org.dmg.pmml.general_regression.GeneralRegressionModel Maven / Gradle / Ivy
package org.dmg.pmml.general_regression;
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.FieldName;
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.adapters.FieldNameAdapter;
import org.jpmml.schema.Added;
import org.jpmml.schema.Deprecated;
import org.jpmml.schema.Required;
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}ParameterList"/>
* <element ref="{http://www.dmg.org/PMML-4_3}FactorList" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}CovariateList" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}PPMatrix"/>
* <element ref="{http://www.dmg.org/PMML-4_3}PCovMatrix" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}ParamMatrix"/>
* <element ref="{http://www.dmg.org/PMML-4_3}EventValues" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}BaseCumHazardTables" minOccurs="0"/>
* <element ref="{http://www.dmg.org/PMML-4_3}ModelVerification" minOccurs="0"/>
* </sequence>
* <attribute name="targetVariableName" type="{http://www.dmg.org/PMML-4_3}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_3}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">
* <simpleType>
* <restriction base="{http://www.w3.org/2001/XMLSchema}string">
* <enumeration value="logit"/>
* <enumeration value="probit"/>
* <enumeration value="cloglog"/>
* <enumeration value="loglog"/>
* <enumeration value="cauchit"/>
* </restriction>
* </simpleType>
* </attribute>
* <attribute name="linkFunction">
* <simpleType>
* <restriction base="{http://www.w3.org/2001/XMLSchema}string">
* <enumeration value="cloglog"/>
* <enumeration value="identity"/>
* <enumeration value="x-inverse"/>
* <enumeration value="log"/>
* <enumeration value="logc"/>
* <enumeration value="logit"/>
* <enumeration value="loglog"/>
* <enumeration value="negbin"/>
* <enumeration value="oddspower"/>
* <enumeration value="power"/>
* <enumeration value="probit"/>
* <enumeration value="x-sqrt"/>
* </restriction>
* </simpleType>
* </attribute>
* <attribute name="linkParameter" type="{http://www.dmg.org/PMML-4_3}REAL-NUMBER" />
* <attribute name="trialsVariable" type="{http://www.dmg.org/PMML-4_3}FIELD-NAME" />
* <attribute name="trialsValue" type="{http://www.dmg.org/PMML-4_3}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_3}REAL-NUMBER" />
* <attribute name="offsetVariable" type="{http://www.dmg.org/PMML-4_3}FIELD-NAME" />
* <attribute name="offsetValue" type="{http://www.dmg.org/PMML-4_3}REAL-NUMBER" />
* <attribute name="modelDF" type="{http://www.dmg.org/PMML-4_3}REAL-NUMBER" />
* <attribute name="endTimeVariable" type="{http://www.dmg.org/PMML-4_3}FIELD-NAME" />
* <attribute name="startTimeVariable" type="{http://www.dmg.org/PMML-4_3}FIELD-NAME" />
* <attribute name="subjectIDVariable" type="{http://www.dmg.org/PMML-4_3}FIELD-NAME" />
* <attribute name="statusVariable" type="{http://www.dmg.org/PMML-4_3}FIELD-NAME" />
* <attribute name="baselineStrataVariable" type="{http://www.dmg.org/PMML-4_3}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", namespace = "http://www.dmg.org/PMML-4_3")
public class GeneralRegressionModel
extends Model
implements HasExtensions
{
@XmlAttribute(name = "targetVariableName")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Deprecated(Version.PMML_3_0)
private FieldName targetVariableName;
@XmlAttribute(name = "modelType", required = true)
private GeneralRegressionModel.ModelType modelType;
@XmlAttribute(name = "modelName")
private String modelName;
@XmlAttribute(name = "functionName", required = true)
private MiningFunction miningFunction;
@XmlAttribute(name = "algorithmName")
private String algorithmName;
@XmlAttribute(name = "targetReferenceCategory")
@Added(Version.PMML_4_0)
private String targetReferenceCategory;
@XmlAttribute(name = "cumulativeLink")
@Added(Version.PMML_3_1)
private GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction;
@XmlAttribute(name = "linkFunction")
@Added(Version.PMML_3_2)
private GeneralRegressionModel.LinkFunction linkFunction;
@XmlAttribute(name = "linkParameter")
@Added(Version.PMML_3_2)
private Double linkParameter;
@XmlAttribute(name = "trialsVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_3_2)
private FieldName trialsVariable;
@XmlAttribute(name = "trialsValue")
@Added(Version.PMML_3_2)
private Integer trialsValue;
