All Downloads are FREE. Search and download functionalities are using the official Maven repository.
Please wait. This can take some minutes ...
Many resources are needed to download a project. Please understand that we have to compensate our server costs. Thank you in advance.
Project price only 1 $
You can buy this project and download/modify it how often you want.
org.dmg.pmml.regression.Regression Maven / Gradle / Ivy
package org.dmg.pmml.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.XmlType;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonPropertyOrder;
import com.fasterxml.jackson.annotation.JsonRootName;
import org.dmg.pmml.EmbeddedModel;
import org.dmg.pmml.Extension;
import org.dmg.pmml.HasExtensions;
import org.dmg.pmml.LocalTransformations;
import org.dmg.pmml.MiningFunction;
import org.dmg.pmml.ModelStats;
import org.dmg.pmml.Output;
import org.dmg.pmml.PMMLObject;
import org.dmg.pmml.ResultField;
import org.dmg.pmml.StringValue;
import org.dmg.pmml.Targets;
import org.dmg.pmml.Visitor;
import org.dmg.pmml.VisitorAction;
import org.jpmml.model.annotations.Deprecated;
import org.jpmml.model.annotations.ValueConstructor;
@XmlRootElement(name = "Regression", namespace = "http://www.dmg.org/PMML-4_4")
@XmlType(name = "", propOrder = {
"extensions",
"output",
"modelStats",
"targets",
"localTransformations",
"resultFields",
"regressionTables"
})
@Deprecated((org.dmg.pmml.Version.PMML_4_1))
@JsonRootName("Regression")
@JsonPropertyOrder({
"modelName",
"miningFunction",
"algorithmName",
"normalizationMethod",
"extensions",
"output",
"modelStats",
"targets",
"localTransformations",
"resultFields",
"regressionTables"
})
public class Regression
extends EmbeddedModel
implements HasExtensions
{
@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 = "normalizationMethod")
@JsonProperty("normalizationMethod")
private Regression.NormalizationMethod normalizationMethod;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Extension")
private List extensions;
@XmlElement(name = "Output", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("Output")
private Output output;
@XmlElement(name = "ModelStats", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("ModelStats")
private ModelStats modelStats;
@XmlElement(name = "Targets", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonProperty("Targets")
private Targets targets;
@XmlElement(name = "LocalTransformations", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("LocalTransformations")
private LocalTransformations localTransformations;
@XmlElement(name = "ResultField", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("ResultField")
private List resultFields;
@XmlElement(name = "RegressionTable", namespace = "http://www.dmg.org/PMML-4_4", required = true)
@JsonProperty("RegressionTable")
private List regressionTables;
private final static long serialVersionUID = 67371010L;
public Regression() {
}
@ValueConstructor
public Regression(
@org.jpmml.model.annotations.Property("miningFunction")
MiningFunction miningFunction,
@org.jpmml.model.annotations.Property("regressionTables")
List regressionTables) {
this.miningFunction = miningFunction;
this.regressionTables = regressionTables;
}
public String getModelName() {
return modelName;
}
public Regression setModelName(
@org.jpmml.model.annotations.Property("modelName")
String modelName) {
this.modelName = modelName;
return this;
}
public MiningFunction getMiningFunction() {
return miningFunction;
}
public Regression setMiningFunction(
@org.jpmml.model.annotations.Property("miningFunction")
MiningFunction miningFunction) {
this.miningFunction = miningFunction;
return this;
}
public String getAlgorithmName() {
return algorithmName;
}
public Regression setAlgorithmName(
@org.jpmml.model.annotations.Property("algorithmName")
String algorithmName) {
this.algorithmName = algorithmName;
return this;
}
public Regression.NormalizationMethod getNormalizationMethod() {
if (normalizationMethod == null) {
