C# 클래스 numl.Math.Functions.Cost.LogisticCostFunction

상속: ICostFunction
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공개 메소드들

메소드 설명
ComputeCost ( Vector theta ) : double

Compute the error cost of the given Theta parameter for the training and label sets
ComputeGradient ( Vector theta ) : Vector

Compute the error gradient of the given Theta parameter for the training and label sets
LogisticCostFunction ( ) : System.Linq

Initializes a new LogisticCostFunction with the default sigmoid logistic function.

메소드 상세

ComputeCost() 공개 메소드

Compute the error cost of the given Theta parameter for the training and label sets
public ComputeCost ( Vector theta ) : double
theta numl.Math.LinearAlgebra.Vector Learning Theta parameters
리턴 double

ComputeGradient() 공개 메소드

Compute the error gradient of the given Theta parameter for the training and label sets
public ComputeGradient ( Vector theta ) : Vector
theta numl.Math.LinearAlgebra.Vector Learning Theta parameters
리턴 numl.Math.LinearAlgebra.Vector

LogisticCostFunction() 공개 메소드

Initializes a new LogisticCostFunction with the default sigmoid logistic function.
public LogisticCostFunction ( ) : System.Linq
리턴 System.Linq