C# 클래스 MyMediaLite.DataType.MatrixUtils

Utilities to work with matrices

공개 메소드들

메소드	설명
ColumnAverage ( Matrix matrix, int col ) : double	Compute the average value of the entries in a column of a matrix
ColumnInitNormal ( Matrix matrix, double mean, double stdev, int column ) : void	Initializes one column of a double matrix with normal distributed (Gaussian) noise
FrobeniusNorm ( Matrix matrix ) : double	Compute the Frobenius norm (square root of the sum of squared entries) of a matrix See http://en.wikipedia.org/wiki/Matrix_norm
Inc ( Matrix matrix1, Matrix matrix2 ) : void	Increment the elements in one matrix by the ones in another
Inc ( Matrix matrix, int i, int j, double v ) : void	Increments the specified matrix element by a double value
InitNormal ( Matrix matrix, double mean, double stdev ) : void	Initializes a double matrix with normal distributed (Gaussian) noise
Multiply ( Matrix matrix, double d ) : void	Multiply all entries of a matrix with a scalar
RowAverage ( Matrix matrix, int row ) : double	Compute the average value of the entries in a row of a matrix
RowDifference ( Matrix matrix1, int i, Matrix matrix2, int j ) : IList	Compute the difference vector between two rows of two matrices
RowInitNormal ( Matrix matrix, double mean, double stdev, int row ) : void	Initializes one row of a double matrix with normal distributed (Gaussian) noise
RowScalarProduct ( Matrix matrix, int i, IList vector ) : double	Compute the scalar product between a vector and a row of the matrix
RowScalarProduct ( Matrix matrix1, int i, Matrix matrix2, int j ) : double	Compute the scalar product between two rows of two matrices
RowScalarProductWithRowDifference ( Matrix matrix1, int i, Matrix matrix2, int j, Matrix matrix3, int k ) : double	Compute the scalar product of a matrix row with the difference vector of two other matrix rows

메소드 상세

ColumnAverage() 공개 정적인 메소드

Compute the average value of the entries in a column of a matrix

public static ColumnAverage ( Matrix matrix, int col ) : double
matrix	Matrix	the matrix
col	int	the column ID
리턴	double

ColumnInitNormal() 공개 정적인 메소드

Initializes one column of a double matrix with normal distributed (Gaussian) noise

public static ColumnInitNormal ( Matrix matrix, double mean, double stdev, int column ) : void
matrix	Matrix	the matrix to initialize
mean	double	the mean of the normal distribution drawn from
stdev	double	the standard deviation of the normal distribution
column	int	the column to be initialized
리턴	void

FrobeniusNorm() 공개 정적인 메소드

Compute the Frobenius norm (square root of the sum of squared entries) of a matrix

See http://en.wikipedia.org/wiki/Matrix_norm

public static FrobeniusNorm ( Matrix matrix ) : double
matrix	Matrix	the matrix
리턴	double

Inc() 공개 정적인 메소드

Increment the elements in one matrix by the ones in another

public static Inc ( Matrix matrix1, Matrix matrix2 ) : void
matrix1	Matrix	the matrix to be incremented
matrix2	Matrix	the other matrix
리턴	void

Inc() 공개 정적인 메소드

Increments the specified matrix element by a double value

public static Inc ( Matrix matrix, int i, int j, double v ) : void
matrix	Matrix	The matrix.
i	int	the row
j	int	the column
v	double	the value
리턴	void

InitNormal() 공개 정적인 메소드

Initializes a double matrix with normal distributed (Gaussian) noise

public static InitNormal ( Matrix matrix, double mean, double stdev ) : void
matrix	Matrix	the matrix to initialize
mean	double	the mean of the normal distribution drawn from
stdev	double	the standard deviation of the normal distribution
리턴	void

Multiply() 공개 정적인 메소드

Multiply all entries of a matrix with a scalar

public static Multiply ( Matrix matrix, double d ) : void
matrix	Matrix	the matrix
d	double	the number to multiply with
리턴	void

RowAverage() 공개 정적인 메소드

Compute the average value of the entries in a row of a matrix

public static RowAverage ( Matrix matrix, int row ) : double
matrix	Matrix	the matrix
row	int	the row ID
리턴	double

RowDifference() 공개 정적인 메소드

Compute the difference vector between two rows of two matrices

public static RowDifference ( Matrix matrix1, int i, Matrix matrix2, int j ) : IList
matrix1	Matrix	the first matrix
i	int	the first row ID
matrix2	Matrix	the second matrix
j	int	the second row ID
리턴	IList

RowInitNormal() 공개 정적인 메소드

Initializes one row of a double matrix with normal distributed (Gaussian) noise

public static RowInitNormal ( Matrix matrix, double mean, double stdev, int row ) : void
matrix	Matrix	the matrix to initialize
mean	double	the mean of the normal distribution drawn from
stdev	double	the standard deviation of the normal distribution
row	int	the row to be initialized
리턴	void

RowScalarProduct() 공개 정적인 메소드

Compute the scalar product between a vector and a row of the matrix

public static RowScalarProduct ( Matrix matrix, int i, IList vector ) : double
matrix	Matrix	the matrix
i	int	the row ID
vector	IList	the numeric vector
리턴	double

RowScalarProduct() 공개 정적인 메소드

Compute the scalar product between two rows of two matrices

public static RowScalarProduct ( Matrix matrix1, int i, Matrix matrix2, int j ) : double
matrix1	Matrix	the first matrix
i	int	the first row ID
matrix2	Matrix	the second matrix
j	int	the second row ID
리턴	double

RowScalarProductWithRowDifference() 공개 정적인 메소드

Compute the scalar product of a matrix row with the difference vector of two other matrix rows

public static RowScalarProductWithRowDifference ( Matrix matrix1, int i, Matrix matrix2, int j, Matrix matrix3, int k ) : double
matrix1	Matrix	the first matrix
i	int	the first row ID
matrix2	Matrix	the second matrix
j	int	the second row ID
matrix3	Matrix	the third matrix
k	int	the third row ID
리턴	double