return Regression.NormalizationMethod.NONE;
} else {
return normalizationMethod;
}
}
public Regression setNormalizationMethod(
@org.jpmml.model.annotations.Property("normalizationMethod")
Regression.NormalizationMethod normalizationMethod) {
this.normalizationMethod = normalizationMethod;
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 Regression addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
public Output getOutput() {
return output;
}
public Regression setOutput(
@org.jpmml.model.annotations.Property("output")
Output output) {
this.output = output;
return this;
}
public ModelStats getModelStats() {
return modelStats;
}
public Regression setModelStats(
@org.jpmml.model.annotations.Property("modelStats")
ModelStats modelStats) {
this.modelStats = modelStats;
return this;
}
public Targets getTargets() {
return targets;
}
public Regression setTargets(
@org.jpmml.model.annotations.Property("targets")
Targets targets) {
this.targets = targets;
return this;
}
public LocalTransformations getLocalTransformations() {
return localTransformations;
}
public Regression setLocalTransformations(
@org.jpmml.model.annotations.Property("localTransformations")
LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
public boolean hasResultFields() {
return ((this.resultFields!= null)&&(this.resultFields.size()> 0));
}
public List getResultFields() {
if (resultFields == null) {
resultFields = new ArrayList();
}
return this.resultFields;
}
public Regression addResultFields(ResultField... resultFields) {
getResultFields().addAll(Arrays.asList(resultFields));
return this;
}
public boolean hasRegressionTables() {
return ((this.regressionTables!= null)&&(this.regressionTables.size()> 0));
}
public List getRegressionTables() {
if (regressionTables == null) {
regressionTables = new ArrayList();
}
return this.regressionTables;
}
public Regression addRegressionTables(RegressionTable... regressionTables) {
getRegressionTables().addAll(Arrays.asList(regressionTables));
return this;
}
@Override
public VisitorAction accept(Visitor visitor) {
VisitorAction status = visitor.visit(this);
if (status == VisitorAction.CONTINUE) {
visitor.pushParent(this);
if ((status == VisitorAction.CONTINUE)&&hasExtensions()) {
status = PMMLObject.traverse(visitor, getExtensions());
}
if (status == VisitorAction.CONTINUE) {
status = PMMLObject.traverse(visitor, getOutput(), getModelStats(), getTargets(), getLocalTransformations());
}
if ((status == VisitorAction.CONTINUE)&&hasResultFields()) {
status = PMMLObject.traverse(visitor, getResultFields());
}
if ((status == VisitorAction.CONTINUE)&&hasRegressionTables()) {
status = PMMLObject.traverse(visitor, getRegressionTables());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
@XmlType(name = "")
@XmlEnum
public enum NormalizationMethod
implements StringValue
{
@XmlEnumValue("none")
@JsonProperty("none")
NONE("none"),
@XmlEnumValue("simplemax")
@JsonProperty("simplemax")
SIMPLEMAX("simplemax"),
@XmlEnumValue("softmax")
@JsonProperty("softmax")
SOFTMAX("softmax"),
@XmlEnumValue("logit")
@JsonProperty("logit")
LOGIT("logit"),
@XmlEnumValue("probit")
@JsonProperty("probit")
PROBIT("probit"),
@XmlEnumValue("cloglog")
@JsonProperty("cloglog")
CLOGLOG("cloglog"),
@XmlEnumValue("exp")
@JsonProperty("exp")
EXP("exp"),
@XmlEnumValue("loglog")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_1))
@JsonProperty("loglog")
LOGLOG("loglog"),
@XmlEnumValue("cauchit")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_3_1))
@JsonProperty("cauchit")
CAUCHIT("cauchit");
private final String value;
NormalizationMethod(String v) {
value = v;
}
@Override
public String value() {
return value;
}
public static Regression.NormalizationMethod fromValue(String v) {
for (Regression.NormalizationMethod c: Regression.NormalizationMethod.values()) {
if (c.value.equals(v)) {
return c;
}
}
throw new IllegalArgumentException(v);
}
@Override
public String toString() {
return value();
}
}
}