org.dmg.pmml.RegressionModel Maven / Gradle / Ivy
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.XmlEnum;
import javax.xml.bind.annotation.XmlEnumValue;
import javax.xml.bind.annotation.XmlRootElement;
import javax.xml.bind.annotation.XmlType;
import javax.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import org.dmg.pmml.adapters.FieldNameAdapter;
import org.jpmml.schema.Added;
import org.jpmml.schema.Deprecated;
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_2}Extension" maxOccurs="unbounded" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}MiningSchema"/>
* <element ref="{http://www.dmg.org/PMML-4_2}Output" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}ModelStats" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}ModelExplanation" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}Targets" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}LocalTransformations" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}RegressionTable" maxOccurs="unbounded"/>
* <element ref="{http://www.dmg.org/PMML-4_2}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_2}MINING-FUNCTION" />
* <attribute name="algorithmName" type="{http://www.w3.org/2001/XMLSchema}string" />
* <attribute name="modelType">
* <simpleType>
* <restriction base="{http://www.w3.org/2001/XMLSchema}string">
* <enumeration value="linearRegression"/>
* <enumeration value="stepwisePolynomialRegression"/>
* <enumeration value="logisticRegression"/>
* </restriction>
* </simpleType>
* </attribute>
* <attribute name="targetFieldName" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="normalizationMethod" type="{http://www.dmg.org/PMML-4_2}REGRESSIONNORMALIZATIONMETHOD" default="none" />
* <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",
"regressionTables",
"modelVerification"
})
@XmlRootElement(name = "RegressionModel", namespace = "http://www.dmg.org/PMML-4_2")
public class RegressionModel
extends Model
implements HasExtensions
{
@XmlAttribute(name = "modelName")
private String modelName;
@XmlAttribute(name = "functionName", required = true)
private MiningFunctionType functionName;
@XmlAttribute(name = "algorithmName")
private String algorithmName;
@XmlAttribute(name = "modelType")
@Deprecated(Version.PMML_3_0)
private RegressionModel.ModelType modelType;
@XmlAttribute(name = "targetFieldName")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Deprecated(Version.PMML_3_0)
private FieldName targetFieldName;
@XmlAttribute(name = "normalizationMethod")
private RegressionNormalizationMethodType normalizationMethod;
@XmlAttribute(name = "isScorable")
@Added(Version.PMML_4_1)
private Boolean scorable;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_2")
private List extensions;
@XmlElement(name = "MiningSchema", namespace = "http://www.dmg.org/PMML-4_2", required = true)
private MiningSchema miningSchema;
@XmlElement(name = "Output", namespace = "http://www.dmg.org/PMML-4_2")
private Output output;
@XmlElement(name = "ModelStats", namespace = "http://www.dmg.org/PMML-4_2")
private ModelStats modelStats;
@XmlElement(name = "ModelExplanation", namespace = "http://www.dmg.org/PMML-4_2")
@Added(Version.PMML_4_0)
private ModelExplanation modelExplanation;
@XmlElement(name = "Targets", namespace = "http://www.dmg.org/PMML-4_2")
private Targets targets;
@XmlElement(name = "LocalTransformations", namespace = "http://www.dmg.org/PMML-4_2")
private LocalTransformations localTransformations;
@XmlElement(name = "RegressionTable", namespace = "http://www.dmg.org/PMML-4_2", required = true)
private List regressionTables;
@XmlElement(name = "ModelVerification", namespace = "http://www.dmg.org/PMML-4_2")
private ModelVerification modelVerification;
private final static Boolean DEFAULT_SCORABLE = true;
public RegressionModel() {
super();
}
public RegressionModel(final MiningFunctionType functionName, final MiningSchema miningSchema, final List regressionTables) {
super();
this.functionName = functionName;
this.miningSchema = miningSchema;
this.regressionTables = regressionTables;
}
/**
* 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 RegressionModel setModelName(String modelName) {
this.modelName = modelName;
return this;
}
/**
* Gets the value of the functionName property.
*
* @return
* possible object is
* {@link MiningFunctionType }
*
*/
public MiningFunctionType getFunctionName() {
return functionName;
}
/**
* Sets the value of the functionName property.
