IBinaryDataCorrelationMatrix Interface Reference

CorrelationMatrix that computes correlations over binary data. More...

Inheritance diagram for IBinaryDataCorrelationMatrix:

List of all members.

Public Member Functions
void	AddEntity (int entity_id)
	Add an entity to the ICorrelationMatrix by growing it to the requested size.
float	ComputeCorrelation (ICollection< int > vector_i, ICollection< int > vector_j)
	Computes the correlation of two binary vectors.
void	ComputeCorrelations (IBooleanMatrix entity_data)
	Compute the correlations from an implicit feedback, positive-only dataset.
IMatrix< T >	CreateMatrix (int num_rows, int num_columns)
	Create a matrix with a given number of rows and columns.
void	Resize (int size)
	Resize to the given size.
void	Resize (int num_rows, int num_cols)
	Grows or shrinks the matrix to the requested size, if necessary.
IMatrix< T >	Transpose ()
	Get the transpose of the matrix, i.e. a matrix where rows and columns are interchanged.
void	Write (StreamWriter writer)
	Write out the correlations to a StreamWriter.
Properties
bool	IsSymmetric [get]
	True if the matrix is stored in a symmetric manner, false otherwise.
int	NumberOfColumns [get]
	The number of columns of the matrix.
int	NumberOfRows [get]
	The number of rows of the matrix.
int	NumEntities [get]
	size of the matrix (number of entities)
T	this[int x, int y] [get, set]
	The value at (i,j)
bool	Weighted [get, set]
	If set to true, give a lower weight to evidence coming from very frequent entities.

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Detailed Description

CorrelationMatrix that computes correlations over binary data.

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Member Function Documentation

void AddEntity

(

int

entity_id

)

[inherited]

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

Implemented in SymmetricCorrelationMatrix, and AsymmetricCorrelationMatrix.

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

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

Implemented in BinaryDataAsymmetricCorrelationMatrix, and BinaryDataSymmetricCorrelationMatrix.

void ComputeCorrelations

(

IBooleanMatrix

entity_data

)

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

Parameters:

entity_data

the implicit feedback set, rows contain the entities to correlate

Implemented in BinaryDataSymmetricCorrelationMatrix, and BinaryDataAsymmetricCorrelationMatrix.

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

Implemented in SparseMatrix< T >, Matrix< T >, SparseBooleanMatrix, SkewSymmetricSparseMatrix, SymmetricMatrix< T >, and SymmetricSparseMatrix< T >.

void Resize

(

int

size

)

[inherited]

Resize to the given size.

Parameters:

size

the size

Implemented in AsymmetricCorrelationMatrix, and SymmetricCorrelationMatrix.

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

Implemented in Matrix< T >, SparseBooleanMatrix, SparseMatrix< T >, and SymmetricMatrix< T >.

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)

Implemented in SparseBooleanMatrix, SparseMatrix< T >, Matrix< T >, and SymmetricMatrix< T >.

void Write

(

StreamWriter

writer

)

[inherited]

Write out the correlations to a StreamWriter.

Parameters:

writer

A StreamWriter

Implemented in AsymmetricCorrelationMatrix, and SymmetricCorrelationMatrix.

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Property Documentation

bool IsSymmetric [get, inherited]

True if the matrix is stored in a symmetric manner, false otherwise.

Also true for skew symmetric matrices that exploit this property in order to save memory

Implemented in SparseBooleanMatrix, SkewSymmetricSparseMatrix, SparseMatrix< T >, Matrix< T >, SymmetricSparseMatrix< T >, AsymmetricCorrelationMatrix, SymmetricCorrelationMatrix, and SymmetricMatrix< T >.

int NumberOfColumns [get, inherited]

The number of columns of the matrix.

The number of columns of the matrix

Implemented in SparseBooleanMatrix, SparseMatrix< T >, Matrix< T >, and SymmetricMatrix< T >.

int NumberOfRows [get, inherited]

The number of rows of the matrix.

The number of rows of the matrix

Implemented in SparseBooleanMatrix, SparseMatrix< T >, Matrix< T >, and SymmetricMatrix< T >.

int NumEntities [get, inherited]

size of the matrix (number of entities)

Implemented in SymmetricCorrelationMatrix, and AsymmetricCorrelationMatrix.

T this[int x, int y] [get, set, inherited]

The value at (i,j)

The value at (i,j)

Parameters:

x	the row ID
y	the column ID

Implemented in SparseMatrix< T >, SparseBooleanMatrix, SkewSymmetricSparseMatrix, and SymmetricSparseMatrix< T >.

bool Weighted [get, set]

If set to true, give a lower weight to evidence coming from very frequent entities.

Implemented in BinaryDataAsymmetricCorrelationMatrix, and BinaryDataSymmetricCorrelationMatrix.

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

• IBinaryDataCorrelationMatrix.cs