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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.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.XmlSchemaType;
import javax.xml.bind.annotation.XmlType;
import javax.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonPropertyOrder;
import com.fasterxml.jackson.annotation.JsonRootName;
import org.dmg.pmml.Extension;
import org.dmg.pmml.FieldName;
import org.dmg.pmml.HasExtensions;
import org.dmg.pmml.LocalTransformations;
import org.dmg.pmml.MathContext;
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.StringValue;
import org.dmg.pmml.Targets;
import org.dmg.pmml.Visitor;
import org.dmg.pmml.VisitorAction;
import org.dmg.pmml.adapters.FieldNameAdapter;
import org.dmg.pmml.adapters.IntegerAdapter;
import org.dmg.pmml.adapters.ObjectAdapter;
import org.dmg.pmml.adapters.RealNumberAdapter;
import org.jpmml.model.annotations.Deprecated;
import org.jpmml.model.annotations.Required;
import org.jpmml.model.annotations.ValueConstructor;
@XmlRootElement(name = "GeneralRegressionModel", namespace = "http://www.dmg.org/PMML-4_4")
@XmlType(name = "", propOrder = {
"extensions",
"miningSchema",
"output",
"modelStats",
"modelExplanation",
"targets",
"localTransformations",
"parameterList",
"factorList",
"covariateList",
"ppMatrix",
"pCovMatrix",
"paramMatrix",
"eventValues",
"baseCumHazardTables",
"modelVerification"
})
@JsonRootName("GeneralRegressionModel")
@JsonPropertyOrder({
"targetVariable",
"modelType",
"modelName",
"miningFunction",
"algorithmName",
"targetReferenceCategory",
"cumulativeLinkFunction",
"linkFunction",
"linkParameter",
"trialsVariable",
"trialsValue",
"distribution",
"distParameter",
"offsetVariable",
"offsetValue",
"modelDF",
"endTimeVariable",
"startTimeVariable",
"subjectIDVariable",
"statusVariable",
"baselineStrataVariable",
"scorable",
"mathContext",
"extensions",
"miningSchema",
"output",
"modelStats",
"modelExplanation",
"targets",
"localTransformations",
"parameterList",
"factorList",
"covariateList",
"ppMatrix",
"pCovMatrix",
"paramMatrix",
"eventValues",
"baseCumHazardTables",
"modelVerification"
})
public class GeneralRegressionModel
extends Model
implements HasExtensions
{
@XmlAttribute(name = "targetVariableName")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@Deprecated((org.dmg.pmml.Version.PMML_3_0))
@JsonProperty("targetVariableName")
private FieldName targetVariable;
@XmlAttribute(name = "modelType", required = true)
@JsonProperty("modelType")
private GeneralRegressionModel.ModelType modelType;
@XmlAttribute(name = "modelName")
@JsonProperty("modelName")
private String modelName;
@XmlAttribute(name = "functionName", required = true)
@JsonProperty("functionName")
private MiningFunction miningFunction;
@XmlAttribute(name = "algorithmName")
@JsonProperty("algorithmName")
private String algorithmName;
@XmlAttribute(name = "targetReferenceCategory")
@XmlJavaTypeAdapter(ObjectAdapter.class)
@XmlSchemaType(name = "anySimpleType")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("targetReferenceCategory")
private Object targetReferenceCategory;
@XmlAttribute(name = "cumulativeLink")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_1))
@JsonProperty("cumulativeLink")
private GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction;
@XmlAttribute(name = "linkFunction")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("linkFunction")
private GeneralRegressionModel.LinkFunction linkFunction;
@XmlAttribute(name = "linkParameter")
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("linkParameter")
private Number linkParameter;
@XmlAttribute(name = "trialsVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("trialsVariable")
private FieldName trialsVariable;
@XmlAttribute(name = "trialsValue")
@XmlJavaTypeAdapter(IntegerAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("trialsValue")
private Integer trialsValue;
@XmlAttribute(name = "distribution")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("distribution")
private GeneralRegressionModel.Distribution distribution;
@XmlAttribute(name = "distParameter")
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("distParameter")
private Number distParameter;
@XmlAttribute(name = "offsetVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("offsetVariable")
private FieldName offsetVariable;
@XmlAttribute(name = "offsetValue")
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("offsetValue")
