org.dmg.pmml.naive_bayes.NaiveBayesModel Maven / Gradle / Ivy
package org.dmg.pmml.naive_bayes;
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.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"/>
* <element ref="{http://www.dmg.org/PMML-4_3}BayesInputs"/>
* <element ref="{http://www.dmg.org/PMML-4_3}BayesOutput"/>
* <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="threshold" use="required" type="{http://www.dmg.org/PMML-4_3}REAL-NUMBER" />
* <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="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",
"bayesInputs",
"bayesOutput",
"modelVerification"
})
@XmlRootElement(name = "NaiveBayesModel", namespace = "http://www.dmg.org/PMML-4_3")
public class NaiveBayesModel
extends Model
implements HasExtensions
{
@XmlAttribute(name = "modelName")
private String modelName;
@XmlAttribute(name = "threshold", required = true)
private double threshold;
@XmlAttribute(name = "functionName", required = true)
private MiningFunction miningFunction;
@XmlAttribute(name = "algorithmName")
private String algorithmName;
@XmlAttribute(name = "isScorable")
@Added(Version.PMML_4_1)
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")
@Added(Version.PMML_4_0)
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 = "BayesInputs", namespace = "http://www.dmg.org/PMML-4_3", required = true)
private BayesInputs bayesInputs;
@XmlElement(name = "BayesOutput", namespace = "http://www.dmg.org/PMML-4_3", required = true)
private BayesOutput bayesOutput;
@XmlElement(name = "ModelVerification", namespace = "http://www.dmg.org/PMML-4_3")
private ModelVerification modelVerification;
private final static Boolean DEFAULT_SCORABLE = true;
public NaiveBayesModel() {
super();
}
public NaiveBayesModel(final double threshold, final MiningFunction miningFunction, final MiningSchema miningSchema, final BayesInputs bayesInputs, final BayesOutput bayesOutput) {
super();
this.threshold = threshold;
this.miningFunction = miningFunction;
this.miningSchema = miningSchema;
this.bayesInputs = bayesInputs;
this.bayesOutput = bayesOutput;
}
/**
* 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 NaiveBayesModel setModelName(String modelName) {
this.modelName = modelName;
return this;
}
/**
* Gets the value of the threshold property.
*
*/
public double getThreshold() {
return threshold;
}
/**
* Sets the value of the threshold property.
*
*/
public NaiveBayesModel setThreshold(double threshold) {
this.threshold = threshold;
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 NaiveBayesModel 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 NaiveBayesModel setAlgorithmName(String algorithmName) {
this.algorithmName = algorithmName;
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 NaiveBayesModel 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 NaiveBayesModel 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 NaiveBayesModel 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 NaiveBayesModel 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 NaiveBayesModel 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 NaiveBayesModel 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 NaiveBayesModel setLocalTransformations(LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
/**
* Gets the value of the bayesInputs property.
*
* @return
* possible object is
* {@link BayesInputs }
*
*/
public BayesInputs getBayesInputs() {
return bayesInputs;
}
/**
* Sets the value of the bayesInputs property.
*
* @param bayesInputs
* allowed object is
* {@link BayesInputs }
*
*/
public NaiveBayesModel setBayesInputs(BayesInputs bayesInputs) {
this.bayesInputs = bayesInputs;
return this;
}
/**
* Gets the value of the bayesOutput property.
*
* @return
* possible object is
* {@link BayesOutput }
*
*/
public BayesOutput getBayesOutput() {
return bayesOutput;
}
/**
* Sets the value of the bayesOutput property.
*
* @param bayesOutput
* allowed object is
* {@link BayesOutput }
*
*/
public NaiveBayesModel setBayesOutput(BayesOutput bayesOutput) {
this.bayesOutput = bayesOutput;
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 NaiveBayesModel setModelVerification(ModelVerification modelVerification) {
this.modelVerification = modelVerification;
return this;
}
public boolean hasExtensions() {
return ((this.extensions!= null)&&(this.extensions.size()> 0));
}
public NaiveBayesModel 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(), getBayesInputs(), getBayesOutput(), getModelVerification());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
}