org.dmg.pmml.time_series.StateSpaceModel Maven / Gradle / Ivy
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JPMML GWT compatible class model
package org.dmg.pmml.time_series;
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 jakarta.xml.bind.annotation.XmlAttribute;
import jakarta.xml.bind.annotation.XmlElement;
import jakarta.xml.bind.annotation.XmlRootElement;
import jakarta.xml.bind.annotation.XmlSchemaType;
import jakarta.xml.bind.annotation.XmlType;
import jakarta.xml.bind.annotation.adapters.XmlJavaTypeAdapter;
import org.dmg.pmml.Extension;
import org.dmg.pmml.HasExtensions;
import org.dmg.pmml.PMMLObject;
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.Added;
import org.jpmml.model.annotations.Property;
@XmlRootElement(name = "StateSpaceModel", namespace = "http://www.dmg.org/PMML-4_4")
@XmlType(name = "", propOrder = {
"extensions",
"stateVector",
"transitionMatrix",
"measurementMatrix",
"interceptVector",
"predictedStateCovarianceMatrix",
"selectedStateCovarianceMatrix",
"observationVarianceMatrix",
"psiVector",
"dynamicRegressors"
})
@JsonRootName("StateSpaceModel")
@JsonPropertyOrder({
"variance",
"period",
"intercept",
"extensions",
"stateVector",
"transitionMatrix",
"measurementMatrix",
"interceptVector",
"predictedStateCovarianceMatrix",
"selectedStateCovarianceMatrix",
"observationVarianceMatrix",
"psiVector",
"dynamicRegressors"
})
@Added((org.dmg.pmml.Version.PMML_4_4))
public class StateSpaceModel
extends TimeSeriesAlgorithm
implements HasExtensions
{
@XmlAttribute(name = "variance")
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@JsonProperty("variance")
private Number variance;
@XmlAttribute(name = "period")
@XmlJavaTypeAdapter(ObjectAdapter.class)
@XmlSchemaType(name = "anySimpleType")
@JsonProperty("period")
private Object period;
@XmlAttribute(name = "intercept")
@XmlJavaTypeAdapter(RealNumberAdapter.class)
@JsonProperty("intercept")
private Number intercept;
@XmlElement(name = "Extension", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("Extension")
private List extensions;
@XmlElement(name = "StateVector", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("StateVector")
private StateVector stateVector;
@XmlElement(name = "TransitionMatrix", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("TransitionMatrix")
private TransitionMatrix transitionMatrix;
@XmlElement(name = "MeasurementMatrix", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("MeasurementMatrix")
private MeasurementMatrix measurementMatrix;
@XmlElement(name = "InterceptVector", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("InterceptVector")
private InterceptVector interceptVector;
@XmlElement(name = "PredictedStateCovarianceMatrix", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("PredictedStateCovarianceMatrix")
private PredictedStateCovarianceMatrix predictedStateCovarianceMatrix;
@XmlElement(name = "SelectedStateCovarianceMatrix", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("SelectedStateCovarianceMatrix")
private SelectedStateCovarianceMatrix selectedStateCovarianceMatrix;
@XmlElement(name = "ObservationVarianceMatrix", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("ObservationVarianceMatrix")
private ObservationVarianceMatrix observationVarianceMatrix;
@XmlElement(name = "PsiVector", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("PsiVector")
private PsiVector psiVector;
@XmlElement(name = "DynamicRegressor", namespace = "http://www.dmg.org/PMML-4_4")
@JsonProperty("DynamicRegressor")
private List dynamicRegressors;
private final static Object DEFAULT_PERIOD = new ObjectAdapter().unmarshal("none");
private final static Number DEFAULT_INTERCEPT = new RealNumberAdapter().unmarshal("0");
private final static long serialVersionUID = 67371270L;
public Number getVariance() {
return variance;
}
