Class with commoin routines for asymmetric correlations that are learned from binary data More...

Inheritance diagram for BinaryDataAsymmetricCorrelationMatrix:

Public Member Functions
void	AddEntity (int entity_id)
	Add an entity to the ICorrelationMatrix by growing it to the requested size. More...

	BinaryDataAsymmetricCorrelationMatrix (int num_entities)
	Creates an object of type ConditionalProbability More...

float	ComputeCorrelation (ICollection< int > vector_i, ICollection< int > vector_j)
	Computes the correlation of two binary vectors More...

void	ComputeCorrelations (IBooleanMatrix entity_data)
	Compute the correlations from an implicit feedback, positive-only dataset More...

IMatrix< T >	CreateMatrix (int num_rows, int num_columns)
	Create a matrix with a given number of rows and columns More...

IMatrix< T >	CreateMatrix (int num_rows, int num_columns)
	Create a matrix with a given number of rows and columns More...

virtual IMatrix< T >	CreateMatrix (int num_rows, int num_columns)
	Create a matrix with a given number of rows and columns More...

void	Resize (int num_rows, int num_cols)
	Grows or shrinks the matrix to the requested size, if necessary More...

void	Resize (int num_rows, int num_cols)
	Grows or shrinks the matrix to the requested size, if necessary More...

void	Resize (int num_rows)
	Resize to the given size More...

void	Resize (int num_rows, int num_cols)
	Grows or shrinks the matrix to the requested size, if necessary More...

IMatrix< T >	Transpose ()
	Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged More...

IMatrix< T >	Transpose ()
	Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged More...

virtual IMatrix< T >	Transpose ()
	Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged More...

void	Write (StreamWriter writer)
	Write out the correlations to a StreamWriter More...

Protected Member Functions
abstract float	ComputeCorrelationFromOverlap (float overlap, float count_x, float count_y)

Protected Attributes
int	num_entities
	Number of entities, e.g. users or items More...

Properties
override bool	IsSymmetric `[get]`
	returns false

virtual IList< Tuple< int, int > >	NonEmptyEntryIDs `[get]`
	The row and column IDs of non-empty entries in the matrix More...

int	NumberOfColumns `[get]`
	The number of columns of the matrix More...

int	NumberOfColumns `[get]`
	The number of columns of the matrix More...

int	NumberOfColumns `[get]`

virtual int	NumberOfNonEmptyEntries `[get]`
	The number of non-empty entries in the matrix More...

int	NumberOfRows `[get]`
	The number of rows of the matrix More...

int	NumberOfRows `[get]`
	The number of rows of the matrix More...

int	NumberOfRows `[get]`

int	NumEntities `[get]`

T	this[int x, int y] `[get, set]`
	The value at (i,j) More...

T	this[int x, int y] `[get, set]`
	The value at (i,j) More...

virtual T	this[int x, int y] `[get, set]`
	Access the elements of the sparse matrix More...

Dictionary< int, T >	this[int x] `[get]`
	Get a row of the matrix More...

bool	Weighted `[get, set]`

Detailed Description

Class with commoin routines for asymmetric correlations that are learned from binary data

Constructor & Destructor Documentation

BinaryDataAsymmetricCorrelationMatrix ( int num_entities )

inline

Creates an object of type ConditionalProbability

Parameters

num_entities the number of entities

Member Function Documentation

void AddEntity ( int entity_id )

inlineinherited

Add an entity to the ICorrelationMatrix by growing it to the requested size.

Note that you still have to correctly compute and set the entity's correlation values

Parameters

entity_id the numerical ID of the entity

Implements ICorrelationMatrix.

float ComputeCorrelation	(	ICollection< int >	vector_i,
		ICollection< int >	vector_j
	)

inline

Computes the correlation of two binary vectors

Parameters

vector_i	the first vector
vector_j	the second vector

Returns: the correlation of the two vectors

Implements IBinaryDataCorrelationMatrix.

void ComputeCorrelations ( IBooleanMatrix entity_data )

inline

Compute the correlations from an implicit feedback, positive-only dataset

Parameters

entity_data the implicit feedback set, rows contain the entities to correlate

Implements IBinaryDataCorrelationMatrix.

IMatrix<T> CreateMatrix	(	int	num_rows,
		int	num_columns
	)

inherited

Create a matrix with a given number of rows and columns

Parameters

num_rows	the number of rows
num_columns	the number of columns

Returns: A matrix with num_rows rows and num_column columns

IMatrix<T> CreateMatrix	(	int	num_rows,
		int	num_columns
	)

inherited

Create a matrix with a given number of rows and columns

Parameters

num_rows	the number of rows
num_columns	the number of columns

Returns: A matrix with num_rows rows and num_column columns

virtual IMatrix<T> CreateMatrix	(	int	num_rows,
		int	num_columns
	)

inlinevirtualinherited

Create a matrix with a given number of rows and columns

Parameters

num_rows	the number of rows
num_columns	the number of columns

Returns: A matrix with num_rows rows and num_column columns

void Resize	(	int	num_rows,
		int	num_cols
	)

inherited

Grows or shrinks the matrix to the requested size, if necessary

The new entries are filled with zeros. Obsolete entries are removed.

Parameters

num_rows	the number of rows
num_cols	the number of columns

void Resize	(	int	num_rows,
		int	num_cols
	)

inherited

Grows or shrinks the matrix to the requested size, if necessary

The new entries are filled with zeros. Obsolete entries are removed.

Parameters

num_rows	the number of rows
num_cols	the number of columns

void Resize ( int size )

inlineinherited

Resize to the given size

Parameters

size the size

Implements ICorrelationMatrix.

void Resize	(	int	num_rows,
		int	num_cols
	)

inlineinherited

Grows or shrinks the matrix to the requested size, if necessary

The new entries are filled with zeros. Obsolete entries are removed.

Parameters

num_rows	the number of rows
num_cols	the number of columns

IMatrix<T> Transpose ( )

inherited

Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged

Returns: the transpose of the matrix (copy)

IMatrix<T> Transpose ( )

inherited

Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged

Returns: the transpose of the matrix (copy)

virtual IMatrix<T> Transpose ( )

inlinevirtualinherited

Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged

Returns: the transpose of the matrix (copy)

void Write ( StreamWriter writer )

inlineinherited

Write out the correlations to a StreamWriter

Parameters

writer A StreamWriter

Implements ICorrelationMatrix.

Member Data Documentation

int num_entities

protectedinherited

Number of entities, e.g. users or items

Property Documentation

virtual IList<Tuple<int, int> > NonEmptyEntryIDs

getinherited

The row and column IDs of non-empty entries in the matrix

int NumberOfColumns

getinherited

The number of columns of the matrix

int NumberOfColumns

getinherited

The number of columns of the matrix

virtual int NumberOfNonEmptyEntries

getinherited

The number of non-empty entries in the matrix

int NumberOfRows

getinherited

The number of rows of the matrix

int NumberOfRows

getinherited

The number of rows of the matrix

T this[int x, int y]

getsetinherited

The value at (i,j)

Parameters

x	the row ID
y	the column ID

T this[int x, int y]

getsetinherited

The value at (i,j)

Parameters

x	the row ID
y	the column ID

virtual T this[int x, int y]

getsetinherited

Access the elements of the sparse matrix

Parameters

x	the row ID
y	the column ID

Dictionary<int, T> this[int x]

getinherited

Get a row of the matrix

Parameters

x	the row ID

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

BinaryDataAsymmetricCorrelationMatrix.cs

Public Member Functions

Protected Member Functions

Protected Attributes

Properties

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation

Member Data Documentation

Property Documentation