All Downloads are FREE. Search and download functionalities are using the official Maven repository.
Please wait. This can take some minutes ...
Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $
You can buy this project and download/modify it how often you want.
weka.core.pmml.jaxbbindings.NeuralNetwork Maven / Gradle / Ivy
Go to download
The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This version represents the developer version, the
"bleeding edge" of development, you could say. New functionality gets added
to this version.
//
// This file was generated by the JavaTM Architecture for XML Binding(JAXB) Reference Implementation, v2.0-b52-fcs
// See http://java.sun.com/xml/jaxb
// Any modifications to this file will be lost upon recompilation of the source schema.
// Generated on: 2013.12.20 at 12:48:21 PM GMT
//
package weka.core.pmml.jaxbbindings;
import java.math.BigInteger;
import java.util.ArrayList;
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.XmlElementRef;
import javax.xml.bind.annotation.XmlElementRefs;
import javax.xml.bind.annotation.XmlRootElement;
import javax.xml.bind.annotation.XmlType;
/**
* Java class for NeuralNetwork element declaration.
*
*
The following schema fragment specifies the expected content contained within this class.
*
*
* <element name="NeuralNetwork">
* <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="activationFunction" use="required" type="{http://www.dmg.org/PMML-4_1}ACTIVATION-FUNCTION" />
* <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" />
* <attribute name="altitude" type="{http://www.dmg.org/PMML-4_1}REAL-NUMBER" default="1.0" />
* <attribute name="functionName" use="required" type="{http://www.dmg.org/PMML-4_1}MINING-FUNCTION" />
* <attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" />
* <attribute name="modelName" type="{http://www.w3.org/2001/XMLSchema}string" />
* <attribute name="normalizationMethod" type="{http://www.dmg.org/PMML-4_1}NN-NORMALIZATION-METHOD" default="none" />
* <attribute name="numberOfLayers" type="{http://www.w3.org/2001/XMLSchema}nonNegativeInteger" />
* <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" />
* </restriction>
* </complexContent>
* </complexType>
* </element>
*
*
*
*/
@XmlAccessorType(XmlAccessType.FIELD)
@XmlType(name = "", propOrder = {
"content"
})
@XmlRootElement(name = "NeuralNetwork")
public class NeuralNetwork {
@XmlElementRefs({
@XmlElementRef(name = "ModelExplanation", namespace = "http://www.dmg.org/PMML-4_1", type = ModelExplanation.class),
@XmlElementRef(name = "ModelStats", namespace = "http://www.dmg.org/PMML-4_1", type = ModelStats.class),
@XmlElementRef(name = "Output", namespace = "http://www.dmg.org/PMML-4_1", type = Output.class),
@XmlElementRef(name = "LocalTransformations", namespace = "http://www.dmg.org/PMML-4_1", type = LocalTransformations.class),
@XmlElementRef(name = "NeuralLayer", namespace = "http://www.dmg.org/PMML-4_1", type = NeuralLayer.class),
@XmlElementRef(name = "Targets", namespace = "http://www.dmg.org/PMML-4_1", type = Targets.class),
@XmlElementRef(name = "NeuralOutputs", namespace = "http://www.dmg.org/PMML-4_1", type = NeuralOutputs.class),
@XmlElementRef(name = "MiningSchema", namespace = "http://www.dmg.org/PMML-4_1", type = MiningSchema.class),
@XmlElementRef(name = "NeuralInputs", namespace = "http://www.dmg.org/PMML-4_1", type = NeuralInputs.class),
@XmlElementRef(name = "ModelVerification", namespace = "http://www.dmg.org/PMML-4_1", type = ModelVerification.class),
@XmlElementRef(name = "Extension", namespace = "http://www.dmg.org/PMML-4_1", type = Extension.class)
})
protected List content;
@XmlAttribute(required = true)
protected ACTIVATIONFUNCTION activationFunction;
@XmlAttribute
protected String algorithmName;
@XmlAttribute
protected Double altitude;
@XmlAttribute(required = true)
protected MININGFUNCTION functionName;
@XmlAttribute
protected Boolean isScorable;
@XmlAttribute
protected String modelName;
@XmlAttribute
protected NNNORMALIZATIONMETHOD normalizationMethod;
@XmlAttribute
protected BigInteger numberOfLayers;
@XmlAttribute
protected Double threshold;
@XmlAttribute
protected Double width;
/**
* Gets the rest of the content model.
