrix, and PLearn::SparseVMatrix.
Definition at line 106 of file RowBufferedVMatrix.cc.
References current_row, current_row_index, PLearn::dot(), getNewRow(), other_row, other_row_index, PLearn::pownorm(), PLearn::TVec< T >::resize(), and PLearn::TVec< T >::subVec().

real PLearn::RowBufferedVMatrix::get ( int i,

int j

) const [virtual]

returns element (i,j)

Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::SelectColumnsVMatrix, and PLearn::SelectRowsVMatrix.
Definition at line 66 of file RowBufferedVMatrix.cc.
References current_row, current_row_index, getNewRow(), and PLearn::TVec< T >::resize().

virtual void PLearn::RowBufferedVMatrix::getNewRow ( int i,

const Vec & v

) const [protected, pure virtual]

This is the only method requiring implementation in subclasses.

Implemented in PLearn::AutoSDBVMatrix, PLearn::AsciiVMatrix, PLearn::CenteredVMatrix, PLearn::CompactVMatrix, PLearn::CompressedVMatrix, PLearn::ConcatColumnsVMatrix, PLearn::CumVMatrix, PLearn::DatedJoinVMatrix, PLearn::DiskVMatrix, PLearn::ExtendedVMatrix, PLearn::FileVMatrix, PLearn::FilteredVMatrix, PLearn::FinancePreprocVMatrix, PLearn::GeneralizedOneHotVMatrix, PLearn::JoinVMatrix, PLearn::JulianizeVMatrix, PLearn::KNNVMatrix, PLearn::LearnerProcessedVMatrix, PLearn::LocalNeighborsDifferencesVMatrix, PLearn::MultiInstanceVMatrix, PLearn::OneHotVMatrix, PLearn::PairsVMatrix, PLearn::PLearnerOutputVMatrix, PLearn::PrecomputedVMatrix, PLearn::ProcessingVMatrix, PLearn::RegularGridVMatrix, PLearn::RemapLastColumnVMatrix, PLearn::SelectColumnsVMatrix, PLearn::SelectRowsVMatrix, PLearn::SourceVMatrix, PLearn::SparseVMatrix, PLearn::SubInputVMatrix, PLearn::ThresholdVMatrix, PLearn::TransposeVMatrix, PLearn::UniformizeVMatrix, PLearn::VecExtendedVMatrix, PLearn::PreprocessingVMatrix, and PLearn::TextSenseSequenceVMatrix.
Referenced by dot(), get(), getRow(), and getSubRow().

void PLearn::RowBufferedVMatrix::getRow ( int i,

Vec v

) const [virtual]

copies row i into v (which must have appropriate length equal to the VMat's width)

Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::SDBVMatrix, and PLearn::IntStreamVMatrix.
Definition at line 80 of file RowBufferedVMatrix.cc.
References PLearn::TVec< T >::copyFrom(), current_row, current_row_index, PLearn::TVec< T >::data(), getNewRow(), and PLearn::TVec< T >::resize().
Referenced by PLearn::CompactVMatrix::append().

void PLearn::RowBufferedVMatrix::getSubRow ( int i,

int j,

Vec v

) const [virtual]

fills v with the subrow i laying between columns j (inclusive) and j+v.length() (exclusive)

Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::SelectColumnsVMatrix, and PLearn::SelectRowsVMatrix.
Definition at line 92 of file RowBufferedVMatrix.cc.
References PLearn::TVec< T >::copyFrom(), current_row, current_row_index, PLearn::TVec< T >::data(), getNewRow(), PLearn::TVec< T >::length(), and PLearn::TVec< T >::resize().

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

Transforms a shallow copy into a deep copy.

Reimplemented from PLearn::VMatrix.
Reimplemented in PLearn::CenteredVMatrix, PLearn::CompactVMatrix, PLearn::CumVMatrix, PLearn::DatedJoinVMatrix, PLearn::FileVMatrix, PLearn::FilteredVMatrix, PLearn::FinancePreprocVMatrix, PLearn::GetInputVMatrix, PLearn::JulianizeVMatrix, PLearn::KNNVMatrix, PLearn::LearnerProcessedVMatrix, PLearn::LocalNeighborsDifferencesVMatrix, PLearn::MovingAverageVMatrix, PLearn::MultiInstanceVMatrix, PLearn::PLearnerOutputVMatrix, PLearn::PrecomputedVMatrix, PLearn::ProcessingVMatrix, PLearn::RegularGridVMatrix, PLearn::RemoveDuplicateVMatrix, PLearn::RowsSubVMatrix, PLearn::SelectColumnsVMatrix, PLearn::SelectRowsVMatrix, PLearn::SortRowsVMatrix, PLearn::SourceVMatrix, PLearn::SubInputVMatrix, PLearn::TransposeVMatrix, PLearn::UpsideDownVMatrix, and PLearn::TextSenseSequenceVMatrix.
Definition at line 172 of file RowBufferedVMatrix.cc.
References current_row, PLearn::deepCopyField(), and other_row.

PLearn::RowBufferedVMatrix::PLEARN_DECLARE_ABSTRACT_OBJECT ( RowBufferedVMatrix )

Member Data Documentation

Vec PLearn::RowBufferedVMatrix::current_row [mutable, protected]

Definition at line 65 of file RowBufferedVMatrix.h.
Referenced by dot(), get(), getRow(), getSubRow(), and makeDeepCopyFromShallowCopy().

int PLearn::RowBufferedVMatrix::current_row_index [mutable, protected]

Definition at line 64 of file RowBufferedVMatrix.h.
Referenced by dot(), get(), getRow(), and getSubRow().

Vec PLearn::RowBufferedVMatrix::other_row [mutable, protected]

Definition at line 67 of file RowBufferedVMatrix.h.
Referenced by dot(), and makeDeepCopyFromShallowCopy().

int PLearn::RowBufferedVMatrix::other_row_index [mutable, protected]

used by dot

Definition at line 66 of file RowBufferedVMatrix.h.
Referenced by dot().

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

Generated on Tue Aug 17 16:26:38 2004 for PLearn by

1.3.7

PLearn::RowBufferedVMatrix Class Reference

Public Member Functions

Protected Member Functions

Protected Attributes

Private Types

Member Typedef Documentation

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation