A class to store two-dimensional data. More...

#include <DataMatrixSP.hpp>

Public Member Functions
void	abs ()
	Sets all elements to their absolute value. More...

void	add (const DataMatrixSP &matr)
	Adds the values from another DataMatrixSP to the current values. More...

void	addReduce (DataVectorSP &reduction)
	Reduce the DataMatrixSP along the columns by adding all entries in one row. More...

void	addReduce (DataVectorSP &reduction, DataVectorSP &beta, size_t start_beta)
	Reduce the DataMatrixSP along the columns by adding all entries in one row. More...

void	addSize (size_t inc_nrows)
	Reserves memory for potentially inc_nrows new rows; the actual number of rows remains unchanged. More...

size_t	appendRow ()
	Appends a new row and returns index of it. More...

size_t	appendRow (const DataVectorSP &vec)
	Appends a new row with data contained in DataVectorSP vec and returns index of new row. More...

void	componentwise_div (const DataMatrixSP &matr)
	Divides the current DataMatrixSP component-wise by another DataMatrixSP. More...

void	componentwise_mult (const DataMatrixSP &matr)
	Multiplies the current DataMatrixSP component-wise with another DataMatrixSP. More...

void	copyFrom (const DataMatrixSP &matr)
	Copies the data from another DataMatrixSP matr. More...

	DataMatrixSP (size_t nrows, size_t ncols)
	Create a two-dimensional DataMatrixSP with nrows rows and ncols columns (uninitialized values). More...

	DataMatrixSP (size_t nrows, size_t ncols, float value)
	Create a two-dimensional DataMatrixSP with nrows rows and ncols columns and initializes all elements with the same value. More...

	DataMatrixSP (const DataMatrixSP &matr)
	Create a new DataMatrixSP that is a copy of matr. More...

	DataMatrixSP (float *input, size_t nrows, size_t ncols)
	Create a new DataMatrixSP from a float array. More...

void	expand (const DataVectorSP &expand)
	expands a given DataVectorSP into a DataMatrixSP. More...

float	get (size_t row, size_t col) const
	Returns the value of the element at position [row,col]. More...

void	getColumn (size_t col, DataVectorSP &vec) const
	Copies the values of a column to the DataVectorSP vec. More...

size_t	getInc () const
	Get the current number of rows by which the DataMatrixSP is extended, if appendRow() is called and no unused rows are left. More...

size_t	getNcols () const
	Returns the number of columns of the DataMatrixSP. More...

size_t	getNrows () const
	Returns the number of rows of the DataMatrixSP. More...

size_t	getNumberNonZero () const
	Determines the number of non-zero elements in the vector. More...

float *	getPointer ()
	Returns pointer to float array containing underlying data. More...

const float *	getPointer () const
	Returns const pointer to float array containing underlying data. More...

void	getRow (size_t row, DataVectorSP &vec) const
	Copies the values of a row to the DataVectorSP vec. More...

void	getRow (size_t row, std::vector< float > &vec) const
	Copies the values of a row to the std::vector vec. More...

size_t	getSize () const
	Returns the total number of (used) elements, i.e., getNrows()*getNCols() More...

size_t	getUnused () const
	Returns the number of unused rows. More...

float	max (size_t col) const
	Returns the maximum value of column col. More...

float	max () const
	Returns the maximum over all entries. More...

float	min (size_t col) const
	Returns the minimum value of column col. More...

float	min () const
	Returns the minimum over all entries. More...

void	minmax (size_t col, float min, float max) const
	Determines minimum and maximum of column col. More...

void	minmax (float min, float max) const
	Determines minimum and maximum over all entries. More...

void	mult (const DataVectorSP &x, DataVectorSP &y)
	Multiplies the matrix with a vector x and stores the result in another vector y. More...

void	mult (float scalar)
	Multiplies all elements by a constant factor. More...

void	normalizeDimension (size_t d)
	Normalizes the d-th dimension (entries in the d-th column) to \([0,1]\). More...

void	normalizeDimension (size_t d, float border)
	Normalizes the d-th dimension (entries in the d-th column) to \([border,1-border]\). More...

float &	operator() (size_t row, size_t col)
	Returns the value of the element at position [row,col]. More...

const float &	operator() (size_t row, size_t col) const
	Returns the value of the element at position [row,col]. More...

