org.dmg.pmml.GeneralRegressionModel Maven / Gradle / Ivy
package org.dmg.pmml;
import java.util.ArrayList;
import java.util.Collection;
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.XmlTransient;
import javax.xml.bind.annotation.XmlType;
import javax.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import com.sun.xml.bind.Locatable;
import com.sun.xml.bind.annotation.XmlLocation;
import org.jpmml.schema.Added;
import org.jpmml.schema.Deprecated;
import org.jpmml.schema.Version;
import org.xml.sax.Locator;
/**
* 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}ParameterList"/>
* <element ref="{http://www.dmg.org/PMML-4_2}FactorList" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}CovariateList" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}PPMatrix"/>
* <element ref="{http://www.dmg.org/PMML-4_2}PCovMatrix" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}ParamMatrix"/>
* <element ref="{http://www.dmg.org/PMML-4_2}EventValues" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}BaseCumHazardTables" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_2}ModelVerification" minOccurs="0"/>
* </sequence>
* <attribute name="targetVariableName" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="modelType" use="required">
* <simpleType>
* <restriction base="{http://www.w3.org/2001/XMLSchema}string">
* <enumeration value="regression"/>
* <enumeration value="generalLinear"/>
* <enumeration value="multinomialLogistic"/>
* <enumeration value="ordinalMultinomial"/>
* <enumeration value="generalizedLinear"/>
* <enumeration value="CoxRegression"/>
* </restriction>
* </simpleType>
* </attribute>
* <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="targetReferenceCategory" type="{http://www.w3.org/2001/XMLSchema}string" />
* <attribute name="cumulativeLink" type="{http://www.dmg.org/PMML-4_2}CUMULATIVE-LINK-FUNCTION" />
* <attribute name="linkFunction" type="{http://www.dmg.org/PMML-4_2}LINK-FUNCTION" />
* <attribute name="linkParameter" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
* <attribute name="trialsVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="trialsValue" type="{http://www.dmg.org/PMML-4_2}INT-NUMBER" />
* <attribute name="distribution">
* <simpleType>
* <restriction base="{http://www.w3.org/2001/XMLSchema}string">
* <enumeration value="binomial"/>
* <enumeration value="gamma"/>
* <enumeration value="igauss"/>
* <enumeration value="negbin"/>
* <enumeration value="normal"/>
* <enumeration value="poisson"/>
* <enumeration value="tweedie"/>
* </restriction>
* </simpleType>
* </attribute>
* <attribute name="distParameter" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
* <attribute name="offsetVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="offsetValue" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
* <attribute name="modelDF" type="{http://www.dmg.org/PMML-4_2}REAL-NUMBER" />
* <attribute name="endTimeVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="startTimeVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="subjectIDVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="statusVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <attribute name="baselineStrataVariable" type="{http://www.dmg.org/PMML-4_2}FIELD-NAME" />
* <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",
"parameterList",
"factorList",
"covariateList",
"ppMatrix",
"pCovMatrix",
"paramMatrix",
"eventValues",
"baseCumHazardTables",
"modelVerification"
})
@XmlRootElement(name = "GeneralRegressionModel")
public class GeneralRegressionModel
extends Model
implements Locatable, HasExtensions
{
@XmlElement(name = "Extension")
protected List extensions;
@XmlElement(name = "MiningSchema", required = true)
protected MiningSchema miningSchema;
@XmlElement(name = "Output")
protected Output output;
@XmlElement(name = "ModelStats")
protected ModelStats modelStats;
@XmlElement(name = "ModelExplanation")
@Added(Version.PMML_4_0)
protected ModelExplanation modelExplanation;
@XmlElement(name = "Targets")
protected Targets targets;
@XmlElement(name = "LocalTransformations")
protected LocalTransformations localTransformations;
@XmlElement(name = "ParameterList", required = true)
protected ParameterList parameterList;
@XmlElement(name = "FactorList")
protected FactorList factorList;
@XmlElement(name = "CovariateList")
protected CovariateList covariateList;
@XmlElement(name = "PPMatrix", required = true)
protected PPMatrix ppMatrix;
@XmlElement(name = "PCovMatrix")
protected PCovMatrix pCovMatrix;
@XmlElement(name = "ParamMatrix", required = true)
protected ParamMatrix paramMatrix;
