PLearn::SmoothedProbSparseMatrix Class Reference

#include <SmoothedProbSparseMatrix.h>

Inheritance diagram for PLearn::SmoothedProbSparseMatrix:

[legend]Collaboration diagram for PLearn::SmoothedProbSparseMatrix:

[legend]List of all members.

Public Member Functions
bool	checkCondProbIntegrity ()
	SmoothedProbSparseMatrix (int n_rows=0, int n_cols=0, string name="pXY", int mode=ROW_WISE, bool double_access=false)
void	normalizeCondLaplace (ProbSparseMatrix &nXY, bool clear_nXY=false)
void	normalizeCondBackoff (ProbSparseMatrix &nXY, real disc, Vec &bDist, bool clear_nXY, bool shadow)
string	getClassName () const
real	get (int i, int j)
void	write (PStream &out) const
void	read (PStream &in)
Protected Attributes
int	smoothingMethod
Vec	normalizationSum
Vec	backoffDist
Vec	backoffNormalization
Vec	discountedMass

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Constructor & Destructor Documentation

PLearn::SmoothedProbSparseMatrix::SmoothedProbSparseMatrix (  int  n_rows = 0, int  n_cols = 0, string  name = "pXY", int  mode = ROW_WISE, bool  double_access = false )

Definition at line 41 of file SmoothedProbSparseMatrix.cc. References mode, and smoothingMethod.

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Member Function Documentation

bool PLearn::SmoothedProbSparseMatrix::checkCondProbIntegrity (   )

Reimplemented from PLearn::ProbSparseMatrix. Definition at line 276 of file SmoothedProbSparseMatrix.cc. References backoffDist, backoffNormalization, discountedMass, normalizationSum, ROW_WISE, PLearn::TVec< T >::size(), smoothingMethod, and PLearn::sum(). Referenced by PLearn::GraphicalBiText::check_consitency().

real PLearn::SmoothedProbSparseMatrix::get (  int  i, int  j )  [virtual]

Reimplemented from PLearn::DoubleAccessSparseMatrix< real >. Definition at line 226 of file SmoothedProbSparseMatrix.cc. References backoffDist, backoffNormalization, discountedMass, normalizationSum, PLERROR, ROW_WISE, and smoothingMethod. Referenced by PLearn::GraphicalBiText::test_WSD().

string PLearn::SmoothedProbSparseMatrix::getClassName (   )  const [inline, virtual]

Reimplemented from PLearn::ProbSparseMatrix. Definition at line 69 of file SmoothedProbSparseMatrix.h. Referenced by read(), and write().

void PLearn::SmoothedProbSparseMatrix::normalizeCondBackoff (  ProbSparseMatrix &  nXY, real  disc, Vec &  bDist, bool  clear_nXY, bool  shadow )

Definition at line 106 of file SmoothedProbSparseMatrix.cc. References backoffDist, backoffNormalization, PLearn::TVec< T >::clear(), PLearn::DoubleAccessSparseMatrix< real >::clear(), COLUMN_WISE, discountedMass, PLearn::DoubleAccessSparseMatrix< real >::getCol(), PLearn::DoubleAccessSparseMatrix< real >::getHeight(), PLearn::DoubleAccessSparseMatrix< real >::getMode(), PLearn::DoubleAccessSparseMatrix< real >::getName(), PLearn::DoubleAccessSparseMatrix< real >::getRow(), PLearn::DoubleAccessSparseMatrix< real >::getWidth(), PLearn::DoubleAccessSparseMatrix< real >::isDoubleAccessible(), normalizationSum, PLERROR, PLearn::TVec< T >::resize(), ROW_WISE, PLearn::TVec< T >::size(), smoothingMethod, PLearn::DoubleAccessSparseMatrix< real >::sumCol(), and PLearn::DoubleAccessSparseMatrix< real >::sumRow(). Referenced by PLearn::GraphicalBiText::init_WSD(), and PLearn::GraphicalBiText::update_WSD_model().

void PLearn::SmoothedProbSparseMatrix::normalizeCondLaplace (  ProbSparseMatrix &  nXY, bool  clear_nXY = false )

Definition at line 52 of file SmoothedProbSparseMatrix.cc. References PLearn::DoubleAccessSparseMatrix< real >::clear(), COLUMN_WISE, PLearn::DoubleAccessSparseMatrix< real >::getCol(), PLearn::DoubleAccessSparseMatrix< real >::getHeight(), PLearn::DoubleAccessSparseMatrix< real >::getMode(), PLearn::DoubleAccessSparseMatrix< real >::getRow(), PLearn::DoubleAccessSparseMatrix< real >::getWidth(), PLearn::DoubleAccessSparseMatrix< real >::isDoubleAccessible(), normalizationSum, PLERROR, PLearn::TVec< T >::resize(), ROW_WISE, smoothingMethod, PLearn::DoubleAccessSparseMatrix< real >::sumCol(), and PLearn::DoubleAccessSparseMatrix< real >::sumRow().

void PLearn::SmoothedProbSparseMatrix::read (  PStream &  in  )  [virtual]

Reimplemented from PLearn::DoubleAccessSparseMatrix< real >. Definition at line 363 of file SmoothedProbSparseMatrix.cc. References backoffDist, backoffNormalization, discountedMass, PLearn::PStream::get(), getClassName(), PLearn::PStream::inmode, normalizationSum, PLERROR, read(), PLearn::PStream::skipBlanksAndCommentsAndSeparators(), and smoothingMethod.

void PLearn::SmoothedProbSparseMatrix::write (  PStream &  out  )  const [virtual]

Reimplemented from PLearn::DoubleAccessSparseMatrix< real >. Definition at line 334 of file SmoothedProbSparseMatrix.cc. References backoffDist, backoffNormalization, discountedMass, getClassName(), normalizationSum, PLearn::PStream::outmode, PLERROR, smoothingMethod, and PLearn::PStream::write().

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Member Data Documentation

Vec PLearn::SmoothedProbSparseMatrix::backoffDist [protected]

Definition at line 59 of file SmoothedProbSparseMatrix.h. Referenced by checkCondProbIntegrity(), get(), normalizeCondBackoff(), read(), and write().

Vec PLearn::SmoothedProbSparseMatrix::backoffNormalization [protected]

Definition at line 60 of file SmoothedProbSparseMatrix.h. Referenced by checkCondProbIntegrity(), get(), normalizeCondBackoff(), read(), and write().

Vec PLearn::SmoothedProbSparseMatrix::discountedMass [protected]

Definition at line 62 of file SmoothedProbSparseMatrix.h. Referenced by checkCondProbIntegrity(), get(), normalizeCondBackoff(), read(), and write().

Vec PLearn::SmoothedProbSparseMatrix::normalizationSum [protected]

Definition at line 57 of file SmoothedProbSparseMatrix.h. Referenced by checkCondProbIntegrity(), get(), normalizeCondBackoff(), normalizeCondLaplace(), read(), and write().

int PLearn::SmoothedProbSparseMatrix::smoothingMethod [protected]

Definition at line 54 of file SmoothedProbSparseMatrix.h. Referenced by checkCondProbIntegrity(), get(), normalizeCondBackoff(), normalizeCondLaplace(), read(), SmoothedProbSparseMatrix(), and write().

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

• SmoothedProbSparseMatrix.h
• SmoothedProbSparseMatrix.cc

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