C# 클래스 Accord.Statistics.Models.Fields.Learning.HiddenResilientGradientLearning

Resilient Gradient Learning.

상속: ISupervisedLearning, IHiddenConditionalRandomFieldLearning, IConvergenceLearning, IDisposable

Private Properties

프로퍼티	타입	설명
Run	double
init	void

메소드	설명
Dispose ( ) : void	Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
HiddenResilientGradientLearning ( ) : System	Initializes a new instance of the HiddenResilientGradientLearning{T} class.
HiddenResilientGradientLearning ( HiddenConditionalRandomField model ) : System	Initializes a new instance of the HiddenResilientGradientLearning{T} class.
Reset ( double rate ) : void	Resets the current update steps using the given learning rate.
Run ( Array observations, int output ) : double	Runs one iteration of the learning algorithm with the specified input training observation and corresponding output label.
RunEpoch ( Array observations, Array outputs ) : double	Runs the learning algorithm with the specified input training observations and corresponding output labels.

메소드	설명
Dispose ( bool disposing ) : void	Releases unmanaged and - optionally - managed resources
InnerRun ( Array observations, Array outputs ) : double	Runs the learning algorithm.
OnProgressChanged ( ProgressChangedEventArgs args ) : void	Raises the E:ProgressChanged event.

메소드	설명
Run ( Array observations, Array outputs ) : double
init ( ) : void

Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.

public Dispose ( ) : void
리턴	void

Releases unmanaged and - optionally - managed resources

protected Dispose ( bool disposing ) : void
disposing	bool	true to release both managed /// and unmanaged resources; false to release only unmanaged /// resources.
리턴	void

Initializes a new instance of the HiddenResilientGradientLearning{T} class.

public HiddenResilientGradientLearning ( ) : System
리턴	System

Initializes a new instance of the HiddenResilientGradientLearning{T} class.

public HiddenResilientGradientLearning ( HiddenConditionalRandomField model ) : System
model	HiddenConditionalRandomField	Model to teach.
리턴	System

Runs the learning algorithm.

protected InnerRun ( Array observations, Array outputs ) : double
observations	Array
outputs	Array
리턴	double

Raises the E:ProgressChanged event.

protected OnProgressChanged ( ProgressChangedEventArgs args ) : void
args	ProgressChangedEventArgs	The ProgressChangedEventArgs instance containing the event data.
리턴	void

Resets the current update steps using the given learning rate.

public Reset ( double rate ) : void
rate	double
리턴	void

Runs one iteration of the learning algorithm with the specified input training observation and corresponding output label.

public Run ( Array observations, int output ) : double
observations	Array	The training observations.
output	int	The observation's labels.
리턴	double

Runs the learning algorithm with the specified input training observations and corresponding output labels.

public RunEpoch ( Array observations, Array outputs ) : double
observations	Array	The training observations.
outputs	Array	The observation's labels.
리턴	double