@XmlElement(name = "EventValues")
@Added(Version.PMML_4_0)
protected EventValues eventValues;
@XmlElement(name = "BaseCumHazardTables")
@Added(Version.PMML_4_0)
protected BaseCumHazardTables baseCumHazardTables;
@XmlElement(name = "ModelVerification")
protected ModelVerification modelVerification;
@XmlAttribute(name = "targetVariableName")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Deprecated(Version.PMML_3_0)
protected FieldName targetVariableName;
@XmlAttribute(name = "modelType", required = true)
protected GeneralRegressionModel.ModelType modelType;
@XmlAttribute(name = "modelName")
protected String modelName;
@XmlAttribute(name = "functionName", required = true)
protected MiningFunctionType functionName;
@XmlAttribute(name = "algorithmName")
protected String algorithmName;
@XmlAttribute(name = "targetReferenceCategory")
@Added(Version.PMML_4_0)
protected String targetReferenceCategory;
@XmlAttribute(name = "cumulativeLink")
@Added(Version.PMML_3_1)
protected CumulativeLinkFunctionType cumulativeLink;
@XmlAttribute(name = "linkFunction")
@Added(Version.PMML_3_2)
protected LinkFunctionType linkFunction;
@XmlAttribute(name = "linkParameter")
@Added(Version.PMML_3_2)
protected Double linkParameter;
@XmlAttribute(name = "trialsVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_3_2)
protected FieldName trialsVariable;
@XmlAttribute(name = "trialsValue")
@Added(Version.PMML_3_2)
protected Integer trialsValue;
@XmlAttribute(name = "distribution")
protected GeneralRegressionModel.Distribution distribution;
@XmlAttribute(name = "distParameter")
@Added(Version.PMML_3_2)
protected Double distParameter;
@XmlAttribute(name = "offsetVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_3_2)
protected FieldName offsetVariable;
@XmlAttribute(name = "offsetValue")
@Added(Version.PMML_3_2)
protected Double offsetValue;
@XmlAttribute(name = "modelDF")
@Added(Version.PMML_4_0)
protected Double modelDF;
@XmlAttribute(name = "endTimeVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
protected FieldName endTimeVariable;
@XmlAttribute(name = "startTimeVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
protected FieldName startTimeVariable;
@XmlAttribute(name = "subjectIDVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
protected FieldName subjectIDVariable;
@XmlAttribute(name = "statusVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
protected FieldName statusVariable;
@XmlAttribute(name = "baselineStrataVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
protected FieldName baselineStrataVariable;
@XmlAttribute(name = "isScorable")
@Added(Version.PMML_4_1)
protected Boolean scorable;
@XmlLocation
@XmlTransient
protected Locator locator;
public GeneralRegressionModel() {
super();
}
public GeneralRegressionModel(final MiningSchema miningSchema, final ParameterList parameterList, final PPMatrix ppMatrix, final ParamMatrix paramMatrix, final GeneralRegressionModel.ModelType modelType, final MiningFunctionType functionName) {
super();
this.miningSchema = miningSchema;
this.parameterList = parameterList;
this.ppMatrix = ppMatrix;
this.paramMatrix = paramMatrix;
this.modelType = modelType;
this.functionName = functionName;
}
/**
* 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 value
* allowed object is
* {@link MiningSchema }
*
*/
public void setMiningSchema(MiningSchema value) {
this.miningSchema = value;
}
/**
* 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 value
* allowed object is
* {@link Output }
*
*/
public void setOutput(Output value) {
this.output = value;
}
/**
* 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 value
* allowed object is
* {@link ModelStats }
*
*/
public void setModelStats(ModelStats value) {
this.modelStats = value;
}
/**
* 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 value
* allowed object is
* {@link ModelExplanation }
*
*/
public void setModelExplanation(ModelExplanation value) {
this.modelExplanation = value;
}
/**
* 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 value
* allowed object is
* {@link Targets }
*
*/
public void setTargets(Targets value) {
this.targets = value;
}
/**
* 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 value
* allowed object is
* {@link LocalTransformations }
*
*/
public void setLocalTransformations(LocalTransformations value) {
this.localTransformations = value;
}
/**
* Gets the value of the parameterList property.
*
* @return
* possible object is
* {@link ParameterList }
*
*/
public ParameterList getParameterList() {
return parameterList;
}
/**
* Sets the value of the parameterList property.