DataMatrixSP &	operator= (const DataMatrixSP &matr)
	Copies the data from another DataMatrixSP. More...

void	resize (size_t nrows)
	Resizes the DataMatrixSP to nrows rows. More...

void	resize (size_t nrows, size_t ncols)
	Resizes the DataMatrixSP to nrows rows and ncols columns. More...

void	resizeZero (size_t nrows)
	Resizes the DataMatrixSP to nrows rows. More...

void	resizeZero (size_t nrows, size_t ncols)
	Resizes the DataMatrixSP to nrows rows and ncols columns. More...

void	set (size_t row, size_t col, float value)
	Sets the element at position [row,col] to value. More...

void	setAll (float value)
	Sets all entries of DataMatrixSP to value. More...

void	setColumn (size_t col, const DataVectorSP &vec)
	Sets a column of the DataMatrixSP to the values of a DataVectorSP vec. More...

void	setInc (size_t inc_rows)
	Sets the current number of rows by which the DataMatrixSP is extended, if appendRow() is called and no unused rows are left. More...

void	setRow (size_t row, const DataVectorSP &vec)
	Sets a row of the DataMatrixSP to the values of a DataVectorSP vec. More...

void	sqr ()
	Squares all elements of the DataMatrixSP. More...

void	sqrt ()
	Takes the square root of all elements of the DataMatrixSP. More...

void	sub (const DataMatrixSP &matr)
	Subtracts the values from another DataMatrixSP of the current values. More...

float	sum () const
	Returns the sum of all elements. More...

void	toString (std::string &text) const
	Writes the data stored in the DataMatrixSP into a string. More...

std::string	toString () const
	Returns a description of the DataMatrixSP as a string. More...

void	transpose ()
	Transposes this DataMatrixSP. More...

virtual	~DataMatrixSP ()
	Destructor. More...

Detailed Description

A class to store two-dimensional data.

Typically, DataMatrixSP would contain a set of (d-dimensional) data or evaluation points, i.e., the DataMatrixSP consists of d columns, and each row is one of the points. Thus, typical functionality like obtaining the maximum for a certain dimension (or attribute), or normalizing all data points to the unit interval for a certain dimension are provided.

This is an re-implementation of the standard DataMatrix for single precision floating point numbers in order to increase support for GPUs.

Constructor & Destructor Documentation

◆ DataMatrixSP() [1/4]

sgpp::base::DataMatrixSP::DataMatrixSP	(	size_t	nrows,
		size_t	ncols
	)

Create a two-dimensional DataMatrixSP with nrows rows and ncols columns (uninitialized values).

Parameters

nrows	Number of rows
ncols	Number of columns

◆ DataMatrixSP() [2/4]

sgpp::base::DataMatrixSP::DataMatrixSP	(	size_t	nrows,
		size_t	ncols,
		float	value
	)

Create a two-dimensional DataMatrixSP with nrows rows and ncols columns and initializes all elements with the same value.

Parameters

nrows	Number of rows
ncols	Number of columns
value	Value for all entries

References setAll().

◆ DataMatrixSP() [3/4]

sgpp::base::DataMatrixSP::DataMatrixSP ( const DataMatrixSP & matr )

Create a new DataMatrixSP that is a copy of matr.

Parameters

matr	Reference to another instance of DataMatrixSP

◆ DataMatrixSP() [4/4]

sgpp::base::DataMatrixSP::DataMatrixSP	(	float *	input,
		size_t	nrows,
		size_t	ncols
	)

Create a new DataMatrixSP from a float array.

The float array contains the entries row-wise: x0_0,x0_1,...,x0_ncol-1, x1_0,x1_1,... ... xnrow_0, xnrow_1,...,xnrow_ncol-1

Parameters

input	float array that contains the data
nrows	number of rows
ncols	number of columns

◆ ~DataMatrixSP()

sgpp::base::DataMatrixSP::~DataMatrixSP ( )

virtual

Destructor.

