📄 neuralnetwork.java
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/**
* This file is generated by BorlandXML.
*/
package com.prudsys.pdm.Adapters.PmmlVersion20;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Collection;
import java.util.Collections;
import java.util.Iterator;
import java.util.List;
/**
* The NeuralNetwork class represents the element "NeuralNetwork" with the content
* model defined as follows:
* <p>
* <!ELEMENT NeuralNetwork (Extension*,MiningSchema,ModelStats?,NeuralInputs,NeuralLayer+,NeuralOutputs?,Extension*)><br>
*/
public class NeuralNetwork extends com.borland.xml.toolkit.XmlObject
{
/** xml tag name of this element. */
public static String _tagName = "NeuralNetwork";
/** Defines a threshold attribute */
public com.borland.xml.toolkit.Attribute threshold = new com.borland.xml.toolkit.Attribute("threshold", "CDATA", "IMPLIED", "");
/** Defines a modelName attribute */
public com.borland.xml.toolkit.Attribute modelName = new com.borland.xml.toolkit.Attribute("modelName", "CDATA", "IMPLIED", "");
/** Defines a algorithmName attribute */
public com.borland.xml.toolkit.Attribute algorithmName = new com.borland.xml.toolkit.Attribute("algorithmName", "CDATA", "IMPLIED", "");
/** Defines a functionName attribute */
public com.borland.xml.toolkit.Attribute functionName = new com.borland.xml.toolkit.Attribute("functionName", "(associationRules | sequences | classification | regression | clustering)", "REQUIRED", "");
/** Defines a activationFunction attribute */
public com.borland.xml.toolkit.Attribute activationFunction = new com.borland.xml.toolkit.Attribute("activationFunction", "(threshold | logistic | tanh | identity | softmax)", "REQUIRED", "");
/** Defines a list of Extension objects. */
protected ArrayList _objExtension = new ArrayList();
/** Defines a MiningSchema object */
protected MiningSchema _objMiningSchema;
/** Defines a ModelStats object */
protected ModelStats _objModelStats;
/** Defines a NeuralInputs object */
protected NeuralInputs _objNeuralInputs;
/** Defines a list of NeuralLayer objects. */
protected ArrayList _objNeuralLayer = new ArrayList();
/** Defines a NeuralOutputs object */
protected NeuralOutputs _objNeuralOutputs;
/** Defines a list of Extension objects. */
protected ArrayList _objExtension1 = new ArrayList();
/**
* Creates an empty NeuralNetwork object
*/
public NeuralNetwork()
{
super();
}
/**
* Gets the value of "threshold" attribute.
*/
public String getThreshold()
{
return threshold.getValue();
}
/**
* Replaces the existing attribute value with a new value.
* @param value New value.
*/
public void setThreshold(String value_)
{
threshold.setValue(value_ );
}
/**
* Gets the value of "modelName" attribute.
*/
public String getModelName()
{
return modelName.getValue();
}
/**
* Replaces the existing attribute value with a new value.
* @param value New value.
*/
public void setModelName(String value_)
{
modelName.setValue(value_ );
}
/**
* Gets the value of "algorithmName" attribute.
*/
public String getAlgorithmName()
{
return algorithmName.getValue();
}
/**
* Replaces the existing attribute value with a new value.
* @param value New value.
*/
public void setAlgorithmName(String value_)
{
algorithmName.setValue(value_ );
}
/**
* Gets the value of "functionName" attribute.
*/
public String getFunctionName()
{
return functionName.getValue();
}
/**
* Replaces the existing attribute value with a new value.
* @param value New value.
*/
public void setFunctionName(String value_)
{
functionName.setValue(value_ );
}
/**
* Gets the value of "activationFunction" attribute.
*/
public String getActivationFunction()
{
return activationFunction.getValue();
}
/**
* Replaces the existing attribute value with a new value.
* @param value New value.
*/
public void setActivationFunction(String value_)
{
activationFunction.setValue(value_ );
}
/**
* Returns an array of Extension objects. The length of the returned
* array is zero if the list of Extension object is empty.
*/
public Extension[] getExtension()
{
return (Extension[])_objExtension.toArray(new Extension[0]);
}
/**
* Replaces all existing Extension objects with a new array of
* Extension objects.
* @param objArray an array of Extension objects.
*/
public void setExtension(Extension[] objArray)
{
if( objArray == null || objArray.length == 0 )
this._objExtension.clear();
else
{
this._objExtension = new ArrayList(Arrays.asList(objArray));
for( int i=0; i<objArray.length; i++ )
{
if( objArray[i] != null )
objArray[i]._setParent(this);
}
}
}
/**
* Gets the Extension object at the specified index.
* @param index index of the returned object.
* @throws IndexOutOfBoundsException if index is out of range.
*/
public Extension getExtension(int index)
{
return (Extension)_objExtension.get(index);
}
/**
* Replaces an existing Extension object at the specified index with
* a new Extension object.
* @param index index of replaced object.
* @throws IndexOutOfBoundsException if index is out of range.
*/
public void setExtension(int index, Extension obj)
{
if( obj == null )
removeExtension(index);
else
{
_objExtension.set(index, obj);
obj._setParent(this);
}
}
/**
* Returns the number of Extension objects in the list.
*/
public int getExtensionCount()
{
return _objExtension.size();
}
/**
* Returns <code>true</code> if there is no Extension object in the list; otherwise,
* the method returns <code>false</code>.