@XmlAttribute(name = "distribution")
@Added(Version.PMML_3_2)
private GeneralRegressionModel.Distribution distribution;
@XmlAttribute(name = "distParameter")
@Added(Version.PMML_3_2)
private Double distParameter;
@XmlAttribute(name = "offsetVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_3_2)
private FieldName offsetVariable;
@XmlAttribute(name = "offsetValue")
@Added(Version.PMML_3_2)
private Double offsetValue;
@XmlAttribute(name = "modelDF")
@Added(Version.PMML_4_0)
private Double modelDF;
@XmlAttribute(name = "endTimeVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
private FieldName endTimeVariable;
@XmlAttribute(name = "startTimeVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
private FieldName startTimeVariable;
@XmlAttribute(name = "subjectIDVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
private FieldName subjectIDVariable;
@XmlAttribute(name = "statusVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
private FieldName statusVariable;
@XmlAttribute(name = "baselineStrataVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Added(Version.PMML_4_0)
private FieldName baselineStrataVariable;
@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 = "ParameterList", namespace = "http://www.dmg.org/PMML-4_3", required = true)
private ParameterList parameterList;
@XmlElement(name = "FactorList", namespace = "http://www.dmg.org/PMML-4_3")
private FactorList factorList;
@XmlElement(name = "CovariateList", namespace = "http://www.dmg.org/PMML-4_3")
private CovariateList covariateList;
@XmlElement(name = "PPMatrix", namespace = "http://www.dmg.org/PMML-4_3", required = true)
@Required(Version.PMML_3_1)
private PPMatrix ppMatrix;
@XmlElement(name = "PCovMatrix", namespace = "http://www.dmg.org/PMML-4_3")
private PCovMatrix pCovMatrix;
@XmlElement(name = "ParamMatrix", namespace = "http://www.dmg.org/PMML-4_3", required = true)
private ParamMatrix paramMatrix;
@XmlElement(name = "EventValues", namespace = "http://www.dmg.org/PMML-4_3")
@Added(Version.PMML_4_0)
private EventValues eventValues;
@XmlElement(name = "BaseCumHazardTables", namespace = "http://www.dmg.org/PMML-4_3")
@Added(Version.PMML_4_0)
private BaseCumHazardTables baseCumHazardTables;
@XmlElement(name = "ModelVerification", namespace = "http://www.dmg.org/PMML-4_3")
private ModelVerification modelVerification;
private final static Boolean DEFAULT_SCORABLE = true;
public GeneralRegressionModel() {
super();
}
public GeneralRegressionModel(final GeneralRegressionModel.ModelType modelType, final MiningFunction miningFunction, final MiningSchema miningSchema, final ParameterList parameterList, final PPMatrix ppMatrix, final ParamMatrix paramMatrix) {
super();
this.modelType = modelType;
this.miningFunction = miningFunction;
this.miningSchema = miningSchema;
this.parameterList = parameterList;
this.ppMatrix = ppMatrix;
this.paramMatrix = paramMatrix;
}
/**
* 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 targetVariableName
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setTargetVariableName(FieldName targetVariableName) {
this.targetVariableName = targetVariableName;
return this;
}
/**
* 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 modelType
* allowed object is
* {@link GeneralRegressionModel.ModelType }
*
*/
public GeneralRegressionModel setModelType(GeneralRegressionModel.ModelType modelType) {
this.modelType = modelType;
return this;
}
/**
* 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 GeneralRegressionModel 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 GeneralRegressionModel 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 GeneralRegressionModel setAlgorithmName(String algorithmName) {
this.algorithmName = algorithmName;
return this;
}
/**
* 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 targetReferenceCategory
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setTargetReferenceCategory(String targetReferenceCategory) {
this.targetReferenceCategory = targetReferenceCategory;
return this;
}
/**
* Gets the value of the cumulativeLinkFunction property.
*
* @return
* possible object is
* {@link GeneralRegressionModel.CumulativeLinkFunction }
*
*/
public GeneralRegressionModel.CumulativeLinkFunction getCumulativeLinkFunction() {
return cumulativeLinkFunction;
}
/**
* Sets the value of the cumulativeLinkFunction property.