Referenced by setInc().

Member Function Documentation

◆ abs()

void sgpp::base::DataMatrixSP::abs ( )

Sets all elements to their absolute value.

References python.statsfileInfo::i.

Referenced by set().

◆ add()

void sgpp::base::DataMatrixSP::add ( const DataMatrixSP & matr )

Adds the values from another DataMatrixSP to the current values.

Modifies the current values.

Parameters

matr	The DataMatrixSP which is added to the current values

References python.statsfileInfo::i.

Referenced by set().

◆ addReduce() [1/2]

void sgpp::base::DataMatrixSP::addReduce ( DataVectorSP & reduction )

Reduce the DataMatrixSP along the columns by adding all entries in one row.

Parameters

reduction DataVectorSP into which the reduce columns are stored

References sgpp::base::DataVectorSP::getSize(), python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, sgpp::base::DataVectorSP::set(), and analyse_erg::tmp.

Referenced by set().

◆ addReduce() [2/2]

void sgpp::base::DataMatrixSP::addReduce	(	DataVectorSP &	reduction,
		DataVectorSP &	beta,
		size_t	start_beta
	)

Reduce the DataMatrixSP along the columns by adding all entries in one row.

Parameters

reduction	DataVectorSP to which the reduce columns are added
beta	vector with length of number of columns beta[i] is multiplied to each element row[j][i]
start_beta	where to start using the beta coefficients

References sgpp::base::DataVectorSP::getSize(), python.statsfileInfo::i, python.utils.statsfile2gnuplot::j, sgpp::base::DataVectorSP::set(), and analyse_erg::tmp.

◆ addSize()

void sgpp::base::DataMatrixSP::addSize ( size_t inc_nrows )

Reserves memory for potentially inc_nrows new rows; the actual number of rows remains unchanged.

Corresponds to a resize to nrows+inc_nrows new rows while leaving the current matrix' size unchanged.

Parameters

inc_nrows Number of additional rows for which storage is to be reserved.

Referenced by appendRow().

◆ appendRow() [1/2]

size_t sgpp::base::DataMatrixSP::appendRow ( )

Appends a new row and returns index of it.

If the new row does not fit into the reserved memory, reserves memory for getIncRows() additional rows.

Returns: Index of new row

References addSize().

Referenced by appendRow().

◆ appendRow() [2/2]

size_t sgpp::base::DataMatrixSP::appendRow ( const DataVectorSP & vec )

Appends a new row with data contained in DataVectorSP vec and returns index of new row.

If the new row does not fit into the reserved memory, reserves memory for getIncRows() additional rows.

Parameters

vec	DataVectorSP (length has to match getNcols()) with data

Returns: Index of new row

References appendRow(), sgpp::base::DataVectorSP::getPointer(), and sgpp::base::DataVectorSP::getSize().

◆ componentwise_div()

void sgpp::base::DataMatrixSP::componentwise_div ( const DataMatrixSP & matr )

Divides the current DataMatrixSP component-wise by another DataMatrixSP.

Modifies the current values. Performs

for i from 1 to this.getTotalSize()

this[i] /= matr[i]

Note: No check for division by zero!

Parameters

matr	the DataMatrixSP which the current DataMatrixSP is divided by

References python.statsfileInfo::i.

Referenced by set().

◆ componentwise_mult()

void sgpp::base::DataMatrixSP::componentwise_mult ( const DataMatrixSP & matr )

Multiplies the current DataMatrixSP component-wise with another DataMatrixSP.

Modifies the current values. Performs

for i from 1 to this.getSize()

this[i] *= matr[i]

Parameters

matr	the DataMatrixSP which is multiplied to current DataMatrixSP

References python.statsfileInfo::i.

Referenced by set().

◆ copyFrom()

void sgpp::base::DataMatrixSP::copyFrom ( const DataMatrixSP & matr )

Copies the data from another DataMatrixSP matr.