private Number offsetValue;
@XmlAttribute(name = "modelDF")
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("modelDF")
private Number modelDF;
@XmlAttribute(name = "endTimeVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("endTimeVariable")
private FieldName endTimeVariable;
@XmlAttribute(name = "startTimeVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("startTimeVariable")
private FieldName startTimeVariable;
@XmlAttribute(name = "subjectIDVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("subjectIDVariable")
private FieldName subjectIDVariable;
@XmlAttribute(name = "statusVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("statusVariable")
private FieldName statusVariable;
@XmlAttribute(name = "baselineStrataVariable")
@XmlJavaTypeAdapter(FieldNameAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("baselineStrataVariable")
private FieldName baselineStrataVariable;
@XmlAttribute(name = "isScorable")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_1))
@JsonProperty("isScorable")
private Boolean scorable;
@XmlAttribute(name = "x-mathContext")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.XPMML))
@JsonProperty("x-mathContext")
private MathContext mathContext;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Extension")
private List extensions;
@XmlElement(name = "MiningSchema", namespace = "http://www.dmg.org/PMML-4_4", required = true)
@JsonProperty("MiningSchema")
private MiningSchema miningSchema;
@XmlElement(name = "Output", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Output")
private Output output;
@XmlElement(name = "ModelStats", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("ModelStats")
private ModelStats modelStats;
@XmlElement(name = "ModelExplanation", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("ModelExplanation")
private ModelExplanation modelExplanation;
@XmlElement(name = "Targets", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Targets")
private Targets targets;
@XmlElement(name = "LocalTransformations", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("LocalTransformations")
private LocalTransformations localTransformations;
@XmlElement(name = "ParameterList", namespace = "http://www.dmg.org/PMML-4_4", required = true)
@JsonProperty("ParameterList")
private ParameterList parameterList;
@XmlElement(name = "FactorList", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("FactorList")
private FactorList factorList;
@XmlElement(name = "CovariateList", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("CovariateList")
private CovariateList covariateList;
@XmlElement(name = "PPMatrix", namespace = "http://www.dmg.org/PMML-4_4", required = true)
@Required((org.dmg.pmml.Version.PMML_3_1))
@JsonProperty("PPMatrix")
private PPMatrix ppMatrix;
@XmlElement(name = "PCovMatrix", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("PCovMatrix")
private PCovMatrix pCovMatrix;
@XmlElement(name = "ParamMatrix", namespace = "http://www.dmg.org/PMML-4_4", required = true)
@JsonProperty("ParamMatrix")
private ParamMatrix paramMatrix;
@XmlElement(name = "EventValues", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("EventValues")
private EventValues eventValues;
@XmlElement(name = "BaseCumHazardTables", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("BaseCumHazardTables")
private BaseCumHazardTables baseCumHazardTables;
@XmlElement(name = "ModelVerification", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("ModelVerification")
private ModelVerification modelVerification;
private final static Boolean DEFAULT_SCORABLE = true;
private final static long serialVersionUID = 67371010L;
public GeneralRegressionModel() {
}
@ValueConstructor
public GeneralRegressionModel(
@org.jpmml.model.annotations.Property("modelType")
GeneralRegressionModel.ModelType modelType,
@org.jpmml.model.annotations.Property("miningFunction")
MiningFunction miningFunction,
@org.jpmml.model.annotations.Property("miningSchema")
MiningSchema miningSchema,
@org.jpmml.model.annotations.Property("parameterList")
ParameterList parameterList,
@org.jpmml.model.annotations.Property("ppMatrix")
PPMatrix ppMatrix,
@org.jpmml.model.annotations.Property("paramMatrix")
ParamMatrix paramMatrix) {
this.modelType = modelType;
this.miningFunction = miningFunction;
this.miningSchema = miningSchema;
this.parameterList = parameterList;
this.ppMatrix = ppMatrix;
this.paramMatrix = paramMatrix;
}
public FieldName getTargetVariable() {
