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

Resilient Gradient Learning.
Inheritance: ISupervisedLearning, IHiddenConditionalRandomFieldLearning, IConvergenceLearning, IDisposable
Afficher le fichier Open project: Webreaper/Damselfly

Private Properties

Свойство Type Description
Run double
init void

Méthodes publiques

Méthode Description
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.

Méthodes protégées

Méthode Description
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.

Private Methods

Méthode Description
Run ( Array observations, Array outputs ) : double
init ( ) : void

Method Details

Dispose() public méthode

Performs application-defined tasks associated with freeing, releasing, or resetting unmanaged resources.
public Dispose ( ) : void
Résultat void

Dispose() protected méthode

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.
Résultat void

HiddenResilientGradientLearning() public méthode

Initializes a new instance of the HiddenResilientGradientLearning{T} class.
public HiddenResilientGradientLearning ( ) : System
Résultat System

HiddenResilientGradientLearning() public méthode

Initializes a new instance of the HiddenResilientGradientLearning{T} class.
public HiddenResilientGradientLearning ( HiddenConditionalRandomField model ) : System
model HiddenConditionalRandomField Model to teach.
Résultat System

InnerRun() protected méthode

Runs the learning algorithm.
protected InnerRun ( Array observations, Array outputs ) : double
observations Array
outputs Array
Résultat double

OnProgressChanged() protected méthode

Raises the E:ProgressChanged event.
protected OnProgressChanged ( ProgressChangedEventArgs args ) : void
args ProgressChangedEventArgs The ProgressChangedEventArgs instance containing the event data.
Résultat void

Reset() public méthode

Resets the current update steps using the given learning rate.
public Reset ( double rate ) : void
rate double
Résultat void

Run() public méthode

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.
Résultat double

RunEpoch() public méthode

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.
Résultat double