Disregards the number of rows and columns set for the two matrices, i.e., just copies the data entry by entry (and row by row). If the dimensions match (nrows, ncols), the current DataMatrixSP is an exact copy of matr. If not, as many elements as possible are copied, and everything else is left untouched.

Parameters

matr	The source DataMatrixSP containing the data

◆ expand()

void sgpp::base::DataMatrixSP::expand ( const DataVectorSP & expand )

expands a given DataVectorSP into a DataMatrixSP.

Parameters

expand DataVectorSP that should be expanded

References sgpp::base::DataVectorSP::get(), sgpp::base::DataVectorSP::getSize(), python.statsfileInfo::i, and python.utils.statsfile2gnuplot::j.

Referenced by set().

◆ get()

float sgpp::base::DataMatrixSP::get	(	size_t	row,
		size_t	col
	)		const

inline

Returns the value of the element at position [row,col].

Parameters

row	Row
col	Column

Returns: Value of the element

Referenced by sgpp::base::PrecisionConverter::convertDataMatrixSPToDataMatrix().

◆ getColumn()

void sgpp::base::DataMatrixSP::getColumn	(	size_t	col,
		DataVectorSP &	vec
	)		const

Copies the values of a column to the DataVectorSP vec.

Parameters

col	The column
vec	DataVectorSP into which the data is written

References sgpp::base::DataVectorSP::getSize(), and python.utils.statsfile2gnuplot::j.

Referenced by set().

◆ getInc()

size_t sgpp::base::DataMatrixSP::getInc ( ) const

inline

Get the current number of rows by which the DataMatrixSP is extended, if appendRow() is called and no unused rows are left.

Returns: Row increment

◆ getNcols()

size_t sgpp::base::DataMatrixSP::getNcols ( ) const

inline

Returns the number of columns of the DataMatrixSP.

Returns: Number of columns

Referenced by sgpp::base::PrecisionConverter::convertDataMatrixSPToDataMatrix(), sgpp::base::PrecisionConverter::convertDataMatrixToDataMatrixSP(), and sgpp::datadriven::LearnerBaseSP::predict().

◆ getNrows()

size_t sgpp::base::DataMatrixSP::getNrows ( ) const

inline

Returns the number of rows of the DataMatrixSP.

Returns: Number of rows

Referenced by sgpp::base::PrecisionConverter::convertDataMatrixSPToDataMatrix(), sgpp::base::PrecisionConverter::convertDataMatrixToDataMatrixSP(), sgpp::datadriven::LearnerBaseSP::predict(), and sgpp::datadriven::LearnerBaseSP::train().

◆ getNumberNonZero()

size_t sgpp::base::DataMatrixSP::getNumberNonZero ( ) const

Determines the number of non-zero elements in the vector.

Returns: The number of non-zero elements

References python.statsfileInfo::i.

Referenced by getUnused().

◆ getPointer() [1/2]

float * sgpp::base::DataMatrixSP::getPointer ( )

Returns pointer to float array containing underlying data.

Returns: Pointer to data

Referenced by set().

◆ getPointer() [2/2]

const float * sgpp::base::DataMatrixSP::getPointer ( ) const

Returns const pointer to float array containing underlying data.

Returns: Const pointer to data

◆ getRow() [1/2]

void sgpp::base::DataMatrixSP::getRow	(	size_t	row,
		DataVectorSP &	vec
	)		const

Copies the values of a row to the DataVectorSP vec.

Parameters

row	The row
vec	DataVectorSP into which the data is written

References sgpp::base::DataVectorSP::getSize(), and python.statsfileInfo::i.

Referenced by set().

◆ getRow() [2/2]

void sgpp::base::DataMatrixSP::getRow	(	size_t	row,
		std::vector< float > &	vec
	)		const

Copies the values of a row to the std::vector vec.

Parameters

row	The row
vec	std::vector into which the data is written

References python.statsfileInfo::i.

◆ getSize()

size_t sgpp::base::DataMatrixSP::getSize ( ) const

inline

Returns the total number of (used) elements, i.e., getNrows()*getNCols()

Returns: Number of elements stored in the matrix

Referenced by python.uq.uq_setting.UQSetting.UQSetting::convert(), python.uq.uq_setting.UQSetting.UQSetting::getTimeDependentResults(), python.uq.uq_setting.UQSetting.UQSetting::runSamples(), and python.uq.uq_setting.UQSetting.UQSetting::runSamples_withoutDistribution().