return targetVariable;
}
public GeneralRegressionModel setTargetVariable(
@org.jpmml.model.annotations.Property("targetVariable")
FieldName targetVariable) {
this.targetVariable = targetVariable;
return this;
}
public GeneralRegressionModel.ModelType getModelType() {
return modelType;
}
public GeneralRegressionModel setModelType(
@org.jpmml.model.annotations.Property("modelType")
GeneralRegressionModel.ModelType modelType) {
this.modelType = modelType;
return this;
}
public String getModelName() {
return modelName;
}
public GeneralRegressionModel setModelName(
@org.jpmml.model.annotations.Property("modelName")
String modelName) {
this.modelName = modelName;
return this;
}
public MiningFunction getMiningFunction() {
return miningFunction;
}
public GeneralRegressionModel setMiningFunction(
@org.jpmml.model.annotations.Property("miningFunction")
MiningFunction miningFunction) {
this.miningFunction = miningFunction;
return this;
}
public String getAlgorithmName() {
return algorithmName;
}
public GeneralRegressionModel setAlgorithmName(
@org.jpmml.model.annotations.Property("algorithmName")
String algorithmName) {
this.algorithmName = algorithmName;
return this;
}
public Object getTargetReferenceCategory() {
return targetReferenceCategory;
}
public GeneralRegressionModel setTargetReferenceCategory(
@org.jpmml.model.annotations.Property("targetReferenceCategory")
Object targetReferenceCategory) {
this.targetReferenceCategory = targetReferenceCategory;
return this;
}
public GeneralRegressionModel.CumulativeLinkFunction getCumulativeLinkFunction() {
return cumulativeLinkFunction;
}
public GeneralRegressionModel setCumulativeLinkFunction(
@org.jpmml.model.annotations.Property("cumulativeLinkFunction")
GeneralRegressionModel.CumulativeLinkFunction cumulativeLinkFunction) {
this.cumulativeLinkFunction = cumulativeLinkFunction;
return this;
}
public GeneralRegressionModel.LinkFunction getLinkFunction() {
return linkFunction;
}
public GeneralRegressionModel setLinkFunction(
@org.jpmml.model.annotations.Property("linkFunction")
GeneralRegressionModel.LinkFunction linkFunction) {
this.linkFunction = linkFunction;
return this;
}
public Number getLinkParameter() {
return linkParameter;
}
public GeneralRegressionModel setLinkParameter(
@org.jpmml.model.annotations.Property("linkParameter")
Number linkParameter) {
this.linkParameter = linkParameter;
return this;
}
public FieldName getTrialsVariable() {
return trialsVariable;
}
public GeneralRegressionModel setTrialsVariable(
@org.jpmml.model.annotations.Property("trialsVariable")
FieldName trialsVariable) {
this.trialsVariable = trialsVariable;
return this;
}
public Integer getTrialsValue() {
return trialsValue;
}
public GeneralRegressionModel setTrialsValue(
@org.jpmml.model.annotations.Property("trialsValue")
Integer trialsValue) {
this.trialsValue = trialsValue;
return this;
}
public GeneralRegressionModel.Distribution getDistribution() {
return distribution;
}
public GeneralRegressionModel setDistribution(
@org.jpmml.model.annotations.Property("distribution")
GeneralRegressionModel.Distribution distribution) {
this.distribution = distribution;
return this;
}
public Number getDistParameter() {
return distParameter;
}
public GeneralRegressionModel setDistParameter(
@org.jpmml.model.annotations.Property("distParameter")
Number distParameter) {
this.distParameter = distParameter;
return this;
}
public FieldName getOffsetVariable() {
return offsetVariable;
}
public GeneralRegressionModel setOffsetVariable(
@org.jpmml.model.annotations.Property("offsetVariable")
FieldName offsetVariable) {
this.offsetVariable = offsetVariable;
return this;
}
public Number getOffsetValue() {
return offsetValue;
}
public GeneralRegressionModel setOffsetValue(
@org.jpmml.model.annotations.Property("offsetValue")
Number offsetValue) {
this.offsetValue = offsetValue;
return this;
}
public Number getModelDF() {
return modelDF;
}
public GeneralRegressionModel setModelDF(
@org.jpmml.model.annotations.Property("modelDF")
Number modelDF) {
this.modelDF = modelDF;
return this;
}
public FieldName getEndTimeVariable() {
return endTimeVariable;
}
public GeneralRegressionModel setEndTimeVariable(
@org.jpmml.model.annotations.Property("endTimeVariable")
FieldName endTimeVariable) {
this.endTimeVariable = endTimeVariable;
return this;
}
public FieldName getStartTimeVariable() {
return startTimeVariable;
}
public GeneralRegressionModel setStartTimeVariable(
