org.dmg.pmml.regression.RegressionTable 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.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.HasExtensions;
import org.dmg.pmml.Visitor;
import org.dmg.pmml.VisitorAction;
import org.dmg.pmml.adapters.ObjectAdapter;
import org.dmg.pmml.adapters.RealNumberAdapter;
import org.jpmml.model.annotations.ValueConstructor;
@XmlRootElement(name = "RegressionTable", namespace = "http://www.dmg.org/PMML-4_4")
@XmlType(name = "", propOrder = {
"extensions",
"numericPredictors",
"categoricalPredictors",
"predictorTerms"
})
@JsonRootName("RegressionTable")
@JsonPropertyOrder({
"intercept",
"targetCategory",
"extensions",
"numericPredictors",
"categoricalPredictors",
"predictorTerms"
})
public class RegressionTable
extends org.dmg.pmml.PMMLObject
implements HasExtensions
{
@XmlAttribute(name = "intercept", required = true)
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@JsonProperty("intercept")
private Number intercept;
@XmlAttribute(name = "targetCategory")
@XmlJavaTypeAdapter(ObjectAdapter.class)
@XmlSchemaType(name = "anySimpleType")
@JsonProperty("targetCategory")
private Object targetCategory;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Extension")
private List extensions;
@XmlElement(name = "NumericPredictor", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("NumericPredictor")
private List numericPredictors;
@XmlElement(name = "CategoricalPredictor", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("CategoricalPredictor")
private List categoricalPredictors;
@XmlElement(name = "PredictorTerm", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("PredictorTerm")
private List predictorTerms;
private final static long serialVersionUID = 67371267L;
public RegressionTable() {
}
@ValueConstructor
public RegressionTable(
@org.jpmml.model.annotations.Property("intercept")
Number intercept) {
this.intercept = intercept;
}
public Number getIntercept() {
return intercept;
}
public RegressionTable setIntercept(
@org.jpmml.model.annotations.Property("intercept")
Number intercept) {
this.intercept = intercept;
return this;
}
public Object getTargetCategory() {
return targetCategory;
}
public RegressionTable setTargetCategory(
@org.jpmml.model.annotations.Property("targetCategory")
Object targetCategory) {
this.targetCategory = targetCategory;
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 RegressionTable addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
public boolean hasNumericPredictors() {
return ((this.numericPredictors!= null)&&(this.numericPredictors.size()> 0));
}
public List getNumericPredictors() {
if (numericPredictors == null) {
numericPredictors = new ArrayList();
}
return this.numericPredictors;
}
public RegressionTable addNumericPredictors(NumericPredictor... numericPredictors) {
getNumericPredictors().addAll(Arrays.asList(numericPredictors));
return this;
}
public boolean hasCategoricalPredictors() {
return ((this.categoricalPredictors!= null)&&(this.categoricalPredictors.size()> 0));
}
public List getCategoricalPredictors() {
if (categoricalPredictors == null) {
categoricalPredictors = new ArrayList();
}
return this.categoricalPredictors;
}
public RegressionTable addCategoricalPredictors(CategoricalPredictor... categoricalPredictors) {
getCategoricalPredictors().addAll(Arrays.asList(categoricalPredictors));
return this;
}
public boolean hasPredictorTerms() {
return ((this.predictorTerms!= null)&&(this.predictorTerms.size()> 0));
}
public List getPredictorTerms() {
if (predictorTerms == null) {
predictorTerms = new ArrayList();
}
return this.predictorTerms;
}
public RegressionTable addPredictorTerms(PredictorTerm... predictorTerms) {
getPredictorTerms().addAll(Arrays.asList(predictorTerms));
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 = org.dmg.pmml.PMMLObject.traverse(visitor, getExtensions());
}
if ((status == VisitorAction.CONTINUE)&&hasNumericPredictors()) {
status = org.dmg.pmml.PMMLObject.traverse(visitor, getNumericPredictors());
}
if ((status == VisitorAction.CONTINUE)&&hasCategoricalPredictors()) {
status = org.dmg.pmml.PMMLObject.traverse(visitor, getCategoricalPredictors());
}
if ((status == VisitorAction.CONTINUE)&&hasPredictorTerms()) {
status = org.dmg.pmml.PMMLObject.traverse(visitor, getPredictorTerms());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
}