◆ getUnused()

size_t sgpp::base::DataMatrixSP::getUnused ( ) const

inline

Returns the number of unused rows.

Returns: number of unused rows

References getNumberNonZero().

◆ max() [1/2]

float sgpp::base::DataMatrixSP::max ( size_t col ) const

Returns the maximum value of column col.

Parameters

col	Number of the column

Returns: Maximum value

References python.statsfileInfo::i, and max().

◆ max() [2/2]

float sgpp::base::DataMatrixSP::max ( ) const

Returns the maximum over all entries.

Returns: Maximal value of all entries

References python.statsfileInfo::i.

Referenced by max(), and set().

◆ min() [1/2]

float sgpp::base::DataMatrixSP::min ( size_t col ) const

Returns the minimum value of column col.

Parameters

col	Number of the column

Returns: Minimum value

References python.statsfileInfo::i, and min().

◆ min() [2/2]

float sgpp::base::DataMatrixSP::min ( ) const

Returns the minimum over all entries.

Returns: Minimal value of all entries

References python.statsfileInfo::i.

Referenced by min(), and set().

◆ minmax() [1/2]

void sgpp::base::DataMatrixSP::minmax	(	size_t	col,
		float *	min,
		float *	max
	)		const

Determines minimum and maximum of column col.

Parameters

col	Number of the column
min	Reference variable for the minimum
max	Reference variable for the maximum

References python.statsfileInfo::i.

Referenced by normalizeDimension(), and set().

◆ minmax() [2/2]

void sgpp::base::DataMatrixSP::minmax	(	float *	min,
		float *	max
	)		const

Determines minimum and maximum over all entries.

Parameters

min	Reference variable for the minimum
max	Reference variable for the maximum

References python.statsfileInfo::i.

◆ mult() [1/2]

void sgpp::base::DataMatrixSP::mult	(	const DataVectorSP &	x,
		DataVectorSP &	y
	)

Multiplies the matrix with a vector x and stores the result in another vector y.

Parameters

[in]	x	vector to be multiplied
[out]	y	vector in which the result should be stored

References sgpp::base::DataVectorSP::getSize(), python.statsfileInfo::i, and python.utils.statsfile2gnuplot::j.

Referenced by set().

◆ mult() [2/2]

void sgpp::base::DataMatrixSP::mult ( float scalar )

Multiplies all elements by a constant factor.

Parameters

scalar the constant

References python.statsfileInfo::i.

◆ normalizeDimension() [1/2]

void sgpp::base::DataMatrixSP::normalizeDimension ( size_t d )

Normalizes the d-th dimension (entries in the d-th column) to \([0,1]\).

Considers contents of DataMatrixSP as a d-dimensional dataset, one data point per row.

Parameters

d	The dimension (column) that should be normalized (starting with 0)

Referenced by setInc().

◆ normalizeDimension() [2/2]

void sgpp::base::DataMatrixSP::normalizeDimension	(	size_t	d,
		float	border
	)

Normalizes the d-th dimension (entries in the d-th column) to \([border,1-border]\).

Considers contents of DataMatrixSP as a d-dimensional dataset, one data point per row.

Parameters

d	The dimension (column) that should be normalized (starting with 0)
border	Width of the border

References python.statsfileInfo::i, and minmax().

◆ operator()() [1/2]

float& sgpp::base::DataMatrixSP::operator()	(	size_t	row,
		size_t	col
	)

inline

Returns the value of the element at position [row,col].

Parameters

row	Row
col	Column

Returns: reference to the element

◆ operator()() [2/2]

const float& sgpp::base::DataMatrixSP::operator()	(	size_t	row,
		size_t	col
	)		const

inline

Returns the value of the element at position [row,col].

Parameters

row	Row
col	Column

Returns: constant reference to the element

◆ operator=()

DataMatrixSP & sgpp::base::DataMatrixSP::operator= ( const DataMatrixSP & matr )

Copies the data from another DataMatrixSP.

