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org.dmg.pmml.mining.Segmentation Maven / Gradle / Ivy
package org.dmg.pmml.mining;
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 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.LocalTransformations;
import org.dmg.pmml.StringValue;
import org.dmg.pmml.Visitor;
import org.dmg.pmml.VisitorAction;
import org.dmg.pmml.adapters.ProbabilityNumberAdapter;
import org.jpmml.model.annotations.Removed;
import org.jpmml.model.annotations.ValueConstructor;
@XmlRootElement(name = "Segmentation", namespace = "http://www.dmg.org/PMML-4_4")
@XmlType(name = "", propOrder = {
"extensions",
"localTransformations",
"segments"
})
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonRootName("Segmentation")
@JsonPropertyOrder({
"multipleModelMethod",
"missingPredictionTreatment",
"missingThreshold",
"extensions",
"localTransformations",
"segments"
})
public class Segmentation
extends org.dmg.pmml.PMMLObject
implements HasExtensions
{
@XmlAttribute(name = "multipleModelMethod", required = true)
@JsonProperty("multipleModelMethod")
private Segmentation.MultipleModelMethod multipleModelMethod;
@XmlAttribute(name = "missingPredictionTreatment")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_4))
@JsonProperty("missingPredictionTreatment")
private Segmentation.MissingPredictionTreatment missingPredictionTreatment;
@XmlAttribute(name = "missingThreshold")
@XmlJavaTypeAdapter(ProbabilityNumberAdapter.class)
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_4))
@JsonProperty("missingThreshold")
private Number missingThreshold;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Extension")
private List extensions;
@XmlElement(name = "LocalTransformations", namespace = "http://www.dmg.org/PMML-4_4")
@Removed((org.dmg.pmml.Version.PMML_4_1))
@JsonProperty("LocalTransformations")
private LocalTransformations localTransformations;
@XmlElement(name = "Segment", namespace = "http://www.dmg.org/PMML-4_4", required = true)
@JsonProperty("Segment")
private List segments;
private final static Number DEFAULT_MISSING_THRESHOLD = new ProbabilityNumberAdapter().unmarshal("1");
private final static long serialVersionUID = 67371267L;
public Segmentation() {
}
@ValueConstructor
public Segmentation(
@org.jpmml.model.annotations.Property("multipleModelMethod")
Segmentation.MultipleModelMethod multipleModelMethod,
@org.jpmml.model.annotations.Property("segments")
List segments) {
this.multipleModelMethod = multipleModelMethod;
this.segments = segments;
}
public Segmentation.MultipleModelMethod getMultipleModelMethod() {
return multipleModelMethod;
}
public Segmentation setMultipleModelMethod(
@org.jpmml.model.annotations.Property("multipleModelMethod")
Segmentation.MultipleModelMethod multipleModelMethod) {
this.multipleModelMethod = multipleModelMethod;
return this;
}
public Segmentation.MissingPredictionTreatment getMissingPredictionTreatment() {
if (missingPredictionTreatment == null) {
return Segmentation.MissingPredictionTreatment.CONTINUE;
} else {
return missingPredictionTreatment;
}
}
public Segmentation setMissingPredictionTreatment(
@org.jpmml.model.annotations.Property("missingPredictionTreatment")
Segmentation.MissingPredictionTreatment missingPredictionTreatment) {
this.missingPredictionTreatment = missingPredictionTreatment;
return this;
}
public Number getMissingThreshold() {
if (missingThreshold == null) {
return DEFAULT_MISSING_THRESHOLD;
} else {
return missingThreshold;
}
}
public Segmentation setMissingThreshold(
@org.jpmml.model.annotations.Property("missingThreshold")
Number missingThreshold) {
this.missingThreshold = missingThreshold;
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 Segmentation addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
public LocalTransformations getLocalTransformations() {
return localTransformations;
}
public Segmentation setLocalTransformations(
@org.jpmml.model.annotations.Property("localTransformations")
LocalTransformations localTransformations) {
this.localTransformations = localTransformations;
return this;
}
public boolean hasSegments() {
return ((this.segments!= null)&&(this.segments.size()> 0));
}
public List getSegments() {
if (segments == null) {
segments = new ArrayList();
}
return this.segments;
}
public Segmentation addSegments(Segment... segments) {
getSegments().addAll(Arrays.asList(segments));
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) {
status = org.dmg.pmml.PMMLObject.traverse(visitor, getLocalTransformations());
}
if ((status == VisitorAction.CONTINUE)&&hasSegments()) {
status = org.dmg.pmml.PMMLObject.traverse(visitor, getSegments());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
@XmlType(name = "")
@XmlEnum
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_4))
public enum MissingPredictionTreatment
implements StringValue
{
@XmlEnumValue("returnMissing")
@JsonProperty("returnMissing")
RETURN_MISSING("returnMissing"),
@XmlEnumValue("skipSegment")
@JsonProperty("skipSegment")
SKIP_SEGMENT("skipSegment"),
@XmlEnumValue("continue")
@JsonProperty("continue")
CONTINUE("continue");
private final String value;
MissingPredictionTreatment(String v) {
value = v;
}
@Override
public String value() {
return value;
}
public static Segmentation.MissingPredictionTreatment fromValue(String v) {
for (Segmentation.MissingPredictionTreatment c: Segmentation.MissingPredictionTreatment.values()) {
if (c.value.equals(v)) {
return c;
}
}
throw new IllegalArgumentException(v);
}
@Override
public String toString() {
return value();
}
}
@XmlType(name = "")
@XmlEnum
public enum MultipleModelMethod
implements StringValue
{
@XmlEnumValue("majorityVote")
@JsonProperty("majorityVote")
MAJORITY_VOTE("majorityVote"),
@XmlEnumValue("weightedMajorityVote")
@JsonProperty("weightedMajorityVote")
WEIGHTED_MAJORITY_VOTE("weightedMajorityVote"),
@XmlEnumValue("average")
@JsonProperty("average")
AVERAGE("average"),
@XmlEnumValue("weightedAverage")
@JsonProperty("weightedAverage")
WEIGHTED_AVERAGE("weightedAverage"),
@XmlEnumValue("median")
@JsonProperty("median")
MEDIAN("median"),
@XmlEnumValue("weightedMedian")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_4))
@JsonProperty("weightedMedian")
WEIGHTED_MEDIAN("weightedMedian"),
@XmlEnumValue("max")
@JsonProperty("max")
MAX("max"),
@XmlEnumValue("sum")
@JsonProperty("sum")
SUM("sum"),
@XmlEnumValue("weightedSum")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_4))
@JsonProperty("weightedSum")
WEIGHTED_SUM("weightedSum"),
@XmlEnumValue("selectFirst")
@JsonProperty("selectFirst")
SELECT_FIRST("selectFirst"),
@XmlEnumValue("selectAll")
@JsonProperty("selectAll")
SELECT_ALL("selectAll"),
@XmlEnumValue("modelChain")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_1))
@JsonProperty("modelChain")
MODEL_CHAIN("modelChain");
private final String value;
MultipleModelMethod(String v) {
value = v;
}
@Override
public String value() {
return value;
}
public static Segmentation.MultipleModelMethod fromValue(String v) {
for (Segmentation.MultipleModelMethod c: Segmentation.MultipleModelMethod.values()) {
if (c.value.equals(v)) {
return c;
}
}
throw new IllegalArgumentException(v);
}
@Override
public String toString() {
return value();
}
}
}
