api / koma.matrix.mtj / MTJMatrixFactory
MTJMatrixFactory
class MTJMatrixFactory :
DoubleFactoryBase
<
MTJMatrix
>
Constructors
Name | Summary |
---|---|
<init> | MTJMatrixFactory() |
Functions
Name | Summary |
---|---|
create | fun create(data: IntRange ): MTJMatrix Creates a row-vector with initial values pulled from an int range, e.g. 1..45 fun create(data: DoubleArray ): MTJMatrix Creates a row-vector with initial values pulled from a double array fun create(data: Array < DoubleArray >): MTJMatrix Creates a matrix from an array of arrays (row-major) |
eye | fun eye(size: Int ): MTJMatrix Creates an identity matrix of the requested shape fun eye(rows: Int , cols: Int ): MTJMatrix Creates an identity matrix of the requested shape, with zero padding if the axis lengths arent equal. |
ones | fun ones(rows: Int , cols: Int ): MTJMatrix Creates a one initialized matrix of the requested shape |
zeros | fun zeros(rows: Int , cols: Int ): MTJMatrix Generate a zero initialized matrix of the requested shape. |
Inherited Functions
Name | Summary |
---|---|
arange | open fun arange(start: Double , stop: Double , increment: Double ): T open fun arange(start: Int , stop: Int , increment: Int ): T Creates a row-vector with the first value of start and the last value of stop, with increment steps between each value. open fun arange(start: Double , stop: Double ): T open fun arange(start: Int , stop: Int ): T Creates a row-vector with the first value of start and the last value of stop, with unit steps between each value. |
rand | open fun rand(rows: Int , cols: Int ): T Creates a matrix of uniform 0-1 random samples |
randn | open fun randn(rows: Int , cols: Int ): T Creates a matrix of unit-normal random samples |