*
* @param value
* allowed object is
* {@link ParameterList }
*
*/
public void setParameterList(ParameterList value) {
this.parameterList = value;
}
/**
* Gets the value of the factorList property.
*
* @return
* possible object is
* {@link FactorList }
*
*/
public FactorList getFactorList() {
return factorList;
}
/**
* Sets the value of the factorList property.
*
* @param value
* allowed object is
* {@link FactorList }
*
*/
public void setFactorList(FactorList value) {
this.factorList = value;
}
/**
* Gets the value of the covariateList property.
*
* @return
* possible object is
* {@link CovariateList }
*
*/
public CovariateList getCovariateList() {
return covariateList;
}
/**
* Sets the value of the covariateList property.
*
* @param value
* allowed object is
* {@link CovariateList }
*
*/
public void setCovariateList(CovariateList value) {
this.covariateList = value;
}
/**
* Gets the value of the ppMatrix property.
*
* @return
* possible object is
* {@link PPMatrix }
*
*/
public PPMatrix getPPMatrix() {
return ppMatrix;
}
/**
* Sets the value of the ppMatrix property.
*
* @param value
* allowed object is
* {@link PPMatrix }
*
*/
public void setPPMatrix(PPMatrix value) {
this.ppMatrix = value;
}
/**
* Gets the value of the pCovMatrix property.
*
* @return
* possible object is
* {@link PCovMatrix }
*
*/
public PCovMatrix getPCovMatrix() {
return pCovMatrix;
}
/**
* Sets the value of the pCovMatrix property.
*
* @param value
* allowed object is
* {@link PCovMatrix }
*
*/
public void setPCovMatrix(PCovMatrix value) {
this.pCovMatrix = value;
}
/**
* Gets the value of the paramMatrix property.
*
* @return
* possible object is
* {@link ParamMatrix }
*
*/
public ParamMatrix getParamMatrix() {
return paramMatrix;
}
/**
* Sets the value of the paramMatrix property.
*
* @param value
* allowed object is
* {@link ParamMatrix }
*
*/
public void setParamMatrix(ParamMatrix value) {
this.paramMatrix = value;
}
/**
* Gets the value of the eventValues property.
*
* @return
* possible object is
* {@link EventValues }
*
*/
public EventValues getEventValues() {
return eventValues;
}
/**
* Sets the value of the eventValues property.
*
* @param value
* allowed object is
* {@link EventValues }
*
*/
public void setEventValues(EventValues value) {
this.eventValues = value;
}
/**
* Gets the value of the baseCumHazardTables property.
*
* @return
* possible object is
* {@link BaseCumHazardTables }
*
*/
public BaseCumHazardTables getBaseCumHazardTables() {
return baseCumHazardTables;
}
/**
* Sets the value of the baseCumHazardTables property.
*
* @param value
* allowed object is
* {@link BaseCumHazardTables }
*
*/
public void setBaseCumHazardTables(BaseCumHazardTables value) {
this.baseCumHazardTables = value;
}
/**
* 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 value
* allowed object is
* {@link ModelVerification }
*
*/
public void setModelVerification(ModelVerification value) {
this.modelVerification = value;
}
/**
* Gets the value of the targetVariableName property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getTargetVariableName() {
return targetVariableName;
}
/**
* Sets the value of the targetVariableName property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setTargetVariableName(FieldName value) {
this.targetVariableName = value;
}
/**
* Gets the value of the modelType property.
*
* @return
* possible object is
* {@link GeneralRegressionModel.ModelType }
*
*/
public GeneralRegressionModel.ModelType getModelType() {
return modelType;
}
/**
* Sets the value of the modelType property.
*
* @param value
* allowed object is
* {@link GeneralRegressionModel.ModelType }
*
*/
public void setModelType(GeneralRegressionModel.ModelType value) {
this.modelType = 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 functionName property.
*
* @return
* possible object is
* {@link MiningFunctionType }
*
*/
public MiningFunctionType getFunctionName() {
return functionName;
}
/**
* Sets the value of the functionName property.
*
* @param value
* allowed object is
* {@link MiningFunctionType }
*
*/
public void setFunctionName(MiningFunctionType value) {
this.functionName = 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 targetReferenceCategory property.
