nuroko.module

Class TrainingOp

java.lang.Object

nuroko.module.AComponent

nuroko.module.AOperationComponent

nuroko.module.TrainingOp

All Implemented Interfaces:

Cloneable, Iterable<IComponent>, IComponent, IFunction<mikera.vectorz.AVector,mikera.vectorz.AVector>, IInput, IInputOutput, IInputState, IModule, IOutput, IOutputState, IParameterised, ISynthesiser, IThinker, ITrainable

public class TrainingOp
extends AOperationComponent

Field Summary

Fields

Modifier and Type	Field and Description
protected mikera.vectorz.Vector	input
protected mikera.vectorz.Vector	inputGradient
protected mikera.vectorz.Vector	output
protected mikera.vectorz.Vector	outputGradient

Fields inherited from class nuroko.module.AOperationComponent

length

Constructor Summary

Constructors

Constructor and Description
TrainingOp(int length, mikera.vectorz.Op op)

Method Summary

Methods

Modifier and Type	Method and Description
TrainingOp	clone() Creates a clone of a module, including a deep copy of any mutable state.
LossFunction	getDefaultLossFunction() Returns the default loss function that should be used
mikera.vectorz.Vector	getInput()
mikera.vectorz.Vector	getInputGradient()
IInputState	getInputState()
mikera.vectorz.Vector	getOutput()
mikera.vectorz.Vector	getOutputGradient()
boolean	hasDifferentTrainingThinking()
void	setInput(mikera.vectorz.AVector input)
void	thinkInternal() Thinks within the scope of the component.
void	thinkInternalTraining() Thinks within the scope of the component.
String	toString()
void	trainGradientInternal(double factor) Abstract method for training gradients.

Methods inherited from class nuroko.module.AOperationComponent

getComponents, getGradient, getInputLength, getOutputLength, getParameters

Methods inherited from class nuroko.module.AComponent

applyConstraints, applyConstraintsInternal, generate, generate, getComponent, getConstraints, getDownStack, getLearnFactor, getModules, getParameterLength, getUpStack, initRandom, isStochastic, isSynthesiser, iterator, setConstraint, setLearnFactor, setOutput, think, think, topComponent, train, train, trainSynth, trainSynth

Methods inherited from class java.lang.Object

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

Field Detail

input

protected final mikera.vectorz.Vector input

inputGradient

protected final mikera.vectorz.Vector inputGradient

output

protected final mikera.vectorz.Vector output

outputGradient

protected final mikera.vectorz.Vector outputGradient

Constructor Detail

TrainingOp

public TrainingOp(int length,
          mikera.vectorz.Op op)

Method Detail

thinkInternal

public void thinkInternal()

Description copied from interface: IComponent

Thinks within the scope of the component. Updates component's output.

thinkInternalTraining

public void thinkInternalTraining()

Description copied from interface: IComponent

Thinks within the scope of the component. Update's component's output. May be different from regular thinking.

Specified by:

thinkInternalTraining in interface IComponent

Specified by:

thinkInternalTraining in interface ITrainable

Overrides:

thinkInternalTraining in class AComponent

trainGradientInternal

public void trainGradientInternal(double factor)

Description copied from class: AComponent

Abstract method for training gradients. Assumes use of the current activation states for all inputs/outputs. Should overwrite inputGradient, and adjust gradient for all parameters. Should apply own internal learn rate factor

Specified by:

trainGradientInternal in interface IComponent

Specified by:

trainGradientInternal in class AComponent

hasDifferentTrainingThinking

public boolean hasDifferentTrainingThinking()

getDefaultLossFunction

public LossFunction getDefaultLossFunction()

Description copied from interface: IComponent

Returns the default loss function that should be used

Specified by:

getDefaultLossFunction in interface IComponent

Overrides:

getDefaultLossFunction in class AComponent

Returns:

clone

public TrainingOp 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 IComponent

Specified by:

clone in interface IModule

Specified by:

clone in interface IParameterised

Specified by:

clone in interface ISynthesiser

Specified by:

clone in interface IThinker

Specified by:

clone in interface ITrainable

Specified by:

clone in class AOperationComponent

Returns:

toString

public String toString()

Overrides:

toString in class Object

getInputState

public IInputState getInputState()

Specified by:

getInputState in interface IComponent

Overrides:

getInputState in class AComponent

getInput

public mikera.vectorz.Vector getInput()

getOutput

public mikera.vectorz.Vector getOutput()

getOutputGradient

public mikera.vectorz.Vector getOutputGradient()

setInput

public void setInput(mikera.vectorz.AVector input)

Specified by:

setInput in interface IInputState

Overrides:

setInput in class AComponent

getInputGradient

public mikera.vectorz.Vector getInputGradient()