org.dmg.pmml.pmml_4_1.descr
Class NeuralNetwork

java.lang.Object
  extended by org.dmg.pmml.pmml_4_1.descr.NeuralNetwork
All Implemented Interfaces:
Serializable

public class NeuralNetwork
extends Object
implements Serializable

Java class for anonymous complex type.

The following schema fragment specifies the expected content contained within this class.

 <complexType>
   <complexContent>
     <restriction base="{http://www.w3.org/2001/XMLSchema}anyType">
       <sequence>
         <element ref="{http://www.dmg.org/PMML-4_1}Extension" maxOccurs="unbounded" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}MiningSchema"/>
         <element ref="{http://www.dmg.org/PMML-4_1}Output" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}ModelStats" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}ModelExplanation" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}Targets" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}LocalTransformations" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}NeuralInputs"/>
         <element ref="{http://www.dmg.org/PMML-4_1}NeuralLayer" maxOccurs="unbounded"/>
         <element ref="{http://www.dmg.org/PMML-4_1}NeuralOutputs" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}ModelVerification" minOccurs="0"/>
         <element ref="{http://www.dmg.org/PMML-4_1}Extension" maxOccurs="unbounded" minOccurs="0"/>
       </sequence>
       <attribute name="modelName" type="{http://www.w3.org/2001/XMLSchema}string" />
       <attribute name="functionName" use="required" type="{http://www.dmg.org/PMML-4_1}MINING-FUNCTION" />
       <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" />
       <attribute name="activationFunction" use="required" type="{http://www.dmg.org/PMML-4_1}ACTIVATION-FUNCTION" />
       <attribute name="normalizationMethod" type="{http://www.dmg.org/PMML-4_1}NN-NORMALIZATION-METHOD" default="none" />
       <attribute name="threshold" type="{http://www.dmg.org/PMML-4_1}REAL-NUMBER" default="0" />
       <attribute name="width" type="{http://www.dmg.org/PMML-4_1}REAL-NUMBER" />
       <attribute name="altitude" type="{http://www.dmg.org/PMML-4_1}REAL-NUMBER" default="1.0" />
       <attribute name="numberOfLayers" type="{http://www.w3.org/2001/XMLSchema}nonNegativeInteger" />
       <attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" />
     </restriction>
   </complexContent>
 </complexType>
 

See Also:
Serialized Form

Field Summary
protected  ACTIVATIONFUNCTION activationFunction
           
protected  String algorithmName
           
protected  Double altitude
           
protected  List<Object> extensionsAndNeuralLayersAndNeuralInputs
           
protected  MININGFUNCTION functionName
           
protected  Boolean isScorable
           
protected  String modelName
           
protected  NNNORMALIZATIONMETHOD normalizationMethod
           
protected  BigInteger numberOfLayers
           
protected  Double threshold
           
protected  Double width
           
 
Constructor Summary
NeuralNetwork()
           
 
Method Summary
 ACTIVATIONFUNCTION getActivationFunction()
          Gets the value of the activationFunction property.
 String getAlgorithmName()
          Gets the value of the algorithmName property.
 double getAltitude()
          Gets the value of the altitude property.
 List<Object> getExtensionsAndNeuralLayersAndNeuralInputs()
          Gets the value of the extensionsAndNeuralLayersAndNeuralInputs property.
 MININGFUNCTION getFunctionName()
          Gets the value of the functionName property.
 String getModelName()
          Gets the value of the modelName property.
 NNNORMALIZATIONMETHOD getNormalizationMethod()
          Gets the value of the normalizationMethod property.
 BigInteger getNumberOfLayers()
          Gets the value of the numberOfLayers property.
 double getThreshold()
          Gets the value of the threshold property.
 Double getWidth()
          Gets the value of the width property.
 boolean isIsScorable()
          Gets the value of the isScorable property.
 void setActivationFunction(ACTIVATIONFUNCTION value)
          Sets the value of the activationFunction property.
 void setAlgorithmName(String value)
          Sets the value of the algorithmName property.
 void setAltitude(Double value)
          Sets the value of the altitude property.
 void setFunctionName(MININGFUNCTION value)
          Sets the value of the functionName property.
 void setIsScorable(Boolean value)
          Sets the value of the isScorable property.
 void setModelName(String value)
          Sets the value of the modelName property.
 void setNormalizationMethod(NNNORMALIZATIONMETHOD value)
          Sets the value of the normalizationMethod property.
 void setNumberOfLayers(BigInteger value)
          Sets the value of the numberOfLayers property.
 void setThreshold(Double value)
          Sets the value of the threshold property.
 void setWidth(Double value)
          Sets the value of the width property.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