Dimensions have to match.

Parameters

matr	the DataMatrixSP containing the data

Returns: *this

◆ resize() [1/2]

void sgpp::base::DataMatrixSP::resize ( size_t nrows )

Resizes the DataMatrixSP to nrows rows.

All new additional entries are uninitialized. If nrows is smaller than the current number of rows, all superfluous entries are removed.

Parameters

nrows New number of rows of the DataMatrixSP

◆ resize() [2/2]

void sgpp::base::DataMatrixSP::resize	(	size_t	nrows,
		size_t	ncols
	)

Resizes the DataMatrixSP to nrows rows and ncols columns.

All new additional entries are uninitialized. If nrows*ncols is smaller than the current number of entries, all superfluous entries are removed.

Parameters

nrows	New number of rows of the DataMatrixSP
ncols	New number of columns of the DataMatrixSP

◆ resizeZero() [1/2]

void sgpp::base::DataMatrixSP::resizeZero ( size_t nrows )

Resizes the DataMatrixSP to nrows rows.

All new additional entries are set to zero. If nrows is smaller than the current number of rows, all superfluous entries are removed.

Parameters

nrows New number of rows of the DataMatrixSP

References python.statsfileInfo::i.

◆ resizeZero() [2/2]

void sgpp::base::DataMatrixSP::resizeZero	(	size_t	nrows,
		size_t	ncols
	)

Resizes the DataMatrixSP to nrows rows and ncols columns.

All new additional entries are set to zero. If nrows*ncols is smaller than the current number of entries, all superfluous entries are removed.

Parameters

nrows	New number of rows of the DataMatrixSP
ncols	New number of columns of the DataMatrixSP

References python.statsfileInfo::i.

◆ set()

void sgpp::base::DataMatrixSP::set	(	size_t	row,
		size_t	col,
		float	value
	)

inline

Sets the element at position [row,col] to value.

Parameters

row	Row
col	Column
value	New value for element

References abs(), add(), addReduce(), componentwise_div(), componentwise_mult(), expand(), getColumn(), getPointer(), getRow(), max(), min(), minmax(), mult(), setColumn(), setRow(), sqr(), sqrt(), sub(), and sum().

Referenced by sgpp::base::PrecisionConverter::convertDataMatrixToDataMatrixSP(), sgpp::base::HashGridStorage::getLevelIndexArraysForEval(), and sgpp::base::HashGridStorage::getLevelIndexMaskArraysForModEval().

◆ setAll()

void sgpp::base::DataMatrixSP::setAll ( float value )

Sets all entries of DataMatrixSP to value.

Parameters

value New value for all entries

References python.statsfileInfo::i.

Referenced by DataMatrixSP().

◆ setColumn()

void sgpp::base::DataMatrixSP::setColumn	(	size_t	col,
		const DataVectorSP &	vec
	)

Sets a column of the DataMatrixSP to the values of a DataVectorSP vec.

Parameters

col	The column which is to be overwritten
vec	DataVectorSP containing the data of the column

References sgpp::base::DataVectorSP::get(), sgpp::base::DataVectorSP::getSize(), and python.utils.statsfile2gnuplot::j.

Referenced by set().

◆ setInc()

void sgpp::base::DataMatrixSP::setInc ( size_t inc_rows )

inline

Sets the current number of rows by which the DataMatrixSP is extended, if appendRow() is called and no unused rows are left.

Defaults to 100.

Parameters

inc_rows Row increment

References normalizeDimension(), toString(), and ~DataMatrixSP().

◆ setRow()

void sgpp::base::DataMatrixSP::setRow	(	size_t	row,
		const DataVectorSP &	vec
	)

Sets a row of the DataMatrixSP to the values of a DataVectorSP vec.

Parameters

row	The row which is to be overwritten
vec	DataVectorSP containing the data of the row

References sgpp::base::DataVectorSP::get(), sgpp::base::DataVectorSP::getSize(), and python.statsfileInfo::i.

Referenced by set().

