org.jdmp.core.algorithm.classification.mlp

Class MultiLayerNetwork

java.lang.Object

org.jdmp.core.AbstractCoreObject

org.jdmp.core.algorithm.AbstractAlgorithm

org.jdmp.core.algorithm.regression.AbstractRegressor

org.jdmp.core.algorithm.classification.AbstractClassifier

org.jdmp.core.algorithm.classification.mlp.MultiLayerNetwork

All Implemented Interfaces:

Serializable, Cloneable, Algorithm, Classifier, HasAlgorithmMap, Regressor, HasDataSetMap, HasVariableMap, Clearable, CoreObject, HasDescription, HasGUIObject, HasId, HasLabel

public class MultiLayerNetwork
extends AbstractClassifier

See Also:

Serialized Form

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	MultiLayerNetwork.Aggregation
static class	MultiLayerNetwork.BiasType
static class	MultiLayerNetwork.Transfer

Nested classes/interfaces inherited from interface org.jdmp.core.algorithm.Algorithm

Algorithm.EdgeDirection

Field Summary

Fields inherited from class org.jdmp.core.algorithm.regression.AbstractRegressor

mode, OUTPUTERRORALGORITHM, PREDICT, TRAIN

Fields inherited from class org.jdmp.core.AbstractCoreObject

ALL, COLUMN, guiObject, ROW, X, Y, Z

Fields inherited from interface org.jdmp.core.algorithm.classification.Classifier

Factory

Fields inherited from interface org.jdmp.core.algorithm.Algorithm

ALGORITHMARRAY, COMPRESSED, DECOMPRESSED, DIFFERENCE, DIMENSION, HASH, IGNORENAN, INPUT, PREDICTED, RMSE, SOURCE, TARGET, WEIGHT

Fields inherited from interface org.ujmp.core.interfaces.HasId

ID

Fields inherited from interface org.ujmp.core.interfaces.HasLabel

LABEL

Fields inherited from interface org.ujmp.core.interfaces.HasDescription

DESCRIPTION

Constructor Summary

Constructors

Constructor and Description
MultiLayerNetwork(int... neuronCount)
MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation, int... neuronCount)
MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation, MultiLayerNetwork.BiasType bias, int... neuronCount)
MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation, MultiLayerNetwork.Transfer transfer, int... neuronCount)
MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation, MultiLayerNetwork.Transfer transfer, MultiLayerNetwork.BiasType biasType, int... neurons)
MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregationInput, MultiLayerNetwork.Transfer transferInput, MultiLayerNetwork.BiasType biasInput, MultiLayerNetwork.Aggregation aggregationDefault, MultiLayerNetwork.Transfer transferDefault, MultiLayerNetwork.BiasType biasDefault, MultiLayerNetwork.Aggregation aggregationOutput, MultiLayerNetwork.Transfer transferOutput, MultiLayerNetwork.BiasType biasOutput, int... hiddenNeurons)

Method Summary

Methods

Modifier and Type	Method and Description
void	addDesiredOutputMatrix(Matrix m)
void	addInputMatrix(Matrix m)
int	determineOptimalTrainingDuration(ListDataSet dataSet, int numberOfSteps)
Classifier	emptyCopy()
NetworkLayer	getInputLayer()
Variable	getInputVariable()
double	getLearningRate()
List<NetworkLayer>	getNetworkLayerList()
Variable	getOutputDeviationVariable()
NetworkLayer	getOutputLayer()
Matrix	getOutputMatrix()
Variable	getOutputVariable()
Matrix	predictOne(Matrix input)
void	reset()
void	setDesiredOutputVariable(Variable v)
void	setInputVariable(Variable v)
void	setLearningRate(double v)
void	setOutputDeviationVariable(Variable v)
void	setOutputVariable(Variable v)
void	setSampleWeight(double weight)
void	trainAll(ListDataSet dataSet)
void	trainOnce(ListDataSet dataSet)
void	trainOne(Matrix input, Matrix sampleWeight, Matrix desiredOutput)

Methods inherited from class org.jdmp.core.algorithm.regression.AbstractRegressor

getClassCount, getFeatureCount, getInputLabel, getMode, getOutputErrorAlgorithm, getTargetLabel, getWeightLabel, isDiscrete, predictAll, predictOne, setInputLabel, setMode, setOutputErrorAlgorithm, setTargetLabel, setWeightLabel, trainOne, trainOne

