org.gcube.dataanalysis.ecoengine.models

Class FeedForwardNN

java.lang.Object

org.gcube.dataanalysis.ecoengine.models.ModelAquamapsNN

org.gcube.dataanalysis.ecoengine.models.FeedForwardNN

All Implemented Interfaces:

Model

public class FeedForwardNN
extends ModelAquamapsNN

Field Summary

Fields

Modifier and Type	Field and Description
protected String	dbcolumns
protected String[]	dbcolumnsList
protected static String	LayersNeurons
protected float	learningThr
protected static String	LearningThreshold
protected double	maxfactor
protected int	maxiter
protected static String	MaxIterations
protected double	minfactor
protected static String	ModelName
protected Neural_Network	nn
protected static String	Reference
protected String	trainingColumn
protected String	trainingDataSet
protected static String	TrainingDataSet
protected String	trainingDataSetColumns
protected static String	TrainingDataSetColumns
protected static String	TrainingDataSetTargetColumn
protected static String	UserName

Fields inherited from class org.gcube.dataanalysis.ecoengine.models.ModelAquamapsNN

absenceTable, connection, fileName, layersNeurons, presenceTable, status

Constructor Summary

Constructors

Constructor and Description
FeedForwardNN()

Method Summary

Methods

Modifier and Type	Method and Description
String	getDescription()
List<StatisticalType>	getInputParameters()
String	getName()
float	getStatus()
void	init(AlgorithmConfiguration config, Model previousModel)
void	train(AlgorithmConfiguration Input, Model previousModel)

Methods inherited from class org.gcube.dataanalysis.ecoengine.models.ModelAquamapsNN

getOutput, getProperties, getResourceLoad, getResources, getVersion, postprocess, save, setVersion, stop

Methods inherited from class java.lang.Object

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

Field Detail

TrainingDataSet

protected static String TrainingDataSet

trainingDataSet

protected String trainingDataSet

TrainingDataSetColumns

protected static String TrainingDataSetColumns

trainingDataSetColumns

protected String trainingDataSetColumns

TrainingDataSetTargetColumn

protected static String TrainingDataSetTargetColumn

trainingColumn

protected String trainingColumn

dbcolumns

protected String dbcolumns

dbcolumnsList

protected String[] dbcolumnsList

LayersNeurons

protected static String LayersNeurons

Reference

protected static String Reference

LearningThreshold

protected static String LearningThreshold

MaxIterations

protected static String MaxIterations

ModelName

protected static String ModelName

UserName

protected static String UserName

learningThr

protected float learningThr

maxiter

protected int maxiter

nn

protected Neural_Network nn

maxfactor

protected double maxfactor

minfactor

protected double minfactor

Constructor Detail

FeedForwardNN

public FeedForwardNN()

Method Detail

getName

public String getName()

Specified by:

getName in interface Model

Overrides:

getName in class ModelAquamapsNN

getDescription

public String getDescription()

Specified by:

getDescription in interface Model

Overrides:

getDescription in class ModelAquamapsNN

getStatus

public float getStatus()

Specified by:

getStatus in interface Model

Overrides:

getStatus in class ModelAquamapsNN

getInputParameters

public List<StatisticalType> getInputParameters()

Specified by:

getInputParameters in interface Model

Overrides:

getInputParameters in class ModelAquamapsNN

init

public void init(AlgorithmConfiguration config,
        Model previousModel)

Specified by:

init in interface Model

Overrides:

init in class ModelAquamapsNN

train

public void train(AlgorithmConfiguration Input,
         Model previousModel)

Specified by:

train in interface Model

Overrides:

train in class ModelAquamapsNN