nuroko.module

Class AThinkStack

java.lang.Object

nuroko.module.AThinkStack

All Implemented Interfaces:

Cloneable, IInput, IInputOutput, IModule, IOutput, IParameterised, IThinker

public abstract class AThinkStack
extends Object
implements IThinker, IParameterised

Constructor Summary

Constructors

Constructor and Description
AThinkStack()

Method Summary

Methods

Modifier and Type	Method and Description
abstract AThinkStack	clone() Creates a clone of a module, including a deep copy of any mutable state.
abstract mikera.vectorz.AVector	getData(int i)
mikera.vectorz.AVector	getInput()
abstract AWeightLayer	getLayer(int i)
abstract int	getLayerCount()
mikera.vectorz.AVector	getOutput()
int	getParameterLength() Returns the length of the parameter vector for this model
abstract void	train(mikera.vectorz.AVector input, mikera.vectorz.AVector target)
abstract void	trainGradient(mikera.vectorz.AVector input, mikera.vectorz.AVector outputGradient, mikera.vectorz.AVector inputGradient, double factor, boolean skipTopDerivative) Trains with a direct gradient.

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface nuroko.core.IThinker

think

Methods inherited from interface nuroko.core.IOutput

getOutputLength

Methods inherited from interface nuroko.core.IInput

getInputLength

Methods inherited from interface nuroko.core.IModule

getComponents

Methods inherited from interface nuroko.core.IParameterised

getGradient, getParameters

Constructor Detail

AThinkStack

public AThinkStack()

Method Detail

getLayerCount

public abstract int getLayerCount()

getLayer

public abstract AWeightLayer getLayer(int i)

getData

public abstract mikera.vectorz.AVector getData(int i)

getOutput

public mikera.vectorz.AVector getOutput()

getInput

public mikera.vectorz.AVector getInput()

clone

public abstract AThinkStack clone()

Description copied from interface: IModule

Creates a clone of a module, including a deep copy of any mutable state.

Specified by:

clone in interface IModule

Specified by:

clone in interface IParameterised

Specified by:

clone in interface IThinker

Overrides:

clone in class Object

Returns:

getParameterLength

public int getParameterLength()

Description copied from interface: IParameterised

Returns the length of the parameter vector for this model

Specified by:

getParameterLength in interface IParameterised

Returns:

train

public abstract void train(mikera.vectorz.AVector input,
         mikera.vectorz.AVector target)

trainGradient

public abstract void trainGradient(mikera.vectorz.AVector input,
                 mikera.vectorz.AVector outputGradient,
                 mikera.vectorz.AVector inputGradient,
                 double factor,
                 boolean skipTopDerivative)

Trains with a direct gradient. Assumes think has been called immediately prior to set any intermediate values.