Methods inherited from class org.jdmp.core.algorithm.AbstractAlgorithm

addVariableKey, calculate, calculate, calculate, calculate, calculateObjects, calculateObjects, calculateObjects, clear, getAlgorithmMap, getDataSetMap, getDescription, getEdgeDirection, getEdgeLabel, getId, getInputKeys, getLabel, getLabelObject, getOutputKeys, getVariableKeys, getVariableMap, setAlgorithm, setDescription, setEdgeDirection, setEdgeLabel, setId, setLabel, setVariable, setVariables, toString

Methods inherited from class org.jdmp.core.AbstractCoreObject

clone, fireValueChanged, getCoreObjectId, getGUIObject, showGUI

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.jdmp.core.algorithm.regression.Regressor

getClassCount, getFeatureCount, getInputLabel, getTargetLabel, isDiscrete, predictAll, predictOne, trainOne, trainOne

Methods inherited from interface org.ujmp.core.interfaces.CoreObject

clone, getCoreObjectId

Methods inherited from interface org.ujmp.core.interfaces.HasGUIObject

fireValueChanged, getGUIObject, showGUI

Constructor Detail

MultiLayerNetwork

public MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregationInput,
                 MultiLayerNetwork.Transfer transferInput,
                 MultiLayerNetwork.BiasType biasInput,
                 MultiLayerNetwork.Aggregation aggregationDefault,
                 MultiLayerNetwork.Transfer transferDefault,
                 MultiLayerNetwork.BiasType biasDefault,
                 MultiLayerNetwork.Aggregation aggregationOutput,
                 MultiLayerNetwork.Transfer transferOutput,
                 MultiLayerNetwork.BiasType biasOutput,
                 int... hiddenNeurons)

MultiLayerNetwork

public MultiLayerNetwork(int... neuronCount)

MultiLayerNetwork

public MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation,
                 MultiLayerNetwork.Transfer transfer,
                 int... neuronCount)

MultiLayerNetwork

public MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation,
                 MultiLayerNetwork.BiasType bias,
                 int... neuronCount)

MultiLayerNetwork

public MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation,
                 int... neuronCount)

MultiLayerNetwork

public MultiLayerNetwork(MultiLayerNetwork.Aggregation aggregation,
                 MultiLayerNetwork.Transfer transfer,
                 MultiLayerNetwork.BiasType biasType,
                 int... neurons)

Method Detail

setOutputVariable

public void setOutputVariable(Variable v)

setOutputDeviationVariable

public void setOutputDeviationVariable(Variable v)

setLearningRate

public void setLearningRate(double v)

getLearningRate

public double getLearningRate()

reset

public void reset()

getOutputLayer

public NetworkLayer getOutputLayer()

getInputLayer

public NetworkLayer getInputLayer()

getInputVariable

public Variable getInputVariable()

setInputVariable

public void setInputVariable(Variable v)

setDesiredOutputVariable

public void setDesiredOutputVariable(Variable v)

addInputMatrix

public void addInputMatrix(Matrix m)

setSampleWeight

public void setSampleWeight(double weight)

addDesiredOutputMatrix

public void addDesiredOutputMatrix(Matrix m)

getOutputVariable

public Variable getOutputVariable()

getOutputDeviationVariable

public Variable getOutputDeviationVariable()

getNetworkLayerList

public List<NetworkLayer> getNetworkLayerList()

predictOne

public Matrix predictOne(Matrix input)

getOutputMatrix

public Matrix getOutputMatrix()

trainOne

public void trainOne(Matrix input,
            Matrix sampleWeight,
            Matrix desiredOutput)

Specified by:

trainOne in interface Regressor

Overrides:

trainOne in class AbstractRegressor

determineOptimalTrainingDuration

public int determineOptimalTrainingDuration(ListDataSet dataSet,
                                   int numberOfSteps)
                                     throws Exception

Throws:

Exception

trainAll

public void trainAll(ListDataSet dataSet)

trainOnce

public void trainOnce(ListDataSet dataSet)
               throws Exception

Throws:

Exception

emptyCopy

public Classifier emptyCopy()