Class ArrayFactoryRoutines

Namespace

NeuralNetworks.Core

Assembly

NeuralNetworks.dll

Provides factory and initialization routines for creating float arrays with range-based values, uniformly distributed random values, and normally distributed random values.

public static class ArrayFactoryRoutines

Inheritance

object

ArrayFactoryRoutines

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Remarks

Includes overloads for multiple array ranks and an in-place extension routine for filling two-dimensional arrays with reproducible random values from a seed.

Methods

CreateRandom(int, int, int, int, Random)

public static float[,,,] CreateRandom(int dim0, int dim1, int dim2, int dim3, Random random)

Parameters

dim0 int

dim1 int

dim2 int

dim3 int

random Random

Returns

float[,,,]

CreateRandom(int, int, Random)

Creates a new matrix filled with random values between -0.5 and 0.5, with the specified number of rows and columns.

public static float[,] CreateRandom(int rows, int columns, Random random)

Parameters

rows int

The number of rows in the matrix.

columns int

The number of columns in the matrix.

random Random

The random number generator.

Returns

float[,]

A new matrix filled with random values.

CreateRandom(int, Random)

public static float[] CreateRandom(int columns, Random random)

Parameters

columns int

random Random

Returns

float[]

CreateRandomNormal(int, int, int, int, Random, float, float)

public static float[,,,] CreateRandomNormal(int dim0, int dim1, int dim2, int dim3, Random random, float mean = 0, float stdDev = 1)

Parameters

dim0 int

dim1 int

dim2 int

dim3 int

random Random

mean float

stdDev float

Returns

float[,,,]

CreateRandomNormal(int, int, int, Random, float, float)

public static float[,,] CreateRandomNormal(int dim0, int dim1, int dim2, Random random, float mean = 0, float stdDev = 1)

Parameters

dim0 int

dim1 int

dim2 int

random Random

mean float

stdDev float

Returns

float[,,]

CreateRandomNormal(int, int, Random, float, float)

public static float[,] CreateRandomNormal(int rows, int columns, Random random, float mean = 0, float stdDev = 1)

Parameters

rows int

columns int

random Random

mean float

stdDev float

Returns

float[,]

CreateRandomNormal(int, Random, float, float)

public static float[] CreateRandomNormal(int columns, Random random, float mean = 0, float stdDev = 1)

Parameters

columns int

random Random

mean float

stdDev float

Returns

float[]

CreateRange(int, int, int, int, float, float)

public static float[,,,] CreateRange(int dim0, int dim1, int dim2, int dim3, float from, float to)

Parameters

dim0 int

dim1 int

dim2 int

dim3 int

from float

to float

Returns

float[,,,]

CreateRange(int, int, float, float)

public static float[,] CreateRange(int rows, int columns, float from, float to)

Parameters

rows int

columns int

from float

to float

Returns

float[,]

RandomInPlace(float[,], int)

Fills the source with random float values between -0.5 and 0.5 using the specified seed.

public static void RandomInPlace(this float[,] source, int seed)

Parameters

source float[,]

The two-dimensional array to fill with random values.

seed int

The seed used to initialize the random number generator.