public StateSpaceModel setVariance(
@Property("variance")
Number variance) {
this.variance = variance;
return this;
}
public Object getPeriod() {
if (period == null) {
return DEFAULT_PERIOD;
} else {
return period;
}
}
public StateSpaceModel setPeriod(
@Property("period")
Object period) {
this.period = period;
return this;
}
public Number getIntercept() {
if (intercept == null) {
return DEFAULT_INTERCEPT;
} else {
return intercept;
}
}
public StateSpaceModel setIntercept(
@Property("intercept")
Number intercept) {
this.intercept = intercept;
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 StateSpaceModel addExtensions(Extension... extensions) {
getExtensions().addAll(Arrays.asList(extensions));
return this;
}
public StateVector getStateVector() {
return stateVector;
}
public StateSpaceModel setStateVector(
@Property("stateVector")
StateVector stateVector) {
this.stateVector = stateVector;
return this;
}
public TransitionMatrix getTransitionMatrix() {
return transitionMatrix;
}
public StateSpaceModel setTransitionMatrix(
@Property("transitionMatrix")
TransitionMatrix transitionMatrix) {
this.transitionMatrix = transitionMatrix;
return this;
}
public MeasurementMatrix getMeasurementMatrix() {
return measurementMatrix;
}
public StateSpaceModel setMeasurementMatrix(
@Property("measurementMatrix")
MeasurementMatrix measurementMatrix) {
this.measurementMatrix = measurementMatrix;
return this;
}
public InterceptVector getInterceptVector() {
return interceptVector;
}
public StateSpaceModel setInterceptVector(
@Property("interceptVector")
InterceptVector interceptVector) {
this.interceptVector = interceptVector;
return this;
}
public PredictedStateCovarianceMatrix getPredictedStateCovarianceMatrix() {
return predictedStateCovarianceMatrix;
}
public StateSpaceModel setPredictedStateCovarianceMatrix(
@Property("predictedStateCovarianceMatrix")
PredictedStateCovarianceMatrix predictedStateCovarianceMatrix) {
this.predictedStateCovarianceMatrix = predictedStateCovarianceMatrix;
return this;
}
public SelectedStateCovarianceMatrix getSelectedStateCovarianceMatrix() {
return selectedStateCovarianceMatrix;
}
public StateSpaceModel setSelectedStateCovarianceMatrix(
@Property("selectedStateCovarianceMatrix")
SelectedStateCovarianceMatrix selectedStateCovarianceMatrix) {
this.selectedStateCovarianceMatrix = selectedStateCovarianceMatrix;
return this;
}
public ObservationVarianceMatrix getObservationVarianceMatrix() {
return observationVarianceMatrix;
}
public StateSpaceModel setObservationVarianceMatrix(
@Property("observationVarianceMatrix")
ObservationVarianceMatrix observationVarianceMatrix) {
this.observationVarianceMatrix = observationVarianceMatrix;
return this;
}
public PsiVector getPsiVector() {
return psiVector;
}
public StateSpaceModel setPsiVector(
@Property("psiVector")
PsiVector psiVector) {
this.psiVector = psiVector;
return this;
}
public boolean hasDynamicRegressors() {
return ((this.dynamicRegressors!= null)&&(!this.dynamicRegressors.isEmpty()));
}
public List getDynamicRegressors() {
if (dynamicRegressors == null) {
dynamicRegressors = new ArrayList();
}
return this.dynamicRegressors;
}
public StateSpaceModel addDynamicRegressors(DynamicRegressor... dynamicRegressors) {
getDynamicRegressors().addAll(Arrays.asList(dynamicRegressors));
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, getStateVector(), getTransitionMatrix(), getMeasurementMatrix(), getInterceptVector(), getPredictedStateCovarianceMatrix(), getSelectedStateCovarianceMatrix(), getObservationVarianceMatrix(), getPsiVector());
}
if ((status == VisitorAction.CONTINUE)&&hasDynamicRegressors()) {
status = PMMLObject.traverse(visitor, getDynamicRegressors());
}
visitor.popParent();
}
if (status == VisitorAction.TERMINATE) {
return VisitorAction.TERMINATE;
}
return VisitorAction.CONTINUE;
}
}