org.dmg.pmml.gaussian_process.GaussianProcessModel Maven / Gradle / Ivy
package org.dmg.pmml.gaussian_process;
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 org.dmg.pmml.Extension;
import org.dmg.pmml.HasExtensions;
import org.dmg.pmml.LocalTransformations;
import org.dmg.pmml.MiningFunction;
import org.dmg.pmml.MiningSchema;
import org.dmg.pmml.Model;
import org.dmg.pmml.ModelExplanation;
import org.dmg.pmml.ModelStats;
import org.dmg.pmml.ModelVerification;
import org.dmg.pmml.Output;
import org.dmg.pmml.PMMLObject;
import org.dmg.pmml.Targets;
import org.dmg.pmml.Visitor;
import org.dmg.pmml.VisitorAction;
import org.dmg.pmml.nearest_neighbor.TrainingInstances;
import org.jpmml.schema.Added;
import org.jpmml.schema.Version;
/**
* 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_3}Extension" maxOccurs="unbounded" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}MiningSchema"/>
* <element ref="{http://www.dmg.org/PMML-4_3}Output" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}ModelStats" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}ModelExplanation" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}Targets" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}LocalTransformations" minOccurs="0"/>
* <sequence>
* <choice>
* <element ref="{http://www.dmg.org/PMML-4_3}RadialBasisKernel"/>
* <element ref="{http://www.dmg.org/PMML-4_3}ARDSquaredExponentialKernel"/>
* <element ref="{http://www.dmg.org/PMML-4_3}AbsoluteExponentialKernel"/>
* <element ref="{http://www.dmg.org/PMML-4_3}GeneralizedExponentialKernel"/>
* </choice>
* </sequence>
* <element ref="{http://www.dmg.org/PMML-4_3}TrainingInstances"/>
* <element ref="{http://www.dmg.org/PMML-4_3}ModelVerification" 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_3}MINING-FUNCTION" />
* <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" />
* <attribute name="optimizer" type="{http://www.w3.org/2001/XMLSchema}string" />
* <attribute name="isScorable" type="{http://www.w3.org/2001/XMLSchema}boolean" default="true" />
* </restriction>
* </complexContent>
* </complexType>
*
*
*
*/
@XmlAccessorType(XmlAccessType.FIELD)
@XmlType(name = "", propOrder = {
"extensions",
"miningSchema",
"output",
"modelStats",
"modelExplanation",
"targets",
"localTransformations",
"radialBasisKernel",
"ardSquaredExponentialKernel",
"absoluteExponentialKernel",
"generalizedExponentialKernel",
"trainingInstances",
"modelVerification"
})
@XmlRootElement(name = "GaussianProcessModel", namespace = "http://www.dmg.org/PMML-4_3")
@Added(Version.PMML_4_3)
public class GaussianProcessModel
extends Model
implements HasExtensions
{
@XmlAttribute(name = "modelName")
private String modelName;
@XmlAttribute(name = "functionName", required = true)
private MiningFunction miningFunction;
@XmlAttribute(name = "algorithmName")
private String algorithmName;
@XmlAttribute(name = "optimizer")
private String optimizer;
@XmlAttribute(name = "isScorable")
private Boolean scorable;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_3")
private List extensions;
@XmlElement(name = "MiningSchema", namespace = "http://www.dmg.org/PMML-4_3", required = true)
private MiningSchema miningSchema;
@XmlElement(name = "Output", namespace = "http://www.dmg.org/PMML-4_3")
private Output output;
@XmlElement(name = "ModelStats", namespace = "http://www.dmg.org/PMML-4_3")
private ModelStats modelStats;
@XmlElement(name = "ModelExplanation", namespace = "http://www.dmg.org/PMML-4_3")
private ModelExplanation modelExplanation;
@XmlElement(name = "Targets", namespace = "http://www.dmg.org/PMML-4_3")
private Targets targets;
@XmlElement(name = "LocalTransformations", namespace = "http://www.dmg.org/PMML-4_3")
private LocalTransformations localTransformations;
@XmlElement(name = "RadialBasisKernel", namespace = "http://www.dmg.org/PMML-4_3")
private RadialBasisKernel radialBasisKernel;
@XmlElement(name = "ARDSquaredExponentialKernel", namespace = "http://www.dmg.org/PMML-4_3")
private ARDSquaredExponentialKernel ardSquaredExponentialKernel;
@XmlElement(name = "AbsoluteExponentialKernel", namespace = "http://www.dmg.org/PMML-4_3")
private AbsoluteExponentialKernel absoluteExponentialKernel;
@XmlElement(name = "GeneralizedExponentialKernel", namespace = "http://www.dmg.org/PMML-4_3")
private GeneralizedExponentialKernel generalizedExponentialKernel;
@XmlElement(name = "TrainingInstances", namespace = "http://www.dmg.org/PMML-4_3", required = true)
private TrainingInstances trainingInstances;
@XmlElement(name = "ModelVerification", namespace = "http://www.dmg.org/PMML-4_3")
private ModelVerification modelVerification;
private final static Boolean DEFAULT_SCORABLE = true;
public GaussianProcessModel() {
super();
}
public GaussianProcessModel(final MiningFunction miningFunction, final MiningSchema miningSchema, final TrainingInstances trainingInstances) {
super();
this.miningFunction = miningFunction;
this.miningSchema = miningSchema;
this.trainingInstances = trainingInstances;
}
/**
* 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 modelName
* allowed object is
* {@link String }
*
*/
public GaussianProcessModel setModelName(String modelName) {
this.modelName = modelName;
return this;
}
/**
* Gets the value of the miningFunction property.
