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package org.dmg.pmml;

import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import javax.xml.bind.annotation.XmlAccessType;
import javax.xml.bind.annotation.XmlAccessorType;
import javax.xml.bind.annotation.XmlAttribute;
import javax.xml.bind.annotation.XmlElement;
import javax.xml.bind.annotation.XmlRootElement;
import javax.xml.bind.annotation.XmlType;
import javax.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import org.dmg.pmml.adapters.IntegerAdapter;


/**
 * 

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_2}Extension" maxOccurs="unbounded" minOccurs="0"/>
 *         <element ref="{http://www.dmg.org/PMML-4_2}Neuron" maxOccurs="unbounded"/>
 *       </sequence>
 *       <attribute name="numberOfNeurons" type="{http://www.dmg.org/PMML-4_2}INT-NUMBER" />
 *       <attribute name="activationFunction" type="{http://www.dmg.org/PMML-4_2}ACTIVATION-FUNCTION" />
 *       <attribute name="threshold" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
 *       <attribute name="width" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
 *       <attribute name="altitude" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
 *       <attribute name="normalizationMethod" type="{http://www.dmg.org/PMML-4_2}NN-NORMALIZATION-METHOD" />
 *     </restriction>
 *   </complexContent>
 * </complexType>
 * 
* * */ @XmlAccessorType(XmlAccessType.FIELD) @XmlType(name = "", propOrder = { "extensions", "neurons" }) @XmlRootElement(name = "NeuralLayer", namespace = "http://www.dmg.org/PMML-4_2") public class NeuralLayer extends org.dmg.pmml.PMMLObject implements HasExtensions { @XmlAttribute(name = "numberOfNeurons") @XmlJavaTypeAdapter(IntegerAdapter.class) private Integer numberOfNeurons; @XmlAttribute(name = "activationFunction") private ActivationFunctionType activationFunction; @XmlAttribute(name = "threshold") private Double threshold; @XmlAttribute(name = "width") private Double width; @XmlAttribute(name = "altitude") private Double altitude; @XmlAttribute(name = "normalizationMethod") private NnNormalizationMethodType normalizationMethod; @XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_2") private List extensions; @XmlElement(name = "Neuron", namespace = "http://www.dmg.org/PMML-4_2", required = true) private List neurons; public NeuralLayer() { super(); } public NeuralLayer(final List neurons) { super(); this.neurons = neurons; } /** * Gets the value of the numberOfNeurons property. * * @return * possible object is * {@link String } * */ public Integer getNumberOfNeurons() { return numberOfNeurons; } /** * Sets the value of the numberOfNeurons property. * * @param numberOfNeurons * allowed object is * {@link String } * */ public NeuralLayer setNumberOfNeurons(Integer numberOfNeurons) { this.numberOfNeurons = numberOfNeurons; return this; } /** * Gets the value of the activationFunction property. * * @return * possible object is * {@link ActivationFunctionType } * */ public ActivationFunctionType getActivationFunction() { return activationFunction; } /** * Sets the value of the activationFunction property. * * @param activationFunction * allowed object is * {@link ActivationFunctionType } * */ public NeuralLayer setActivationFunction(ActivationFunctionType activationFunction) { this.activationFunction = activationFunction; return this; } /** * Gets the value of the threshold property. * * @return * possible object is * {@link Double } * */ public Double getThreshold() { return threshold; } /** * Sets the value of the threshold property. * * @param threshold * allowed object is * {@link Double } * */ public NeuralLayer setThreshold(Double threshold) { this.threshold = threshold; return this; } /** * Gets the value of the width property. * * @return * possible object is * {@link Double } * */ public Double getWidth() { return width; } /** * Sets the value of the width property. * * @param width * allowed object is * {@link Double } * */ public NeuralLayer setWidth(Double width) { this.width = width; return this; } /** * Gets the value of the altitude property. * * @return * possible object is * {@link Double } * */ public Double getAltitude() { return altitude; } /** * Sets the value of the altitude property. * * @param altitude * allowed object is * {@link Double } * */ public NeuralLayer setAltitude(Double altitude) { this.altitude = altitude; return this; } /** * Gets the value of the normalizationMethod property. * * @return * possible object is * {@link NnNormalizationMethodType } * */ public NnNormalizationMethodType getNormalizationMethod() { return normalizationMethod; } /** * Sets the value of the normalizationMethod property. * * @param normalizationMethod * allowed object is * {@link NnNormalizationMethodType } * */ public NeuralLayer setNormalizationMethod(NnNormalizationMethodType normalizationMethod) { this.normalizationMethod = normalizationMethod; return this; } /** * Gets the value of the extensions 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 extensions property. * *

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

     *    getExtensions().add(newItem);
     * 
* * *

* Objects of the following type(s) are allowed in the list * {@link Extension } * * */ public List getExtensions() { if (extensions == null) { extensions = new ArrayList(); } return this.extensions; } /** * Gets the value of the neurons 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 neurons property. * *

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

     *    getNeurons().add(newItem);
     * 
* * *

* Objects of the following type(s) are allowed in the list * {@link Neuron } * * */ public List getNeurons() { if (neurons == null) { neurons = new ArrayList(); } return this.neurons; } public boolean hasExtensions() { return ((this.extensions!= null)&&(this.extensions.size()> 0)); } public NeuralLayer addExtensions(Extension... extensions) { getExtensions().addAll(Arrays.asList(extensions)); return this; } public boolean hasNeurons() { return ((this.neurons!= null)&&(this.neurons.size()> 0)); } public NeuralLayer addNeurons(Neuron... neurons) { getNeurons().addAll(Arrays.asList(neurons)); return this; } @Override public VisitorAction accept(Visitor visitor) { VisitorAction status = visitor.visit(this); visitor.pushParent(this); if ((status == VisitorAction.CONTINUE)&&hasExtensions()) { status = org.dmg.pmml.PMMLObject.traverse(visitor, getExtensions()); } if ((status == VisitorAction.CONTINUE)&&hasNeurons()) { status = org.dmg.pmml.PMMLObject.traverse(visitor, getNeurons()); } visitor.popParent(); if (status == VisitorAction.TERMINATE) { return VisitorAction.TERMINATE; } return VisitorAction.CONTINUE; } }





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