Class ArrayUtils

Namespace

NeuralNetworks.Core

Assembly

NeuralNetworks.dll

public class ArrayUtils

Inheritance

object

ArrayUtils

Inherited Members

object.Equals(object)

object.Equals(object, object)

object.GetHashCode()

object.GetType()

object.MemberwiseClone()

object.ReferenceEquals(object, object)

object.ToString()

Methods

BoxMuller(Random)

Generates a random number following a standard normal distribution (mean = 0, stdDev = 1) using the Box-Muller transform.

public static float BoxMuller(Random random)

Parameters

random Random

Returns

float

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

public static float[,,,] CreateRandom(int dim1, int dim2, int dim3, int dim4, Random _random)

Parameters

dim1 int

dim2 int

dim3 int

dim4 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 dim1, int dim2, int dim3, int dim4, Random random, float mean = 0, float stdDev = 1)

Parameters

dim1 int

dim2 int

dim3 int

dim4 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 dim1, int dim2, int dim3, int dim4, float from, float to)

Parameters

dim1 int

dim2 int

dim3 int

dim4 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[,]

EnsureSameShape(float[,,,]?, float[,,,]?)

[Conditional("DEBUG")]
public static void EnsureSameShape(float[,,,]? matrix1, float[,,,]? matrix2)

Parameters

matrix1 float[,,,]

matrix2 float[,,,]

EnsureSameShape(float[,]?, float[,]?)

[Conditional("DEBUG")]
public static void EnsureSameShape(float[,]? matrix1, float[,]? matrix2)

Parameters

matrix1 float[,]

matrix2 float[,]

EnsureSameShape(float[]?, float[]?)

[Conditional("DEBUG")]
public static void EnsureSameShape(float[]? matrix1, float[]? matrix2)

Parameters

matrix1 float[]

matrix2 float[]

LoadCsv(string, int)

public static float[,] LoadCsv(string filePath, int skipHeaderLines = 0)

Parameters

filePath string

skipHeaderLines int

Returns

float[,]

PermuteData(float[,,,], float[,], Random)

Permutes the data in the input arrays x and y using the provided random number generator.

public static (float[,,,] xPermuted, float[,] yPermuted) PermuteData(float[,,,] x, float[,] y, Random random)

Parameters

x float[,,,]

y float[,]

random Random

Returns

(float[,,,] xPermuted, float[,] yPermuted)

Remarks

This method is the quickest way to permute data for 4D input arrays.

PermuteData(float[,], float[,], Random)

public static (float[,] xPermuted, float[,] yPermuted) PermuteData(float[,] x, float[,] y, Random random)

Parameters

x float[,]

y float[,]

random Random

Returns

(float[,] Set1, float[,] Set2)

StandardizeColumns(float, params List<float[,]>)

public static void StandardizeColumns(float minStdDev, params List<float[,]> sets)

Parameters

minStdDev float

sets List<float[,]>