extensionsAndNeuralLayersAndNeuralInputs

protected List<Object> extensionsAndNeuralLayersAndNeuralInputs

modelName

protected String modelName

functionName

protected MININGFUNCTION functionName

algorithmName

protected String algorithmName

activationFunction

protected ACTIVATIONFUNCTION activationFunction

normalizationMethod

protected NNNORMALIZATIONMETHOD normalizationMethod

threshold

protected Double threshold

width

protected Double width

altitude

protected Double altitude

numberOfLayers

protected BigInteger numberOfLayers

isScorable

protected Boolean isScorable
Constructor Detail

NeuralNetwork

public NeuralNetwork()
Method Detail

getExtensionsAndNeuralLayersAndNeuralInputs

public List<Object> getExtensionsAndNeuralLayersAndNeuralInputs()
Gets the value of the extensionsAndNeuralLayersAndNeuralInputs property.

This accessor method returns a reference to the live list, not a snapshot. Therefore any modification you make to the returned list will be present inside the JAXB object. This is why there is not a set method for the extensionsAndNeuralLayersAndNeuralInputs property.

For example, to add a new item, do as follows:

    getExtensionsAndNeuralLayersAndNeuralInputs().add(newItem);
 

Objects of the following type(s) are allowed in the list NeuralLayer ModelStats NeuralOutputs Targets ModelExplanation ModelVerification MiningSchema Output NeuralInputs LocalTransformations Extension


getModelName

public String getModelName()
Gets the value of the modelName property.

Returns:
possible object is String

setModelName

public void setModelName(String value)
Sets the value of the modelName property.

Parameters:
value - allowed object is String

getFunctionName

public MININGFUNCTION getFunctionName()
Gets the value of the functionName property.

Returns:
possible object is MININGFUNCTION

setFunctionName

public void setFunctionName(MININGFUNCTION value)
Sets the value of the functionName property.

Parameters:
value - allowed object is MININGFUNCTION

getAlgorithmName

public String getAlgorithmName()
Gets the value of the algorithmName property.

Returns:
possible object is String

setAlgorithmName

public void setAlgorithmName(String value)
Sets the value of the algorithmName property.

Parameters:
value - allowed object is String

getActivationFunction

public ACTIVATIONFUNCTION getActivationFunction()
Gets the value of the activationFunction property.

Returns:
possible object is ACTIVATIONFUNCTION

setActivationFunction

public void setActivationFunction(ACTIVATIONFUNCTION value)
Sets the value of the activationFunction property.

Parameters:
value - allowed object is ACTIVATIONFUNCTION

getNormalizationMethod

public NNNORMALIZATIONMETHOD getNormalizationMethod()
Gets the value of the normalizationMethod property.

Returns:
possible object is NNNORMALIZATIONMETHOD

setNormalizationMethod

public void setNormalizationMethod(NNNORMALIZATIONMETHOD value)
Sets the value of the normalizationMethod property.

Parameters:
value - allowed object is NNNORMALIZATIONMETHOD

getThreshold

public double getThreshold()
Gets the value of the threshold property.

Returns:
possible object is Double

setThreshold

public void setThreshold(Double value)
Sets the value of the threshold property.

Parameters:
value - allowed object is Double

getWidth

public Double getWidth()
Gets the value of the width property.

Returns:
possible object is Double

setWidth

public void setWidth(Double value)
Sets the value of the width property.

Parameters:
value - allowed object is Double

getAltitude

public double getAltitude()
Gets the value of the altitude property.

Returns:
possible object is Double

setAltitude

public void setAltitude(Double value)
Sets the value of the altitude property.

Parameters:
value - allowed object is Double

getNumberOfLayers

public BigInteger getNumberOfLayers()
Gets the value of the numberOfLayers property.

Returns:
possible object is BigInteger

setNumberOfLayers

public void setNumberOfLayers(BigInteger value)
Sets the value of the numberOfLayers property.

Parameters:
value - allowed object is BigInteger

isIsScorable

public boolean isIsScorable()
Gets the value of the isScorable property.

Returns:
possible object is Boolean

setIsScorable

public void setIsScorable(Boolean value)
Sets the value of the isScorable property.

Parameters:
value - allowed object is Boolean


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