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org.dmg.pmml.mining.Segment Maven / Gradle / Ivy
package org.dmg.pmml.mining;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
import com.fasterxml.jackson.annotation.JsonProperty;
import com.fasterxml.jackson.annotation.JsonPropertyOrder;
import com.fasterxml.jackson.annotation.JsonRootName;
import com.fasterxml.jackson.annotation.JsonSubTypes;
import com.fasterxml.jackson.annotation.JsonTypeInfo;
import jakarta.xml.bind.annotation.XmlAttribute;
import jakarta.xml.bind.annotation.XmlElement;
import jakarta.xml.bind.annotation.XmlElements;
import jakarta.xml.bind.annotation.XmlRootElement;
import jakarta.xml.bind.annotation.XmlType;
import jakarta.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import org.dmg.pmml.Entity;
import org.dmg.pmml.Extension;
import org.dmg.pmml.HasExtensions;
import org.dmg.pmml.HasModel;
import org.dmg.pmml.HasPredicate;
import org.dmg.pmml.Model;
import org.dmg.pmml.PMMLObject;
import org.dmg.pmml.Predicate;
import org.dmg.pmml.Visitor;
import org.dmg.pmml.VisitorAction;
import org.dmg.pmml.adapters.NumberAdapter;
import org.jpmml.model.MissingElementException;
import org.jpmml.model.annotations.ValueConstructor;
@XmlRootElement(name = "Segment", namespace = "http://www.dmg.org/PMML-4_4")
@XmlType(name = "", propOrder = {
"extensions",
"predicate",
"model",
"variableWeight"
})
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_0))
@JsonRootName("Segment")
@JsonPropertyOrder({
"id",
"weight",
"extensions",
"predicate",
"model",
"variableWeight"
})
public class Segment
extends Entity
implements HasExtensions , HasModel , HasPredicate
{
@XmlAttribute(name = "id")
@JsonProperty("id")
private String id;
@XmlAttribute(name = "weight")
@XmlJavaTypeAdapter(NumberAdapter.class)
@JsonProperty("weight")
private Number weight;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Extension")
private List extensions;
@XmlElements({
@XmlElement(name = "SimplePredicate", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.SimplePredicate.class),
@XmlElement(name = "CompoundPredicate", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.CompoundPredicate.class),
@XmlElement(name = "SimpleSetPredicate", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.SimpleSetPredicate.class),
@XmlElement(name = "True", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.True.class),
@XmlElement(name = "False", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.False.class)
})
@JsonProperty("Predicate")
@JsonTypeInfo(include = JsonTypeInfo.As.WRAPPER_OBJECT, use = JsonTypeInfo.Id.NAME)
@JsonSubTypes({
@JsonSubTypes.Type(name = "SimplePredicate", value = org.dmg.pmml.SimplePredicate.class),
@JsonSubTypes.Type(name = "CompoundPredicate", value = org.dmg.pmml.CompoundPredicate.class),
@JsonSubTypes.Type(name = "SimpleSetPredicate", value = org.dmg.pmml.SimpleSetPredicate.class),
@JsonSubTypes.Type(name = "True", value = org.dmg.pmml.True.class),
@JsonSubTypes.Type(name = "False", value = org.dmg.pmml.False.class)
})
private Predicate predicate;
@XmlElements({
@XmlElement(name = "AnomalyDetectionModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.anomaly_detection.AnomalyDetectionModel.class),
@XmlElement(name = "AssociationModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.association.AssociationModel.class),
@XmlElement(name = "BayesianNetworkModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.bayesian_network.BayesianNetworkModel.class),
@XmlElement(name = "BaselineModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.baseline.BaselineModel.class),
@XmlElement(name = "ClusteringModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.clustering.ClusteringModel.class),
@XmlElement(name = "GaussianProcessModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.gaussian_process.GaussianProcessModel.class),
@XmlElement(name = "GeneralRegressionModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.general_regression.GeneralRegressionModel.class),
@XmlElement(name = "MiningModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.mining.MiningModel.class),
@XmlElement(name = "NaiveBayesModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.naive_bayes.NaiveBayesModel.class),
@XmlElement(name = "NearestNeighborModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.nearest_neighbor.NearestNeighborModel.class),
@XmlElement(name = "NeuralNetwork", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.neural_network.NeuralNetwork.class),
@XmlElement(name = "RegressionModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.regression.RegressionModel.class),
@XmlElement(name = "RuleSetModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.rule_set.RuleSetModel.class),
@XmlElement(name = "SequenceModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.sequence.SequenceModel.class),
@XmlElement(name = "Scorecard", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.scorecard.Scorecard.class),