*
*
* You are getting this "catch-all" property because of the following reason:
* The field name "Extension" is used by two different parts of a schema. See:
* line 3183 of file:/home/david/workspace/weka/pmml-4-1.xsd
* line 3172 of file:/home/david/workspace/weka/pmml-4-1.xsd
*
* To get rid of this property, apply a property customization to one
* of both of the following declarations to change their names:
* Gets the value of the content 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 content property.
*
*
* For example, to add a new item, do as follows:
*
* getContent().add(newItem);
*
*
*
*
* Objects of the following type(s) are allowed in the list
* {@link ModelExplanation }
* {@link ModelStats }
* {@link Output }
* {@link NeuralLayer }
* {@link LocalTransformations }
* {@link Targets }
* {@link NeuralOutputs }
* {@link MiningSchema }
* {@link ModelVerification }
* {@link NeuralInputs }
* {@link Extension }
*
*
*/
public List getContent() {
if (content == null) {
content = new ArrayList();
}
return this.content;
}
/**
* Gets the value of the activationFunction property.
*
* @return
* possible object is
* {@link ACTIVATIONFUNCTION }
*
*/
public ACTIVATIONFUNCTION getActivationFunction() {
return activationFunction;
}
/**
* Sets the value of the activationFunction property.
*
* @param value
* allowed object is
* {@link ACTIVATIONFUNCTION }
*
*/
public void setActivationFunction(ACTIVATIONFUNCTION value) {
this.activationFunction = value;
}
/**
* Gets the value of the algorithmName property.
*
* @return
* possible object is
* {@link String }
*
*/
public String getAlgorithmName() {
return algorithmName;
}
/**
* Sets the value of the algorithmName property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setAlgorithmName(String value) {
this.algorithmName = value;
}
/**
* Gets the value of the altitude property.
*
* @return
* possible object is
* {@link Double }
*
*/
public double getAltitude() {
if (altitude == null) {
return 1.0D;
} else {
return altitude;
}
}
/**
* Sets the value of the altitude property.
*
* @param value
* allowed object is
* {@link Double }
*
*/
public void setAltitude(Double value) {
this.altitude = value;
}
/**
* Gets the value of the functionName property.
*
* @return
* possible object is
* {@link MININGFUNCTION }
*
*/
public MININGFUNCTION getFunctionName() {
return functionName;
}
/**
* Sets the value of the functionName property.
*
* @param value
* allowed object is
* {@link MININGFUNCTION }
*
*/
public void setFunctionName(MININGFUNCTION value) {
this.functionName = value;
}
/**
* Gets the value of the isScorable property.
*
* @return
* possible object is
* {@link Boolean }
*
*/
public boolean isIsScorable() {
if (isScorable == null) {
return true;
} else {
return isScorable;
}
}
/**
* Sets the value of the isScorable property.
*
* @param value
* allowed object is
* {@link Boolean }
*
*/
public void setIsScorable(Boolean value) {
this.isScorable = value;
}
/**
* Gets the value of the modelName property.
*
* @return
* possible object is
* {@link String }
*
*/
public String getModelName() {
return modelName;
}
/**
* Sets the value of the modelName property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setModelName(String value) {
this.modelName = value;
}
/**
* Gets the value of the normalizationMethod property.
*
* @return
* possible object is
* {@link NNNORMALIZATIONMETHOD }
*
*/
public NNNORMALIZATIONMETHOD getNormalizationMethod() {
if (normalizationMethod == null) {
return NNNORMALIZATIONMETHOD.NONE;
} else {
return normalizationMethod;
}
}
/**
* Sets the value of the normalizationMethod property.
*
* @param value
* allowed object is
* {@link NNNORMALIZATIONMETHOD }
*
*/
public void setNormalizationMethod(NNNORMALIZATIONMETHOD value) {
this.normalizationMethod = value;
}
/**
* Gets the value of the numberOfLayers property.
*
* @return
* possible object is
* {@link BigInteger }
*
*/
public BigInteger getNumberOfLayers() {
return numberOfLayers;
}
/**
* Sets the value of the numberOfLayers property.
*
* @param value
* allowed object is
* {@link BigInteger }
*
*/
public void setNumberOfLayers(BigInteger value) {
this.numberOfLayers = value;
}
/**
* Gets the value of the threshold property.
*
* @return
* possible object is
* {@link Double }
*
*/
public double getThreshold() {
if (threshold == null) {
return 0.0D;
} else {
return threshold;
}
}
/**
* Sets the value of the threshold property.
*
* @param value
* allowed object is
* {@link Double }
*
*/
public void setThreshold(Double value) {
this.threshold = value;
}
/**
* 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 value
* allowed object is
* {@link Double }
*
*/
public void setWidth(Double value) {
this.width = value;
}
}