*
* @return
* possible object is
* {@link MiningFunction }
*
*/
public MiningFunction getMiningFunction() {
return miningFunction;
}
/**
* Sets the value of the miningFunction property.
*
* @param miningFunction
* allowed object is
* {@link MiningFunction }
*
*/
public GaussianProcessModel setMiningFunction(MiningFunction miningFunction) {
this.miningFunction = miningFunction;
return this;
}
/**
* 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 algorithmName
* allowed object is
* {@link String }
*
*/
public GaussianProcessModel setAlgorithmName(String algorithmName) {
this.algorithmName = algorithmName;
return this;
}
/**
* Gets the value of the optimizer property.
*
* @return
* possible object is
* {@link String }
*
*/
public String getOptimizer() {
return optimizer;
}
/**
* Sets the value of the optimizer property.
*
* @param optimizer
* allowed object is
* {@link String }
*
*/
public GaussianProcessModel setOptimizer(String optimizer) {
this.optimizer = optimizer;
return this;
}
/**
* Gets the value of the scorable property.
*
* @return
* possible object is
* {@link Boolean }
*
*/
public boolean isScorable() {
if (scorable == null) {
return DEFAULT_SCORABLE;
} else {
return scorable;
}
}
/**
* Sets the value of the scorable property.
*
* @param scorable
* allowed object is
* {@link Boolean }
*
*/
public GaussianProcessModel setScorable(Boolean scorable) {
this.scorable = scorable;
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 miningSchema property.
*
* @return
* possible object is
* {@link MiningSchema }
*
*/
public MiningSchema getMiningSchema() {
return miningSchema;
}
/**
* Sets the value of the miningSchema property.
*
* @param miningSchema
* allowed object is
* {@link MiningSchema }
*
*/
public GaussianProcessModel setMiningSchema(MiningSchema miningSchema) {
this.miningSchema = miningSchema;
return this;
}
/**
* Gets the value of the output property.
*
* @return
* possible object is
* {@link Output }
*
*/
public Output getOutput() {
return output;
}
/**
* Sets the value of the output property.
*
* @param output
* allowed object is
* {@link Output }
*
*/
public GaussianProcessModel setOutput(Output output) {
this.output = output;
return this;
}
/**
* Gets the value of the modelStats property.
*
* @return
* possible object is
* {@link ModelStats }
*
*/
public ModelStats getModelStats() {
return modelStats;
}
/**
* Sets the value of the modelStats property.
*
* @param modelStats
* allowed object is
* {@link ModelStats }
*
*/
public GaussianProcessModel setModelStats(ModelStats modelStats) {
this.modelStats = modelStats;
return this;
}
/**
* Gets the value of the modelExplanation property.
*
* @return
* possible object is
* {@link ModelExplanation }
*
*/
public ModelExplanation getModelExplanation() {
return modelExplanation;
}
/**
* Sets the value of the modelExplanation property.
*
* @param modelExplanation
* allowed object is
* {@link ModelExplanation }
*
*/
public GaussianProcessModel setModelExplanation(ModelExplanation modelExplanation) {
this.modelExplanation = modelExplanation;
return this;
}
/**
* Gets the value of the targets property.
*
* @return
* possible object is
* {@link Targets }
*
*/
public Targets getTargets() {
return targets;
}
/**
* Sets the value of the targets property.
*
* @param targets
* allowed object is
* {@link Targets }
*
*/
public GaussianProcessModel setTargets(Targets targets) {
this.targets = targets;
return this;
}
/**
* Gets the value of the localTransformations property.
*
* @return
* possible object is
* {@link LocalTransformations }
*
*/
public LocalTransformations getLocalTransformations() {
return localTransformations;
}
/**
* Sets the value of the localTransformations property.
