Detailed Description

template<class T>
singleton shogun::SGSparseMatrix< T >

Definition at line 27 of file base/Parameter.h.

Inheritance diagram for SGSparseMatrix< T >:

Public Member Functions
	SGSparseMatrix ()

	SGSparseMatrix (SGSparseVector< T > *vecs, index_t num_feat, index_t num_vec, bool ref_counting=true)

	SGSparseMatrix (index_t num_feat, index_t num_vec, bool ref_counting=true)

	SGSparseMatrix (SGMatrix< T > dense)

	SGSparseMatrix (const SGSparseMatrix &orig)

virtual	~SGSparseMatrix ()

const SGSparseVector< T > &	operator[] (index_t index) const

SGSparseVector< T > &	operator[] (index_t index)

SGSparseMatrix< T >	get ()

const SGVector< T >	operator* (SGVector< T > v) const

template<class ST >
const SGVector< T >	operator* (SGVector< ST > v) const

const T	operator() (index_t i_row, index_t i_col) const

T &	operator() (index_t i_row, index_t i_col)

void	load (CFile *loader)

SGVector< float64_t >	load_with_labels (CLibSVMFile *libsvm_file, bool do_sort_features=true)

void	save (CFile *saver)

void	save_with_labels (CLibSVMFile *saver, SGVector< float64_t > labels)

SGSparseMatrix< T >	get_transposed ()

void	from_dense (SGMatrix< T > full)

void	sort_features ()

template<>
const SGVector< complex128_t >	operator* (SGVector< float64_t > v) const

template<>
const SGVector< complex128_t >	operator* (SGVector< int32_t > v) const

template<>
const SGVector< float64_t >	operator* (SGVector< int32_t > v) const

template<>
void	load (CFile *loader)

template<>
SGVector< float64_t >	load_with_labels (CLibSVMFile *file, bool do_sort_features)

template<>
void	save (CFile *saver)

template<>
void	save_with_labels (CLibSVMFile *saver, SGVector< float64_t > labels)

int32_t	ref_count ()

Public Attributes
index_t	num_vectors
	total number of vectors More...

index_t	num_features
	total number of features More...

SGSparseVector< T > *	sparse_matrix
	array of sparse vectors of size num_vectors More...

Protected Member Functions
virtual void	copy_data (const SGReferencedData &orig)

virtual void	init_data ()

virtual void	free_data ()

void	copy_refcount (const SGReferencedData &orig)

int32_t	ref ()

int32_t	unref ()

Constructor & Destructor Documentation

SGSparseMatrix ( )

default constructor

Definition at line 11 of file SGSparseMatrix.cpp.

SGSparseMatrix	(	SGSparseVector< T > *	vecs,
		index_t	num_feat,
		index_t	num_vec,
		bool	ref_counting = `true`
	)

constructor for setting params

Definition at line 17 of file SGSparseMatrix.cpp.

SGSparseMatrix	(	index_t	num_feat,
		index_t	num_vec,
		bool	ref_counting = `true`
	)

constructor to create new matrix in memory

Definition at line 26 of file SGSparseMatrix.cpp.

SGSparseMatrix ( SGMatrix< T > dense )

constructor to create new sparse matrix from a dense one

Parameters

dense dense matrix to be converted

Definition at line 34 of file SGSparseMatrix.cpp.

SGSparseMatrix ( const SGSparseMatrix< T > & orig )

copy constructor

Definition at line 40 of file SGSparseMatrix.cpp.

~SGSparseMatrix ( )

virtual

destructor

Definition at line 46 of file SGSparseMatrix.cpp.

Member Function Documentation

void copy_data ( const SGReferencedData & orig )

protectedvirtual

copy data

Implements SGReferencedData.

Definition at line 159 of file SGSparseMatrix.cpp.

void copy_refcount ( const SGReferencedData & orig )

protectedinherited

copy refcount

Definition at line 55 of file SGReferencedData.cpp.

void free_data ( )

protectedvirtual

free data

Implements SGReferencedData.

Definition at line 175 of file SGSparseMatrix.cpp.

void from_dense ( SGMatrix< T > full )

create a sparse matrix from a dense one

Parameters

full	the dense matrix to create the sparse one from

Definition at line 232 of file SGSparseMatrix.cpp.

SGSparseMatrix<T> get ( )

get the sparse matrix (no copying is done here)

Returns: the refcount increased matrix

Definition at line 75 of file SGSparseMatrix.h.

