public class ModelAquamapsNN extends Object implements Model
| Modifier and Type | Field and Description |
|---|---|
protected String |
absenceTable |
protected org.hibernate.SessionFactory |
connection |
protected String |
fileName |
protected int[] |
layersNeurons |
protected String |
presenceTable |
protected float |
status |
| Constructor and Description |
|---|
ModelAquamapsNN() |
| Modifier and Type | Method and Description |
|---|---|
String |
getDescription() |
List<StatisticalType> |
getInputParameters() |
String |
getName() |
StatisticalType |
getOutput() |
ALG_PROPS[] |
getProperties() |
String |
getResourceLoad() |
String |
getResources() |
float |
getStatus() |
float |
getVersion() |
void |
init(AlgorithmConfiguration Input,
Model previousModel) |
void |
postprocess(AlgorithmConfiguration Input,
Model previousModel) |
static void |
save(String nomeFile,
Neural_Network nn) |
void |
setVersion(float version) |
void |
stop() |
void |
train(AlgorithmConfiguration Input,
Model previousModel) |
protected org.hibernate.SessionFactory connection
protected String fileName
protected String presenceTable
protected String absenceTable
protected float status
protected int[] layersNeurons
public ALG_PROPS[] getProperties()
getProperties in interface Modelpublic String getDescription()
getDescription in interface AlgorithmDescriptorpublic List<StatisticalType> getInputParameters()
getInputParameters in interface AlgorithmDescriptorpublic float getVersion()
getVersion in interface Modelpublic void setVersion(float version)
setVersion in interface Modelpublic void init(AlgorithmConfiguration Input, Model previousModel)
public String getResourceLoad()
getResourceLoad in interface Modelpublic String getResources()
getResources in interface Modelpublic void postprocess(AlgorithmConfiguration Input, Model previousModel)
postprocess in interface Modelpublic void train(AlgorithmConfiguration Input, Model previousModel)
public StatisticalType getOutput()
getOutput in interface AlgorithmDescriptorpublic static void save(String nomeFile, Neural_Network nn)
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