CategoryCrossEntropyLoss Class

Categorical cross-entropy loss for multi-class problems, also known as the logistic loss for softmax (categorical) outputs.

Inheritance Hierarchy

SystemObject
  Accord.Math.Optimization.LossesLossBaseBoolean, Boolean, Double
    Accord.Math.Optimization.LossesLossBaseBoolean
      Accord.Math.Optimization.LossesCategoryCrossEntropyLoss

Namespace: Accord.Math.Optimization.Losses
Assembly: Accord.Math (in Accord.Math.dll) Version: 3.8.0

Syntax

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[SerializableAttribute]
public class CategoryCrossEntropyLoss : LossBase<bool[][]>, 
	ILoss<int[]>, ILoss<int[], double>, ILoss<double[][]>, 
	ILoss<double[][], double>

<SerializableAttribute>
Public Class CategoryCrossEntropyLoss
	Inherits LossBase(Of Boolean()())
	Implements ILoss(Of Integer()), ILoss(Of Integer(), Double), 
	ILoss(Of Double()()), ILoss(Of Double()(), Double)

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The CategoryCrossEntropyLoss type exposes the following members.

Constructors

	Name	Description
	CategoryCrossEntropyLoss(Boolean)	Initializes a new instance of the CategoryCrossEntropyLoss class.
	CategoryCrossEntropyLoss(Double)	Initializes a new instance of the CategoryCrossEntropyLoss class.
	CategoryCrossEntropyLoss(Int32)	Initializes a new instance of the CategoryCrossEntropyLoss class.

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Properties

	Name	Description
	Expected	Gets the expected outputs (the ground truth). (Inherited from LossBaseTInput, TScore, TLoss.)

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Methods

	Name	Description
	Equals	Determines whether the specified object is equal to the current object. (Inherited from Object.)
	Finalize	Allows an object to try to free resources and perform other cleanup operations before it is reclaimed by garbage collection. (Inherited from Object.)
	GetHashCode	Serves as the default hash function. (Inherited from Object.)
	GetType	Gets the Type of the current instance. (Inherited from Object.)
	Loss(Boolean)	Computes the loss between the expected values (ground truth) and the given actual values that have been predicted. (Overrides LossBaseTInput, TScore, TLossLoss(TScore).)
	Loss(Double)	Computes the loss between the expected values (ground truth) and the given actual values that have been predicted.
	Loss(Int32)	Computes the loss between the expected values (ground truth) and the given actual values that have been predicted.
	MemberwiseClone	Creates a shallow copy of the current Object. (Inherited from Object.)
	ToString	Returns a string that represents the current object. (Inherited from Object.)

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Extension Methods

	Name	Description
	HasMethod	Checks whether an object implements a method with the given name. (Defined by ExtensionMethods.)
	IsEqual	Compares two objects for equality, performing an elementwise comparison if the elements are vectors or matrices. (Defined by Matrix.)
	To(Type)	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)
	ToT	Overloaded. Converts an object into another type, irrespective of whether the conversion can be done at compile time or not. This can be used to convert generic types to numeric types during runtime. (Defined by ExtensionMethods.)

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Reference

Accord.Math.Optimization.Losses Namespace

Accord.Math.Optimization.LossesBinaryCrossEntropyLoss