◆ sqr()

void sgpp::base::DataMatrixSP::sqr ( )

Squares all elements of the DataMatrixSP.

References python.statsfileInfo::i.

Referenced by set().

◆ sqrt()

void sgpp::base::DataMatrixSP::sqrt ( )

Takes the square root of all elements of the DataMatrixSP.

References python.statsfileInfo::i.

Referenced by set().

◆ sub()

void sgpp::base::DataMatrixSP::sub ( const DataMatrixSP & matr )

Subtracts the values from another DataMatrixSP of the current values.

Modifies the current values.

Parameters

matr	The DataMatrixSP which is subtracted from the current values

References python.statsfileInfo::i.

Referenced by set().

◆ sum()

float sgpp::base::DataMatrixSP::sum ( ) const

Returns the sum of all elements.

Returns: The sum of all elements

References python.statsfileInfo::i.

Referenced by set().

◆ toString() [1/2]

void sgpp::base::DataMatrixSP::toString ( std::string & text ) const

Writes the data stored in the DataMatrixSP into a string.

Parameters

text	String to which the data is written

References python.statsfileInfo::i, and python.utils.statsfile2gnuplot::j.

Referenced by python.controller.LearnerEventController.LearnerEventController::__repr__(), python.controller.SolverEventController.SolverEventController::__repr__(), python.uq.learner.Learner.Learner::createMemento(), python.learner.Learner.Learner::createMemento(), and python.learner.formatter.GridFormatter.GridFormatter::serialize().

◆ toString() [2/2]

std::string sgpp::base::DataMatrixSP::toString ( ) const

Returns a description of the DataMatrixSP as a string.

Returns: string of the DataMatrixSP

Referenced by python.controller.LearnerEventController.LearnerEventController::__repr__(), python.controller.SolverEventController.SolverEventController::__repr__(), python.uq.learner.Learner.Learner::createMemento(), python.learner.Learner.Learner::createMemento(), python.learner.formatter.GridFormatter.GridFormatter::serialize(), and setInc().

◆ transpose()

void sgpp::base::DataMatrixSP::transpose ( )

Transposes this DataMatrixSP.

References python.statsfileInfo::i, and python.utils.statsfile2gnuplot::j.

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

base/src/sgpp/base/datatypes/DataMatrixSP.hpp
base/src/sgpp/base/datatypes/DataMatrixSP.cpp

Public Member Functions

Detailed Description

Constructor & Destructor Documentation

◆ DataMatrixSP() [1/4]

◆ DataMatrixSP() [2/4]

◆ DataMatrixSP() [3/4]

◆ DataMatrixSP() [4/4]

◆ ~DataMatrixSP()

Member Function Documentation

◆ abs()

◆ add()

◆ addReduce() [1/2]

◆ addReduce() [2/2]

◆ addSize()

◆ appendRow() [1/2]

◆ appendRow() [2/2]

◆ componentwise_div()

◆ componentwise_mult()

◆ copyFrom()

◆ expand()

◆ get()

◆ getColumn()

◆ getInc()

◆ getNcols()

◆ getNrows()

◆ getNumberNonZero()

◆ getPointer() [1/2]

◆ getPointer() [2/2]

◆ getRow() [1/2]

◆ getRow() [2/2]

◆ getSize()

◆ getUnused()

◆ max() [1/2]

◆ max() [2/2]

◆ min() [1/2]

◆ min() [2/2]

◆ minmax() [1/2]

◆ minmax() [2/2]

◆ mult() [1/2]

◆ mult() [2/2]

◆ normalizeDimension() [1/2]

◆ normalizeDimension() [2/2]

◆ operator()() [1/2]

◆ operator()() [2/2]

◆ operator=()

◆ resize() [1/2]

◆ resize() [2/2]

◆ resizeZero() [1/2]

◆ resizeZero() [2/2]

◆ set()

◆ setAll()

◆ setColumn()

◆ setInc()

◆ setRow()

◆ sqr()

◆ sqrt()

◆ sub()

◆ sum()

◆ toString() [1/2]

◆ toString() [2/2]

◆ transpose()