*
* @return
* possible object is
* {@link String }
*
*/
public String getTargetReferenceCategory() {
return targetReferenceCategory;
}
/**
* Sets the value of the targetReferenceCategory property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setTargetReferenceCategory(String value) {
this.targetReferenceCategory = value;
}
/**
* Gets the value of the cumulativeLink property.
*
* @return
* possible object is
* {@link CumulativeLinkFunctionType }
*
*/
public CumulativeLinkFunctionType getCumulativeLink() {
return cumulativeLink;
}
/**
* Sets the value of the cumulativeLink property.
*
* @param value
* allowed object is
* {@link CumulativeLinkFunctionType }
*
*/
public void setCumulativeLink(CumulativeLinkFunctionType value) {
this.cumulativeLink = value;
}
/**
* Gets the value of the linkFunction property.
*
* @return
* possible object is
* {@link LinkFunctionType }
*
*/
public LinkFunctionType getLinkFunction() {
return linkFunction;
}
/**
* Sets the value of the linkFunction property.
*
* @param value
* allowed object is
* {@link LinkFunctionType }
*
*/
public void setLinkFunction(LinkFunctionType value) {
this.linkFunction = value;
}
/**
* Gets the value of the linkParameter property.
*
* @return
* possible object is
* {@link Double }
*
*/
public Double getLinkParameter() {
return linkParameter;
}
/**
* Sets the value of the linkParameter property.
*
* @param value
* allowed object is
* {@link Double }
*
*/
public void setLinkParameter(Double value) {
this.linkParameter = value;
}
/**
* Gets the value of the trialsVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getTrialsVariable() {
return trialsVariable;
}
/**
* Sets the value of the trialsVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setTrialsVariable(FieldName value) {
this.trialsVariable = value;
}
/**
* Gets the value of the trialsValue property.
*
* @return
* possible object is
* {@link Integer }
*
*/
public Integer getTrialsValue() {
return trialsValue;
}
/**
* Sets the value of the trialsValue property.
*
* @param value
* allowed object is
* {@link Integer }
*
*/
public void setTrialsValue(Integer value) {
this.trialsValue = value;
}
/**
* Gets the value of the distribution property.
*
* @return
* possible object is
* {@link GeneralRegressionModel.Distribution }
*
*/
public GeneralRegressionModel.Distribution getDistribution() {
return distribution;
}
/**
* Sets the value of the distribution property.
*
* @param value
* allowed object is
* {@link GeneralRegressionModel.Distribution }
*
*/
public void setDistribution(GeneralRegressionModel.Distribution value) {
this.distribution = value;
}
/**
* Gets the value of the distParameter property.
*
* @return
* possible object is
* {@link Double }
*
*/
public Double getDistParameter() {
return distParameter;
}
/**
* Sets the value of the distParameter property.
*
* @param value
* allowed object is
* {@link Double }
*
*/
public void setDistParameter(Double value) {
this.distParameter = value;
}
/**
* Gets the value of the offsetVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getOffsetVariable() {
return offsetVariable;
}
/**
* Sets the value of the offsetVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setOffsetVariable(FieldName value) {
this.offsetVariable = value;
}
/**
* Gets the value of the offsetValue property.
*
* @return
* possible object is
* {@link Double }
*
*/
public Double getOffsetValue() {
return offsetValue;
}
/**
* Sets the value of the offsetValue property.
*
* @param value
* allowed object is
* {@link Double }
*
*/
public void setOffsetValue(Double value) {
this.offsetValue = value;
}
/**
* Gets the value of the modelDF property.
*
* @return
* possible object is
* {@link Double }
*
*/
public Double getModelDF() {
return modelDF;
}
/**
* Sets the value of the modelDF property.
*
* @param value
* allowed object is
* {@link Double }
*
*/
public void setModelDF(Double value) {
this.modelDF = value;
}
/**
* Gets the value of the endTimeVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getEndTimeVariable() {
return endTimeVariable;
}
/**
* Sets the value of the endTimeVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setEndTimeVariable(FieldName value) {
this.endTimeVariable = value;
}
/**
* Gets the value of the startTimeVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getStartTimeVariable() {
return startTimeVariable;
}
/**
* Sets the value of the startTimeVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setStartTimeVariable(FieldName value) {
this.startTimeVariable = value;
}
/**
* Gets the value of the subjectIDVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getSubjectIDVariable() {
return subjectIDVariable;
}
/**
* Sets the value of the subjectIDVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setSubjectIDVariable(FieldName value) {
this.subjectIDVariable = value;
}
/**
* Gets the value of the statusVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getStatusVariable() {
return statusVariable;
}
/**
* Sets the value of the statusVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setStatusVariable(FieldName value) {
this.statusVariable = value;
}
/**
* Gets the value of the baselineStrataVariable property.