@org.jpmml.model.annotations.Property("startTimeVariable")
FieldName startTimeVariable) {
this.startTimeVariable = startTimeVariable;
return this;
}
public FieldName getSubjectIDVariable() {
return subjectIDVariable;
}
public GeneralRegressionModel setSubjectIDVariable(
@org.jpmml.model.annotations.Property("subjectIDVariable")
FieldName subjectIDVariable) {
this.subjectIDVariable = subjectIDVariable;
return this;
}
public FieldName getStatusVariable() {
return statusVariable;
}
public GeneralRegressionModel setStatusVariable(
@org.jpmml.model.annotations.Property("statusVariable")
FieldName statusVariable) {
this.statusVariable = statusVariable;
return this;
}
public FieldName getBaselineStrataVariable() {
return baselineStrataVariable;
}
public GeneralRegressionModel setBaselineStrataVariable(
@org.jpmml.model.annotations.Property("baselineStrataVariable")
FieldName baselineStrataVariable) {
this.baselineStrataVariable = baselineStrataVariable;
return this;
}
public boolean isScorable() {
if (scorable == null) {
return DEFAULT_SCORABLE;
} else {
return scorable;
}
}
public GeneralRegressionModel setScorable(
@org.jpmml.model.annotations.Property("scorable")
Boolean scorable) {
this.scorable = scorable;
return this;
}
public MathContext getMathContext() {
if (mathContext == null) {
return MathContext.DOUBLE;
} else {
return mathContext;
}
}
public GeneralRegressionModel setMathContext(
@org.jpmml.model.annotations.Property("mathContext")
MathContext mathContext) {
this.mathContext = mathContext;
return this;
}
@Override
public boolean hasExtensions() {
return ((this.extensions!= null)&&(this.extensions.size()> 0));
}
@Override
public List getExtensions() {
if (extensions == null) {
extensions = new ArrayList();
}
return this.extensions;
}
@Override
public GeneralRegressionModel addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
public MiningSchema getMiningSchema() {
return miningSchema;
}
public GeneralRegressionModel setMiningSchema(
@org.jpmml.model.annotations.Property("miningSchema")
MiningSchema miningSchema) {
this.miningSchema = miningSchema;
return this;
}
public Output getOutput() {
return output;
}
public GeneralRegressionModel setOutput(
@org.jpmml.model.annotations.Property("output")
Output output) {
this.output = output;
return this;
}
public ModelStats getModelStats() {
return modelStats;
}
public GeneralRegressionModel setModelStats(
@org.jpmml.model.annotations.Property("modelStats")
ModelStats modelStats) {
this.modelStats = modelStats;
return this;
}
public ModelExplanation getModelExplanation() {
return modelExplanation;
}
public GeneralRegressionModel setModelExplanation(
@org.jpmml.model.annotations.Property("modelExplanation")
ModelExplanation modelExplanation) {
this.modelExplanation = modelExplanation;
return this;
}
public Targets getTargets() {
return targets;
}
public GeneralRegressionModel setTargets(
@org.jpmml.model.annotations.Property("targets")
Targets targets) {
this.targets = targets;
return this;
}
public LocalTransformations getLocalTransformations() {
return localTransformations;
}
public GeneralRegressionModel setLocalTransformations(
@org.jpmml.model.annotations.Property("localTransformations")
LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
public ParameterList getParameterList() {
return parameterList;
}
public GeneralRegressionModel setParameterList(
@org.jpmml.model.annotations.Property("parameterList")
ParameterList parameterList) {
this.parameterList = parameterList;
return this;
}
public FactorList getFactorList() {
return factorList;
}
public GeneralRegressionModel setFactorList(
@org.jpmml.model.annotations.Property("factorList")
FactorList factorList) {
this.factorList = factorList;
return this;
}
public CovariateList getCovariateList() {
return covariateList;
}
public GeneralRegressionModel setCovariateList(
@org.jpmml.model.annotations.Property("covariateList")
CovariateList covariateList) {
this.covariateList = covariateList;
return this;
}
public PPMatrix getPPMatrix() {
return ppMatrix;
}
public GeneralRegressionModel setPPMatrix(
@org.jpmml.model.annotations.Property("ppMatrix")
PPMatrix ppMatrix) {
this.ppMatrix = ppMatrix;
return this;
}
public PCovMatrix getPCovMatrix() {
return pCovMatrix;
}
public GeneralRegressionModel setPCovMatrix(
@org.jpmml.model.annotations.Property("pCovMatrix")
PCovMatrix pCovMatrix) {
this.pCovMatrix = pCovMatrix;
return this;
}
public ParamMatrix getParamMatrix() {
