NoisyICA

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Field |
Constr |
Method

Detail:
Field |
Constr |
Method

java.lang.Object
- samer.tools.AnonymousTask
- - samer.tools.NamedTask
  - - samer.models.NoisyICA

All Implemented Interfaces:: Model, Task

public class NoisyICA
extends NamedTask
implements Model

See Also:: Serialized Form

Nested Class Summary
- Nested classes/interfaces inherited from interface samer.models.Model
  Model.Trainer

Field Summary
- Fields inherited from class samer.tools.NamedTask
  node

Constructor Summary

Constructors
Constructor and Description

NoisyICA(int ins, int outs)

NoisyICA(Node node, int inputs, int outputs)

NoisyICA(Vec in, int outs)

Constructors
Constructor and Description
`NoisyICA(int ins, int outs)`
`NoisyICA(Node node, int inputs, int outputs)`
`NoisyICA(Vec in, int outs)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Matrix`	`basisMatrix()`
`void`	`compute()` contract is that getEnergy and getGradient must return correct values for current x after infer and compute has been called, but not necessarily before.
`void`	`dispose()`
`VVector`	`error()`
`Functionx`	`functionx()` This presents a more functional interface to the model so that it can be driven by an optimiser.
`double`	`getEnergy()` return E = -log p(x)
`double[]`	`getGradient()` return dE/dx
`Model`	`getNoiseModel()`
`int`	`getSize()` return size of vector this model expects
`Model`	`getSourceModel()`
`void`	`infer()` should infer values latent variables
`Model.Trainer`	`learnDecayWhenActive()`
`Model.Trainer`	`learnHebbian()`
`Model.Trainer`	`learnLewickiSejnowski()`
`void`	`norms(double[] na)` get basis vector norms into given array
`VVector`	`output()`
`Functionx`	`posterior()`
`VVector`	`reconstruction()`
`void`	`run()`
`void`	`setInferenceTask(Task t)`
`void`	`setInput(Vec in)` model should begin observing this vector
`void`	`setNoiseModel(Model m)`
`void`	`setSourceModel(Model m)`

Methods inherited from class samer.tools.AnonymousTask
starting, stopping

Methods inherited from class samer.tools.NamedTask
getNode, toString

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - NoisyICA
```
public NoisyICA(int ins,
                int outs)
```
  - NoisyICA
```
public NoisyICA(Node node,
                int inputs,
                int outputs)
```
  - NoisyICA
```
public NoisyICA(Vec in,
                int outs)
```
- Method Detail
  - getSourceModel
```
public Model getSourceModel()
```
  - getNoiseModel
```
public Model getNoiseModel()
```
  - setSourceModel
```
public void setSourceModel(Model m)
```
  - setNoiseModel
```
public void setNoiseModel(Model m)
```
  - setInput
```
public void setInput(Vec in)
```
    Description copied from interface: Model
    
    model should begin observing this vector
    
    Specified by:
    
    setInput in interface Model
  - basisMatrix
```
public Matrix basisMatrix()
```
  - output
```
public VVector output()
```
  - error
```
public VVector error()
```
  - reconstruction
```
public VVector reconstruction()
```
  - getSize
```
public int getSize()
```
    Description copied from interface: Model
    
    return size of vector this model expects
    
    Specified by:
    
    getSize in interface Model
  - setInferenceTask
```
public void setInferenceTask(Task t)
```
  - infer
```
public void infer()
```
    Description copied from interface: Model
    
    should infer values latent variables
    
    Specified by:
    
    infer in interface Model
  - compute
```
public void compute()
```
    Description copied from interface: Model
    
    contract is that getEnergy and getGradient must return correct values for current x after infer and compute has been called, but not necessarily before. This is to give model an opportunity to cache values of energy and gradient to avoid repeated computations.
    
    Specified by:
    
    compute in interface Model
  - getEnergy
```
public double getEnergy()
```
    Description copied from interface: Model
    
    return E = -log p(x)
    
    Specified by:
    
    getEnergy in interface Model
  - getGradient
```
public double[] getGradient()
```
    Description copied from interface: Model
    
    return dE/dx
    
    Specified by:
    
    getGradient in interface Model
  - norms
```
public void norms(double[] na)
```
    get basis vector norms into given array
  - run
```
public void run()
```
    Specified by:
    
    run in interface Task
  - dispose
```
public void dispose()
```
    Specified by:
    
    dispose in interface Model
    
    Specified by:
    
    dispose in interface Task
    
    Overrides:
    
    dispose in class NamedTask
  - functionx
```
public Functionx functionx()
```
    Description copied from interface: Model
    
    This presents a more functional interface to the model so that it can be driven by an optimiser. See classes Functionx and MinimiserBase in package samer.maths.opt.
    
    Specified by:
    
    functionx in interface Model
  - posterior
```
public Functionx posterior()
```
  - learnHebbian
```
public Model.Trainer learnHebbian()
```
  - learnLewickiSejnowski
```
public Model.Trainer learnLewickiSejnowski()
```
  - learnDecayWhenActive
```
public Model.Trainer learnDecayWhenActive()
```

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Java-Scheme Laboratory

Class NoisyICA

Nested Class Summary

Nested classes/interfaces inherited from interface samer.models.Model

Field Summary

Fields inherited from class samer.tools.NamedTask

Constructor Summary

Method Summary

Methods inherited from class samer.tools.AnonymousTask

Methods inherited from class samer.tools.NamedTask

Methods inherited from class java.lang.Object

Constructor Detail

NoisyICA

NoisyICA

Method Detail

getSourceModel

getNoiseModel

setSourceModel

setNoiseModel

setInput

basisMatrix

output

error

reconstruction

getSize

setInferenceTask

infer

compute

getEnergy

getGradient

norms

run

dispose

functionx

posterior

learnHebbian

learnLewickiSejnowski

learnDecayWhenActive