C# 클래스 numl.Math.Optimization.Optimizer

Optimizer.

공개 메소드들

메소드	설명
Optimizer ( Vector theta, int maxIterations, double learningRate = 1.0, double momentum = 0.9, OptimizationMethods optimizationMethod = OptimizationMethods.StochasticGradientDescent, OptimizationMethod optimizer = null ) : System	Initializes a new Optimizer using the default values. Theta to optimize. Maximum number of iterations. Learning Rate (alpha) (Optional). Momentum parameter for use in accelerated methods (Optional). Type of optimization method to use (Optional). An external typed optimization method to use (Optional).
Run ( ) : void	Runs the optimization routine for the set number of iterations.
RunAsync ( ) : System.Threading.Tasks.Task	Runs the optimization routine for the set number of iterations.
Step ( ) : void	Performs a single step of the optimization routine.

메소드 상세

Optimizer() 공개 메소드

Initializes a new Optimizer using the default values. Theta to optimize. Maximum number of iterations. Learning Rate (alpha) (Optional). Momentum parameter for use in accelerated methods (Optional). Type of optimization method to use (Optional). An external typed optimization method to use (Optional).

public Optimizer ( Vector theta, int maxIterations, double learningRate = 1.0, double momentum = 0.9, OptimizationMethods optimizationMethod = OptimizationMethods.StochasticGradientDescent, OptimizationMethod optimizer = null ) : System
theta	numl.Math.LinearAlgebra.Vector
maxIterations	int
learningRate	double
momentum	double
optimizationMethod	OptimizationMethods
optimizer	numl.Math.Optimization.Methods.OptimizationMethod
리턴	System

Run() 공개 메소드

Runs the optimization routine for the set number of iterations.

public Run ( ) : void
리턴	void

RunAsync() 공개 메소드

Runs the optimization routine for the set number of iterations.

public RunAsync ( ) : System.Threading.Tasks.Task
리턴	System.Threading.Tasks.Task

Step() 공개 메소드

Performs a single step of the optimization routine.

public Step ( ) : void
리턴	void