return paramMatrix;
}
public GeneralRegressionModel setParamMatrix(
@org.jpmml.model.annotations.Property("paramMatrix")
ParamMatrix paramMatrix) {
this.paramMatrix = paramMatrix;
return this;
}
public EventValues getEventValues() {
return eventValues;
}
public GeneralRegressionModel setEventValues(
@org.jpmml.model.annotations.Property("eventValues")
EventValues eventValues) {
this.eventValues = eventValues;
return this;
}
public BaseCumHazardTables getBaseCumHazardTables() {
return baseCumHazardTables;
}
public GeneralRegressionModel setBaseCumHazardTables(
@org.jpmml.model.annotations.Property("baseCumHazardTables")
BaseCumHazardTables baseCumHazardTables) {
this.baseCumHazardTables = baseCumHazardTables;
return this;
}
public ModelVerification getModelVerification() {
return modelVerification;
}
public GeneralRegressionModel setModelVerification(
@org.jpmml.model.annotations.Property("modelVerification")
ModelVerification modelVerification) {
this.modelVerification = modelVerification;
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;
}
@XmlType(name = "")
@XmlEnum
public enum CumulativeLinkFunction
implements StringValue
{
@XmlEnumValue("logit")
@JsonProperty("logit")
LOGIT("logit"),
@XmlEnumValue("probit")
@JsonProperty("probit")
PROBIT("probit"),
@XmlEnumValue("cloglog")
@JsonProperty("cloglog")
CLOGLOG("cloglog"),
@XmlEnumValue("loglog")
@JsonProperty("loglog")
LOGLOG("loglog"),
@XmlEnumValue("cauchit")
@JsonProperty("cauchit")
CAUCHIT("cauchit");
private final String value;
CumulativeLinkFunction(String v) {
value = v;
}
@Override
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);
}
@Override
public String toString() {
return value();
}
}
@XmlType(name = "")
@XmlEnum
public enum Distribution
implements StringValue
{
@XmlEnumValue("binomial")
@JsonProperty("binomial")
BINOMIAL("binomial"),
@XmlEnumValue("gamma")
@JsonProperty("gamma")
GAMMA("gamma"),
@XmlEnumValue("igauss")
@JsonProperty("igauss")
IGAUSS("igauss"),
@XmlEnumValue("negbin")
@JsonProperty("negbin")
NEGBIN("negbin"),
@XmlEnumValue("normal")
@JsonProperty("normal")
NORMAL("normal"),
@XmlEnumValue("poisson")
@JsonProperty("poisson")
POISSON("poisson"),
@XmlEnumValue("tweedie")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("tweedie")
TWEEDIE("tweedie");
private final String value;
Distribution(String v) {
value = v;
}
@Override
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);
}
@Override
public String toString() {
return value();
}
}
@XmlType(name = "")
@XmlEnum
public enum LinkFunction
implements StringValue
{
@XmlEnumValue("cloglog")
@JsonProperty("cloglog")
CLOGLOG("cloglog"),
@XmlEnumValue("identity")
@JsonProperty("identity")
IDENTITY("identity"),
@XmlEnumValue("log")
@JsonProperty("log")
LOG("log"),
@XmlEnumValue("logc")
@JsonProperty("logc")
LOGC("logc"),
@XmlEnumValue("logit")
@JsonProperty("logit")
LOGIT("logit"),
@XmlEnumValue("loglog")
@JsonProperty("loglog")
LOGLOG("loglog"),
@XmlEnumValue("negbin")
@JsonProperty("negbin")
NEGBIN("negbin"),
@XmlEnumValue("oddspower")
@JsonProperty("oddspower")
ODDSPOWER("oddspower"),
@XmlEnumValue("power")
@JsonProperty("power")
POWER("power"),
@XmlEnumValue("probit")
@JsonProperty("probit")
PROBIT("probit");
private final String value;
LinkFunction(String v) {
value = v;
}
@Override
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);
}
@Override
public String toString() {
return value();
}
}
@XmlType(name = "")
@XmlEnum
public enum ModelType
implements StringValue
{
@XmlEnumValue("regression")
@JsonProperty("regression")
REGRESSION("regression"),
@XmlEnumValue("generalLinear")
@JsonProperty("generalLinear")
GENERAL_LINEAR("generalLinear"),
@XmlEnumValue("multinomialLogistic")
@JsonProperty("multinomialLogistic")
MULTINOMIAL_LOGISTIC("multinomialLogistic"),
@XmlEnumValue("ordinalMultinomial")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_1))
@JsonProperty("ordinalMultinomial")
ORDINAL_MULTINOMIAL("ordinalMultinomial"),
@XmlEnumValue("generalizedLinear")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_2))
@JsonProperty("generalizedLinear")
GENERALIZED_LINEAR("generalizedLinear"),
@XmlEnumValue("CoxRegression")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("CoxRegression")
COX_REGRESSION("CoxRegression");
private final String value;
ModelType(String v) {
value = v;
}
@Override
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);
}
@Override
public String toString() {
return value();
}
}
}