*
* @param functionName
* allowed object is
* {@link MiningFunctionType }
*
*/
public RegressionModel setFunctionName(MiningFunctionType functionName) {
this.functionName = functionName;
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 RegressionModel setAlgorithmName(String algorithmName) {
this.algorithmName = algorithmName;
return this;
}
/**
* Gets the value of the modelType property.
*
* @return
* possible object is
* {@link RegressionModel.ModelType }
*
*/
public RegressionModel.ModelType getModelType() {
return modelType;
}
/**
* Sets the value of the modelType property.
*
* @param modelType
* allowed object is
* {@link RegressionModel.ModelType }
*
*/
public RegressionModel setModelType(RegressionModel.ModelType modelType) {
this.modelType = modelType;
return this;
}
/**
* Gets the value of the targetFieldName property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getTargetFieldName() {
return targetFieldName;
}
/**
* Sets the value of the targetFieldName property.
*
* @param targetFieldName
* allowed object is
* {@link String }
*
*/
public RegressionModel setTargetFieldName(FieldName targetFieldName) {
this.targetFieldName = targetFieldName;
return this;
}
/**
* Gets the value of the normalizationMethod property.
*
* @return
* possible object is
* {@link RegressionNormalizationMethodType }
*
*/
public RegressionNormalizationMethodType getNormalizationMethod() {
if (normalizationMethod == null) {
return RegressionNormalizationMethodType.NONE;
} else {
return normalizationMethod;
}
}
/**
* Sets the value of the normalizationMethod property.
*
* @param normalizationMethod
* allowed object is
* {@link RegressionNormalizationMethodType }
*
*/
public RegressionModel setNormalizationMethod(RegressionNormalizationMethodType normalizationMethod) {
this.normalizationMethod = normalizationMethod;
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 RegressionModel 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 RegressionModel 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 RegressionModel 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 RegressionModel 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 RegressionModel 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 RegressionModel 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 RegressionModel setLocalTransformations(LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
/**
* Gets the value of the regressionTables 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 regressionTables property.
*
*
* For example, to add a new item, do as follows:
*
* getRegressionTables().add(newItem);
*
*
*
*
* Objects of the following type(s) are allowed in the list
* {@link RegressionTable }
*
*
*/
public List getRegressionTables() {
if (regressionTables == null) {
regressionTables = new ArrayList();
}
return this.regressionTables;
}
/**
* 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 RegressionModel setModelVerification(ModelVerification modelVerification) {
this.modelVerification = modelVerification;
return this;
}
public boolean hasExtensions() {
return ((this.extensions!= null)&&(this.extensions.size()> 0));
}
public RegressionModel addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
public boolean hasRegressionTables() {
return ((this.regressionTables!= null)&&(this.regressionTables.size()> 0));
}
public RegressionModel addRegressionTables(RegressionTable... regressionTables) {
getRegressionTables().addAll(Arrays.asList(regressionTables));
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());
}
if ((status == VisitorAction.CONTINUE)&&hasRegressionTables()) {
status = PMMLObject.traverse(visitor, getRegressionTables());
}
if (status == VisitorAction.CONTINUE) {
status = PMMLObject.traverse(visitor, getModelVerification());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
/**
* Java class for null.
*
*
The following schema fragment specifies the expected content contained within this class.
*
*
* <simpleType>
* <restriction base="{http://www.w3.org/2001/XMLSchema}string">
* <enumeration value="linearRegression"/>
* <enumeration value="stepwisePolynomialRegression"/>
* <enumeration value="logisticRegression"/>
* </restriction>
* </simpleType>
*
*
*/
@XmlType(name = "")
@XmlEnum
public enum ModelType {
@XmlEnumValue("linearRegression")
LINEAR_REGRESSION("linearRegression"),
@XmlEnumValue("stepwisePolynomialRegression")
STEPWISE_POLYNOMIAL_REGRESSION("stepwisePolynomialRegression"),
@XmlEnumValue("logisticRegression")
LOGISTIC_REGRESSION("logisticRegression");
private final String value;
ModelType(String v) {
value = v;
}
public String value() {
return value;
}
public static RegressionModel.ModelType fromValue(String v) {
for (RegressionModel.ModelType c: RegressionModel.ModelType.values()) {
if (c.value.equals(v)) {
return c;
}
}
throw new IllegalArgumentException(v);
}
}
}