*
* @param cumulativeLinkFunction
* allowed object is
* {@link GeneralRegressionModel.CumulativeLinkFunction }
*
*/
public GeneralRegressionModel setCumulativeLinkFunction(GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction) {
this.cumulativeLinkFunction = cumulativeLinkFunction;
return this;
}
/**
* Gets the value of the linkFunction property.
*
* @return
* possible object is
* {@link GeneralRegressionModel.LinkFunction }
*
*/
public GeneralRegressionModel.LinkFunction getLinkFunction() {
return linkFunction;
}
/**
* Sets the value of the linkFunction property.
*
* @param linkFunction
* allowed object is
* {@link GeneralRegressionModel.LinkFunction }
*
*/
public GeneralRegressionModel setLinkFunction(GeneralRegressionModel.LinkFunction linkFunction) {
this.linkFunction = linkFunction;
return this;
}
/**
* 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 linkParameter
* allowed object is
* {@link Double }
*
*/
public GeneralRegressionModel setLinkParameter(Double linkParameter) {
this.linkParameter = linkParameter;
return this;
}
/**
* 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 trialsVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setTrialsVariable(FieldName trialsVariable) {
this.trialsVariable = trialsVariable;
return this;
}
/**
* 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 trialsValue
* allowed object is
* {@link Integer }
*
*/
public GeneralRegressionModel setTrialsValue(Integer trialsValue) {
this.trialsValue = trialsValue;
return this;
}
/**
* 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 distribution
* allowed object is
* {@link GeneralRegressionModel.Distribution }
*
*/
public GeneralRegressionModel setDistribution(GeneralRegressionModel.Distribution distribution) {
this.distribution = distribution;
return this;
}
/**
* 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 distParameter
* allowed object is
* {@link Double }
*
*/
public GeneralRegressionModel setDistParameter(Double distParameter) {
this.distParameter = distParameter;
return this;
}
/**
* 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 offsetVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setOffsetVariable(FieldName offsetVariable) {
this.offsetVariable = offsetVariable;
return this;
}
/**
* 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 offsetValue
* allowed object is
* {@link Double }
*
*/
public GeneralRegressionModel setOffsetValue(Double offsetValue) {
this.offsetValue = offsetValue;
return this;
}
/**
* 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 modelDF
* allowed object is
* {@link Double }
*
*/
public GeneralRegressionModel setModelDF(Double modelDF) {
this.modelDF = modelDF;
return this;
}
/**
* 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 endTimeVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setEndTimeVariable(FieldName endTimeVariable) {
this.endTimeVariable = endTimeVariable;
return this;
}
/**
* 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 startTimeVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setStartTimeVariable(FieldName startTimeVariable) {
this.startTimeVariable = startTimeVariable;
return this;
}
/**
* 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 subjectIDVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setSubjectIDVariable(FieldName subjectIDVariable) {
this.subjectIDVariable = subjectIDVariable;
return this;
}
/**
* 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 statusVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setStatusVariable(FieldName statusVariable) {
this.statusVariable = statusVariable;
return this;
}
/**
* 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 baselineStrataVariable
* allowed object is
* {@link String }
*
*/
public GeneralRegressionModel setBaselineStrataVariable(FieldName baselineStrataVariable) {
this.baselineStrataVariable = baselineStrataVariable;
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 GeneralRegressionModel 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 org.dmg.pmml.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 GeneralRegressionModel 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 GeneralRegressionModel 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 GeneralRegressionModel 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 GeneralRegressionModel 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 GeneralRegressionModel 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 GeneralRegressionModel setLocalTransformations(LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
/**
* 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 parameterList
* allowed object is
* {@link ParameterList }
*
*/
