Class VectorFunctions

Inheritance

Object

VectorFunctions

Inherited Members

Object.Equals(Object)

Object.Equals(Object, Object)

Object.GetHashCode()

Object.GetType()

Object.MemberwiseClone()

Object.ReferenceEquals(Object, Object)

Object.ToString()

Namespace: NeuralNetLearning.Maths

Assembly: NeuralNet.dll

Syntax

public static class VectorFunctions

Methods

BasisVector(Int32, Int32)

Declaration

public static Vector<double> BasisVector(int length, int oneIdx)

Parameters

Type	Name	Description
Int32	length
Int32	oneIdx

Returns

Type	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>

BasisVectors(Int32)

Declaration

public static Vector<double>[] BasisVectors(int length)

Parameters

Type	Name	Description
Int32	length

Returns

Type	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>[]

IsFinite(Vector<Double>)

Declaration

public static bool IsFinite(Vector<double> vector)

Parameters

Type	Name	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>	vector

Returns

Type	Description
Boolean

Read(String)

Declaration

public static Vector<double> Read(string filepath)

Parameters

Type	Name	Description
String	filepath

Returns

Type	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>

StdNormal(Int32)

Declaration

public static Vector<double> StdNormal(int dim)

Parameters

Type	Name	Description
Int32	dim

Returns

Type	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>

StdUniform(Int32)

Declaration

public static Vector<double> StdUniform(int dim)

Parameters

Type	Name	Description
Int32	dim

Returns

Type	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>

Write(Vector<Double>, String)

Declaration

public static void Write(this Vector<double> vector, string filepath)

Parameters

Type	Name	Description
MathNet.Numerics.LinearAlgebra.Vector<Double>	vector
String	filepath