*
* @return
* possible object is
* {@link String }
*
*/
public FieldName getBaselineStrataVariable() {
return baselineStrataVariable;
}
/**
* Sets the value of the baselineStrataVariable property.
*
* @param value
* allowed object is
* {@link String }
*
*/
public void setBaselineStrataVariable(FieldName value) {
this.baselineStrataVariable = value;
}
/**
* Gets the value of the scorable property.
*
* @return
* possible object is
* {@link Boolean }
*
*/
public boolean isScorable() {
if (scorable == null) {
return true;
} else {
return scorable;
}
}
/**
* Sets the value of the scorable property.
*
* @param value
* allowed object is
* {@link Boolean }
*
*/
public void setScorable(Boolean value) {
this.scorable = value;
}
public GeneralRegressionModel withExtensions(Extension... values) {
if (values!= null) {
for (Extension value: values) {
getExtensions().add(value);
}
}
return this;
}
public GeneralRegressionModel withExtensions(Collection values) {
if (values!= null) {
getExtensions().addAll(values);
}
return this;
}
public GeneralRegressionModel withMiningSchema(MiningSchema value) {
setMiningSchema(value);
return this;
}
public GeneralRegressionModel withOutput(Output value) {
setOutput(value);
return this;
}
public GeneralRegressionModel withModelStats(ModelStats value) {
setModelStats(value);
return this;
}
public GeneralRegressionModel withModelExplanation(ModelExplanation value) {
setModelExplanation(value);
return this;
}
public GeneralRegressionModel withTargets(Targets value) {
setTargets(value);
return this;
}
public GeneralRegressionModel withLocalTransformations(LocalTransformations value) {
setLocalTransformations(value);
return this;
}
public GeneralRegressionModel withParameterList(ParameterList value) {
setParameterList(value);
return this;
}
public GeneralRegressionModel withFactorList(FactorList value) {
setFactorList(value);
return this;
}
public GeneralRegressionModel withCovariateList(CovariateList value) {
setCovariateList(value);
return this;
}
public GeneralRegressionModel withPPMatrix(PPMatrix value) {
setPPMatrix(value);
return this;
}
public GeneralRegressionModel withPCovMatrix(PCovMatrix value) {
setPCovMatrix(value);
return this;
}
public GeneralRegressionModel withParamMatrix(ParamMatrix value) {
setParamMatrix(value);
return this;
}
public GeneralRegressionModel withEventValues(EventValues value) {
setEventValues(value);
return this;
}
public GeneralRegressionModel withBaseCumHazardTables(BaseCumHazardTables value) {
setBaseCumHazardTables(value);
return this;
}
public GeneralRegressionModel withModelVerification(ModelVerification value) {
setModelVerification(value);
return this;
}
public GeneralRegressionModel withTargetVariableName(FieldName value) {
setTargetVariableName(value);
return this;
}
public GeneralRegressionModel withModelType(GeneralRegressionModel.ModelType value) {
setModelType(value);
return this;
}
public GeneralRegressionModel withModelName(String value) {
setModelName(value);
return this;
}
public GeneralRegressionModel withFunctionName(MiningFunctionType value) {
setFunctionName(value);
return this;
}
public GeneralRegressionModel withAlgorithmName(String value) {
setAlgorithmName(value);
return this;
}
public GeneralRegressionModel withTargetReferenceCategory(String value) {
setTargetReferenceCategory(value);
return this;
}
public GeneralRegressionModel withCumulativeLink(CumulativeLinkFunctionType value) {
setCumulativeLink(value);
return this;
}
public GeneralRegressionModel withLinkFunction(LinkFunctionType value) {
setLinkFunction(value);
return this;
}
public GeneralRegressionModel withLinkParameter(Double value) {
setLinkParameter(value);
return this;
}
public GeneralRegressionModel withTrialsVariable(FieldName value) {
setTrialsVariable(value);
return this;
}
public GeneralRegressionModel withTrialsValue(Integer value) {