*
* @param localTransformations
* allowed object is
* {@link LocalTransformations }
*
*/
public GaussianProcessModel setLocalTransformations(LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
/**
* Gets the value of the radialBasisKernel property.
*
* @return
* possible object is
* {@link RadialBasisKernel }
*
*/
public RadialBasisKernel getRadialBasisKernel() {
return radialBasisKernel;
}
/**
* Sets the value of the radialBasisKernel property.
*
* @param radialBasisKernel
* allowed object is
* {@link RadialBasisKernel }
*
*/
public GaussianProcessModel setRadialBasisKernel(RadialBasisKernel radialBasisKernel) {
this.radialBasisKernel = radialBasisKernel;
return this;
}
/**
* Gets the value of the ardSquaredExponentialKernel property.
*
* @return
* possible object is
* {@link ARDSquaredExponentialKernel }
*
*/
public ARDSquaredExponentialKernel getARDSquaredExponentialKernel() {
return ardSquaredExponentialKernel;
}
/**
* Sets the value of the ardSquaredExponentialKernel property.
*
* @param ardSquaredExponentialKernel
* allowed object is
* {@link ARDSquaredExponentialKernel }
*
*/
public GaussianProcessModel setARDSquaredExponentialKernel(ARDSquaredExponentialKernel ardSquaredExponentialKernel) {
this.ardSquaredExponentialKernel = ardSquaredExponentialKernel;
return this;
}
/**
* Gets the value of the absoluteExponentialKernel property.
*
* @return
* possible object is
* {@link AbsoluteExponentialKernel }
*
*/
public AbsoluteExponentialKernel getAbsoluteExponentialKernel() {
return absoluteExponentialKernel;
}
/**
* Sets the value of the absoluteExponentialKernel property.
*
* @param absoluteExponentialKernel
* allowed object is
* {@link AbsoluteExponentialKernel }
*
*/
public GaussianProcessModel setAbsoluteExponentialKernel(AbsoluteExponentialKernel absoluteExponentialKernel) {
this.absoluteExponentialKernel = absoluteExponentialKernel;
return this;
}
/**
* Gets the value of the generalizedExponentialKernel property.
*
* @return
* possible object is
* {@link GeneralizedExponentialKernel }
*
*/
public GeneralizedExponentialKernel getGeneralizedExponentialKernel() {
return generalizedExponentialKernel;
}
/**
* Sets the value of the generalizedExponentialKernel property.
*
* @param generalizedExponentialKernel
* allowed object is
* {@link GeneralizedExponentialKernel }
*
*/
public GaussianProcessModel setGeneralizedExponentialKernel(GeneralizedExponentialKernel generalizedExponentialKernel) {
this.generalizedExponentialKernel = generalizedExponentialKernel;
return this;
}
/**
* Gets the value of the trainingInstances property.
*
* @return
* possible object is
* {@link TrainingInstances }
*
*/
public TrainingInstances getTrainingInstances() {
return trainingInstances;
}
/**
* Sets the value of the trainingInstances property.
*
* @param trainingInstances
* allowed object is
* {@link TrainingInstances }
*
*/
public GaussianProcessModel setTrainingInstances(TrainingInstances trainingInstances) {
this.trainingInstances = trainingInstances;
return this;
}
/**
* Gets the value of the modelVerification property.
*
* @return
* possible object is
* {@link ModelVerification }
*
*/
public ModelVerification getModelVerification() {
return modelVerification;
}
/**
* Sets the value of the modelVerification property.
*
* @param modelVerification
* allowed object is
* {@link ModelVerification }
*
*/
public GaussianProcessModel setModelVerification(ModelVerification modelVerification) {
this.modelVerification = modelVerification;
return this;
}
public boolean hasExtensions() {
return ((this.extensions!= null)&&(this.extensions.size()> 0));
}
public GaussianProcessModel addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
@Override
public VisitorAction accept(Visitor visitor) {
VisitorAction status = visitor.visit(this);
if (status == VisitorAction.CONTINUE) {
visitor.pushParent(this);
if ((status == VisitorAction.CONTINUE)&&hasExtensions()) {
status = PMMLObject.traverse(visitor, getExtensions());
}
if (status == VisitorAction.CONTINUE) {
status = PMMLObject.traverse(visitor, getMiningSchema(), getOutput(), getModelStats(), getModelExplanation(), getTargets(), getLocalTransformations(), getRadialBasisKernel(), getARDSquaredExponentialKernel(), getAbsoluteExponentialKernel(), getGeneralizedExponentialKernel(), getTrainingInstances(), getModelVerification());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
}