public GeneralRegressionModel setParameterList(ParameterList parameterList) {
this.parameterList = parameterList;
return this;
}
/**
* 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 factorList
* allowed object is
* {@link FactorList }
*
*/
public GeneralRegressionModel setFactorList(FactorList factorList) {
this.factorList = factorList;
return this;
}
/**
* 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 covariateList
* allowed object is
* {@link CovariateList }
*
*/
public GeneralRegressionModel setCovariateList(CovariateList covariateList) {
this.covariateList = covariateList;
return this;
}
/**
* 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 ppMatrix
* allowed object is
* {@link PPMatrix }
*
*/
public GeneralRegressionModel setPPMatrix(PPMatrix ppMatrix) {
this.ppMatrix = ppMatrix;
return this;
}
/**
* 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 pCovMatrix
* allowed object is
* {@link PCovMatrix }
*
*/
public GeneralRegressionModel setPCovMatrix(PCovMatrix pCovMatrix) {
this.pCovMatrix = pCovMatrix;
return this;
}
/**
* 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 paramMatrix
* allowed object is
* {@link ParamMatrix }
*
*/
public GeneralRegressionModel setParamMatrix(ParamMatrix paramMatrix) {
this.paramMatrix = paramMatrix;
return this;
}
/**
* 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 eventValues
* allowed object is
* {@link EventValues }
*
*/
public GeneralRegressionModel setEventValues(EventValues eventValues) {
this.eventValues = eventValues;
return this;
}
/**
* 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 baseCumHazardTables
* allowed object is
* {@link BaseCumHazardTables }
*
*/
public GeneralRegressionModel setBaseCumHazardTables(BaseCumHazardTables baseCumHazardTables) {
this.baseCumHazardTables = baseCumHazardTables;
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 GeneralRegressionModel setModelVerification(ModelVerification modelVerification) {
this.modelVerification = modelVerification;
return this;
}
public boolean hasExtensions() {
return ((this.extensions!= null)&&(this.extensions.size()> 0));
}
public GeneralRegressionModel addExtensions(org.dmg.pmml.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(), getParameterList(), getFactorList(), getCovariateList(), getPPMatrix(), getPCovMatrix(), getParamMatrix(), getEventValues(), getBaseCumHazardTables(), 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="logit"/>
* <enumeration value="probit"/>
* <enumeration value="cloglog"/>
* <enumeration value="loglog"/>
* <enumeration value="cauchit"/>
* </restriction>
* </simpleType>
*
*
*/
@XmlType(name = "")
@XmlEnum
@Added(Version.PMML_3_1)
public enum CumulativeLinkFunction {
@XmlEnumValue("logit")
LOGIT("logit"),
@XmlEnumValue("probit")
PROBIT("probit"),
@XmlEnumValue("cloglog")
CLOGLOG("cloglog"),
@XmlEnumValue("loglog")
LOGLOG("loglog"),
@XmlEnumValue("cauchit")
CAUCHIT("cauchit");
private final String value;
CumulativeLinkFunction(String v) {
value = v;
}
public String value() {
return value;
}
public static GeneralRegressionModel.CumulativeLinkFunction fromValue(String v) {
for (GeneralRegressionModel.CumulativeLinkFunction c: GeneralRegressionModel.CumulativeLinkFunction.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="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="cloglog"/>
* <enumeration value="identity"/>
* <enumeration value="x-inverse"/>
* <enumeration value="log"/>
* <enumeration value="logc"/>
* <enumeration value="logit"/>
* <enumeration value="loglog"/>
* <enumeration value="negbin"/>
* <enumeration value="oddspower"/>
* <enumeration value="power"/>
* <enumeration value="probit"/>
* <enumeration value="x-sqrt"/>
* </restriction>
* </simpleType>
*
*
*/
@XmlType(name = "")
@XmlEnum
@Added(Version.PMML_3_2)
public enum LinkFunction {
@XmlEnumValue("cloglog")
CLOGLOG("cloglog"),
@XmlEnumValue("identity")
IDENTITY("identity"),
@XmlEnumValue("x-inverse")
@org.jpmml.schema.Extension
INVERSE("x-inverse"),
@XmlEnumValue("log")
LOG("log"),
@XmlEnumValue("logc")
LOGC("logc"),
@XmlEnumValue("logit")
LOGIT("logit"),
@XmlEnumValue("loglog")
LOGLOG("loglog"),
@XmlEnumValue("negbin")
NEGBIN("negbin"),
@XmlEnumValue("oddspower")
ODDSPOWER("oddspower"),
@XmlEnumValue("power")
POWER("power"),
@XmlEnumValue("probit")
PROBIT("probit"),
@XmlEnumValue("x-sqrt")
@org.jpmml.schema.Extension
SQRT("x-sqrt");
private final String value;
LinkFunction(String v) {
value = v;
}
public String value() {
return value;
}
public static GeneralRegressionModel.LinkFunction fromValue(String v) {
for (GeneralRegressionModel.LinkFunction c: GeneralRegressionModel.LinkFunction.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);
}
}
}