setTrialsValue(value);
return this;
}
public GeneralRegressionModel withDistribution(GeneralRegressionModel.Distribution value) {
setDistribution(value);
return this;
}
public GeneralRegressionModel withDistParameter(Double value) {
setDistParameter(value);
return this;
}
public GeneralRegressionModel withOffsetVariable(FieldName value) {
setOffsetVariable(value);
return this;
}
public GeneralRegressionModel withOffsetValue(Double value) {
setOffsetValue(value);
return this;
}
public GeneralRegressionModel withModelDF(Double value) {
setModelDF(value);
return this;
}
public GeneralRegressionModel withEndTimeVariable(FieldName value) {
setEndTimeVariable(value);
return this;
}
public GeneralRegressionModel withStartTimeVariable(FieldName value) {
setStartTimeVariable(value);
return this;
}
public GeneralRegressionModel withSubjectIDVariable(FieldName value) {
setSubjectIDVariable(value);
return this;
}
public GeneralRegressionModel withStatusVariable(FieldName value) {
setStatusVariable(value);
return this;
}
public GeneralRegressionModel withBaselineStrataVariable(FieldName value) {
setBaselineStrataVariable(value);
return this;
}
public GeneralRegressionModel withScorable(Boolean value) {
setScorable(value);
return this;
}
public Locator sourceLocation() {
return locator;
}
public void setSourceLocation(Locator newLocator) {
locator = newLocator;
}
@Override
public VisitorAction accept(Visitor visitor) {
VisitorAction status = visitor.visit(this);
for (int i = 0; (((status == VisitorAction.CONTINUE)&&(this.extensions!= null))&&(iJava 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="binomial"/>
* <enumeration value="gamma"/>
* <enumeration value="igauss"/>
* <enumeration value="negbin"/>
* <enumeration value="normal"/>
* <enumeration value="poisson"/>
* <enumeration value="tweedie"/>
* </restriction>
* </simpleType>
*
*
*/
@XmlType(name = "")
@XmlEnum
@Added(Version.PMML_3_2)
public enum Distribution {
@XmlEnumValue("binomial")
BINOMIAL("binomial"),
@XmlEnumValue("gamma")
GAMMA("gamma"),
@XmlEnumValue("igauss")
IGAUSS("igauss"),
@XmlEnumValue("negbin")
NEGBIN("negbin"),
@XmlEnumValue("normal")
NORMAL("normal"),
@XmlEnumValue("poisson")
POISSON("poisson"),
@XmlEnumValue("tweedie")
@Added(Version.PMML_4_0)
TWEEDIE("tweedie");
private final String value;
Distribution(String v) {
value = v;
}
public String value() {
return value;
}
public static GeneralRegressionModel.Distribution fromValue(String v) {
for (GeneralRegressionModel.Distribution c: GeneralRegressionModel.Distribution.values()) {
if (c.value.equals(v)) {
return c;
}
}
throw new IllegalArgumentException(v);
}
}
/**
* 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="regression"/>
* <enumeration value="generalLinear"/>
* <enumeration value="multinomialLogistic"/>
* <enumeration value="ordinalMultinomial"/>
* <enumeration value="generalizedLinear"/>
* <enumeration value="CoxRegression"/>
* </restriction>
* </simpleType>
*
*
*/
@XmlType(name = "")
@XmlEnum
public enum ModelType {
@XmlEnumValue("regression")
REGRESSION("regression"),
@XmlEnumValue("generalLinear")
GENERAL_LINEAR("generalLinear"),
@XmlEnumValue("multinomialLogistic")
MULTINOMIAL_LOGISTIC("multinomialLogistic"),
@XmlEnumValue("ordinalMultinomial")
@Added(Version.PMML_3_1)
ORDINAL_MULTINOMIAL("ordinalMultinomial"),
@XmlEnumValue("generalizedLinear")
@Added(Version.PMML_3_2)
GENERALIZED_LINEAR("generalizedLinear"),
@XmlEnumValue("CoxRegression")
@Added(Version.PMML_4_0)
COX_REGRESSION("CoxRegression");
private final String value;
ModelType(String v) {
value = v;
}
public String value() {
return value;
}
public static GeneralRegressionModel.ModelType fromValue(String v) {
for (GeneralRegressionModel.ModelType c: GeneralRegressionModel.ModelType.values()) {
if (c.value.equals(v)) {
return c;
}
}
throw new IllegalArgumentException(v);
}
}
}