SGSparseMatrix< T > get_transposed ( )

return the transposed of the sparse matrix

Definition at line 182 of file SGSparseMatrix.cpp.

void init_data ( )

protectedvirtual

init data

Implements SGReferencedData.

Definition at line 167 of file SGSparseMatrix.cpp.

void load ( CFile * loader )

Definition at line 102 of file SGSparseMatrix.cpp.

void load ( CFile * loader )

load sparse matrix from file

Parameters

loader File object via which to load data

Definition at line 91 of file SGSparseMatrix.cpp.

SGVector< float64_t > load_with_labels	(	CLibSVMFile *	file,
		bool	do_sort_features
	)

Definition at line 123 of file SGSparseMatrix.cpp.

SGVector< float64_t > load_with_labels	(	CLibSVMFile *	libsvm_file,
		bool	do_sort_features = `true`
	)

load sparse matrix from libsvm file together with labels

Parameters

libsvm_file	the libsvm file
do_sort_features	whether to sort the vector indices (such that they are in ascending order) after loading

Returns: label vector

Definition at line 107 of file SGSparseMatrix.cpp.

const T operator()	(	index_t	i_row,
		index_t	i_col
	)		const

operator overload for sparse-matrix read only access

Parameters

i_row
i_col

Definition at line 106 of file SGSparseMatrix.h.

T& operator()	(	index_t	i_row,
		index_t	i_col
	)

operator overload for sparse-matrix r/w access

Parameters

i_row
i_col

Definition at line 127 of file SGSparseMatrix.h.

const SGVector< complex128_t > operator* ( SGVector< float64_t > v ) const

Definition at line 52 of file SGSparseMatrix.cpp.

const SGVector< complex128_t > operator* ( SGVector< int32_t > v ) const

Definition at line 65 of file SGSparseMatrix.cpp.

const SGVector< float64_t > operator* ( SGVector< int32_t > v ) const

Definition at line 78 of file SGSparseMatrix.cpp.

const SGVector<T> operator* ( SGVector< T > v ) const

compute sparse-matrix dense-vector multiplication

Parameters

v	the dense-vector to be multiplied with

Returns: the result vector \(Q*v\), Q being this sparse matrix

Definition at line 84 of file SGSparseMatrix.h.

const SGVector<T> operator* ( SGVector< ST > v ) const

compute sparse-matrix dense-vector multiplication

Parameters

v	the dense-vector to be multiplied with

Returns: the result vector \(Q*v\), Q being this sparse matrix

const SGSparseVector<T>& operator[] ( index_t index ) const

index access operator

Definition at line 59 of file SGSparseMatrix.h.

SGSparseVector<T>& operator[] ( index_t index )

index access operator

Definition at line 65 of file SGSparseMatrix.h.

int32_t ref ( )

protectedinherited

increase reference counter

Returns: reference count

Definition at line 64 of file SGReferencedData.cpp.

int32_t ref_count ( )

inherited

display reference counter

Returns: reference count

Definition at line 41 of file SGReferencedData.cpp.

void save ( CFile * saver )

Definition at line 137 of file SGSparseMatrix.cpp.

void save ( CFile * saver )

save sparse matrix to file

Parameters

saver File object via which to save data

Definition at line 127 of file SGSparseMatrix.cpp.

void save_with_labels	(	CLibSVMFile *	saver,
		SGVector< float64_t >	labels
	)

Definition at line 155 of file SGSparseMatrix.cpp.

void save_with_labels	(	CLibSVMFile *	saver,
		SGVector< float64_t >	labels
	)

save sparse matrix together with labels to file

Parameters

saver	File object via which to save data
labels	label vector

Definition at line 142 of file SGSparseMatrix.cpp.

void sort_features ( )

sort the indices of the sparse matrix such that they are in ascending order

Definition at line 224 of file SGSparseMatrix.cpp.

int32_t unref ( )

protectedinherited

decrement reference counter and deallocate object if refcount is zero before or after decrementing it

Returns: reference count

Definition at line 84 of file SGReferencedData.cpp.

Member Data Documentation

index_t num_features

total number of features

Definition at line 207 of file SGSparseMatrix.h.

index_t num_vectors

total number of vectors

Definition at line 204 of file SGSparseMatrix.h.

SGSparseVector<T>* sparse_matrix

array of sparse vectors of size num_vectors

Definition at line 210 of file SGSparseMatrix.h.

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

Detailed Description

template<class T> singleton shogun::SGSparseMatrix< T >

Public Member Functions

Public Attributes

Protected Member Functions

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

template<class T>
singleton shogun::SGSparseMatrix< T >