org.gcube.dataanalysis.ecoengine.models
Class FeedForwardNN

java.lang.Object
  extended by org.gcube.dataanalysis.ecoengine.models.ModelAquamapsNN
      extended by org.gcube.dataanalysis.ecoengine.models.FeedForwardNN
All Implemented Interfaces:
Model

public class FeedForwardNN
extends ModelAquamapsNN


Field Summary
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
FeedForwardNN()
           
 
Method Summary
 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


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