*/
public boolean isNoExtension()
{
return _objExtension.size() == 0;
}
/**
* Returns a read-only list of Extension objects.
*/
public List getExtensionList()
{
return Collections.unmodifiableList(_objExtension);
}
/**
* Adds a new Extension object at the end of the list.
* @return <code>true</code> if the new object is added to the list; otherwise,
* the method returns <code>false</code>.
*/
public boolean addExtension(Extension obj)
{
if( obj==null )
return false;
obj._setParent(this);
return _objExtension.add(obj);
}
/**
* Adds a list of new Extension objects at the end of the list.
* @return <code>true</code> if the list was changed; otherwise, the method
* returns <code>false</code>.
*/
public boolean addExtension(Collection coExtension)
{
if( coExtension==null )
return false;
java.util.Iterator it = coExtension.iterator();
while( it.hasNext() )
{
Object obj = it.next();
if( obj != null && obj instanceof com.borland.xml.toolkit.XmlObject )
((com.borland.xml.toolkit.XmlObject)obj)._setParent(this);
}
return _objExtension.addAll(coExtension);
}
/**
* Removes an existing Extension object at the specified index.
* @return The removed object.
*/
public Extension removeExtension(int index)
{
return (Extension)_objExtension.remove(index);
}
/**
* Removes the specified Extension object.
* @return <code>true</code> if this list contains the object; otherwise,
* the method returns <code>false</code>.
*/
public boolean removeExtension(Extension obj)
{
return _objExtension.remove(obj);
}
/**
* Clears all Extension objects from the list.
*/
public void clearExtensionList()
{
_objExtension.clear();
}
/**
* Gets MiningSchema object.
*/
public MiningSchema getMiningSchema()
{
return _objMiningSchema;
}
/**
* Replaces the existing MiningSchema object with a new object.
* If you pass in a null value to this method, the MiningSchema object is
* cleared and will not be marshaled.
* @param obj A new object.
*/
public void setMiningSchema(MiningSchema obj)
{
this._objMiningSchema = obj;
if( obj == null )
return;
obj._setParent(this);
}
/**
* Gets ModelStats object.
*/
public ModelStats getModelStats()
{
return _objModelStats;
}
/**
* Replaces the existing ModelStats object with a new object.
* If you pass in a null value to this method, the ModelStats object is
* cleared and will not be marshaled.
* @param obj A new object.
*/
public void setModelStats(ModelStats obj)
{
this._objModelStats = obj;
if( obj == null )
return;
obj._setParent(this);
}
/**
* Gets NeuralInputs object.
*/
public NeuralInputs getNeuralInputs()
{
return _objNeuralInputs;
}
/**
* Replaces the existing NeuralInputs object with a new object.
* If you pass in a null value to this method, the NeuralInputs object is
* cleared and will not be marshaled.
* @param obj A new object.
*/
public void setNeuralInputs(NeuralInputs obj)
{
this._objNeuralInputs = obj;
if( obj == null )
return;
obj._setParent(this);
}
/**
* Returns an array of NeuralLayer objects. The length of the returned
* array is zero if the list of NeuralLayer object is empty.
*/
public NeuralLayer[] getNeuralLayer()
{
return (NeuralLayer[])_objNeuralLayer.toArray(new NeuralLayer[0]);
}
/**
* Replaces all existing NeuralLayer objects with a new array of
* NeuralLayer objects.
* @param objArray an array of NeuralLayer objects.
*/
public void setNeuralLayer(NeuralLayer[] objArray)
{
if( objArray == null || objArray.length == 0 )
this._objNeuralLayer.clear();
else
{
this._objNeuralLayer = new ArrayList(Arrays.asList(objArray));
for( int i=0; i<objArray.length; i++ )
{
if( objArray[i] != null )
objArray[i]._setParent(this);
}
}
}
/**
* Gets the NeuralLayer object at the specified index.
* @param index index of the returned object.
* @throws IndexOutOfBoundsException if index is out of range.
*/
public NeuralLayer getNeuralLayer(int index)
{
return (NeuralLayer)_objNeuralLayer.get(index);
}
/**
* Replaces an existing NeuralLayer object at the specified index with
* a new NeuralLayer object.
* @param index index of replaced object.
* @throws IndexOutOfBoundsException if index is out of range.
*/
public void setNeuralLayer(int index, NeuralLayer obj)
{
if( obj == null )
removeNeuralLayer(index);
else
{
_objNeuralLayer.set(index, obj);
obj._setParent(this);
}
}
/**
* Returns the number of NeuralLayer objects in the list.
*/
public int getNeuralLayerCount()
{
return _objNeuralLayer.size();
}
/**
* Returns <code>true</code> if there is no NeuralLayer object in the list; otherwise,
* the method returns <code>false</code>.
*/
public boolean isNoNeuralLayer()
{
return _objNeuralLayer.size() == 0;
}
/**
* Returns a read-only list of NeuralLayer objects.
*/
public List getNeuralLayerList()
{
return Collections.unmodifiableList(_objNeuralLayer);
}
/**
* Adds a new NeuralLayer object at the end of the list.
* @return <code>true</code> if the new object is added to the list; otherwise,
* the method returns <code>false</code>.
*/
public boolean addNeuralLayer(NeuralLayer obj)
{
if( obj==null )
return false;
obj._setParent(this);
return _objNeuralLayer.add(obj);
}
/**
* Adds a list of new NeuralLayer objects at the end of the list.
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