@XmlElement(name = "SupportVectorMachineModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.support_vector_machine.SupportVectorMachineModel.class),
@XmlElement(name = "TextModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.text.TextModel.class),
@XmlElement(name = "TimeSeriesModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.time_series.TimeSeriesModel.class),
@XmlElement(name = "TreeModel", namespace = "http://www.dmg.org/PMML-4_4", type = org.dmg.pmml.tree.TreeModel.class)
})
@JsonProperty("Model")
@JsonTypeInfo(include = JsonTypeInfo.As.WRAPPER_OBJECT, use = JsonTypeInfo.Id.NAME)
@JsonSubTypes({
@JsonSubTypes.Type(name = "AnomalyDetectionModel", value = org.dmg.pmml.anomaly_detection.AnomalyDetectionModel.class),
@JsonSubTypes.Type(name = "AssociationModel", value = org.dmg.pmml.association.AssociationModel.class),
@JsonSubTypes.Type(name = "BayesianNetworkModel", value = org.dmg.pmml.bayesian_network.BayesianNetworkModel.class),
@JsonSubTypes.Type(name = "BaselineModel", value = org.dmg.pmml.baseline.BaselineModel.class),
@JsonSubTypes.Type(name = "ClusteringModel", value = org.dmg.pmml.clustering.ClusteringModel.class),
@JsonSubTypes.Type(name = "GaussianProcessModel", value = org.dmg.pmml.gaussian_process.GaussianProcessModel.class),
@JsonSubTypes.Type(name = "GeneralRegressionModel", value = org.dmg.pmml.general_regression.GeneralRegressionModel.class),
@JsonSubTypes.Type(name = "MiningModel", value = org.dmg.pmml.mining.MiningModel.class),
@JsonSubTypes.Type(name = "NaiveBayesModel", value = org.dmg.pmml.naive_bayes.NaiveBayesModel.class),
@JsonSubTypes.Type(name = "NearestNeighborModel", value = org.dmg.pmml.nearest_neighbor.NearestNeighborModel.class),
@JsonSubTypes.Type(name = "NeuralNetwork", value = org.dmg.pmml.neural_network.NeuralNetwork.class),
@JsonSubTypes.Type(name = "RegressionModel", value = org.dmg.pmml.regression.RegressionModel.class),
@JsonSubTypes.Type(name = "RuleSetModel", value = org.dmg.pmml.rule_set.RuleSetModel.class),
@JsonSubTypes.Type(name = "SequenceModel", value = org.dmg.pmml.sequence.SequenceModel.class),
@JsonSubTypes.Type(name = "Scorecard", value = org.dmg.pmml.scorecard.Scorecard.class),
@JsonSubTypes.Type(name = "SupportVectorMachineModel", value = org.dmg.pmml.support_vector_machine.SupportVectorMachineModel.class),
@JsonSubTypes.Type(name = "TextModel", value = org.dmg.pmml.text.TextModel.class),
@JsonSubTypes.Type(name = "TimeSeriesModel", value = org.dmg.pmml.time_series.TimeSeriesModel.class),
@JsonSubTypes.Type(name = "TreeModel", value = org.dmg.pmml.tree.TreeModel.class)
})
private Model model;
@XmlElement(name = "VariableWeight", namespace = "http://www.dmg.org/PMML-4_4")
@org.jpmml.model.annotations.Added((org.dmg.pmml.Version.PMML_4_4))
@JsonProperty("VariableWeight")
private VariableWeight variableWeight;
private final static Number DEFAULT_WEIGHT = new NumberAdapter().unmarshal("1");
private final static long serialVersionUID = 67371270L;
public Segment() {
}
@ValueConstructor
public Segment(
@org.jpmml.model.annotations.Property("predicate")
Predicate predicate,
@org.jpmml.model.annotations.Property("model")
Model model) {
this.predicate = predicate;
this.model = model;
}
@Override
public String getId() {
return id;
}
@Override
public Segment setId(
@org.jpmml.model.annotations.Property("id")
String id) {
this.id = id;
return this;
}
public Number getWeight() {
if (weight == null) {
return DEFAULT_WEIGHT;
} else {
return weight;
}
}
public Segment setWeight(
@org.jpmml.model.annotations.Property("weight")
Number weight) {
this.weight = weight;
return this;
}
@Override
public boolean hasExtensions() {
return ((this.extensions!= null)&&(!this.extensions.isEmpty()));
}
@Override
public List getExtensions() {
if (extensions == null) {
extensions = new ArrayList();
}
return this.extensions;
}
@Override
public Segment addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
@Override
public Predicate requirePredicate() {
if (this.predicate == null) {
throw new MissingElementException(this, PMMLElements.SEGMENT_PREDICATE);
}
return this.predicate;
}
@Override
public Predicate getPredicate() {
return predicate;
}
@Override
public Segment setPredicate(
@org.jpmml.model.annotations.Property("predicate")
Predicate predicate) {
this.predicate = predicate;
return this;
}
@Override
public Model requireModel() {
if (this.model == null) {
throw new MissingElementException(this, PMMLElements.SEGMENT_MODEL);
}
return this.model;
}
@Override
public Model getModel() {
return model;
}
@Override
public Segment setModel(
@org.jpmml.model.annotations.Property("model")
Model model) {
this.model = model;
return this;
}
public VariableWeight getVariableWeight() {
return variableWeight;
}
public Segment setVariableWeight(
@org.jpmml.model.annotations.Property("variableWeight")
VariableWeight variableWeight) {
this.variableWeight = variableWeight;
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, getPredicate(), getModel(), getVariableWeight());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
}
