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Public Member Functions | Properties
IBinaryDataCorrelationMatrix Interface Reference

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

Inheritance diagram for IBinaryDataCorrelationMatrix:
ICorrelationMatrix IMatrix< T > BinaryDataAsymmetricCorrelationMatrix BinaryDataSymmetricCorrelationMatrix BidirectionalConditionalProbability ConditionalProbability BinaryCosine Cooccurrence Jaccard

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 symmetric, 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)
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.

Detailed Description

CorrelationMatrix that computes correlations over binary data.


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_idthe 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_ithe first vector
vector_jthe 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_datathe 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_rowsthe number of rows
num_columnsthe 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:
sizethe 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_rowsthe number of rows
num_colsthe 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:
writerA StreamWriter

Implemented in AsymmetricCorrelationMatrix, and SymmetricCorrelationMatrix.


Property Documentation

bool IsSymmetric [get, inherited]

True if the matrix is symmetric, false otherwise.

True if the matrix is symmetric, false otherwise

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:
xthe row ID
ythe 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.


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