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///////////////////////////////////////////////////////////////////////////////
// For information as to what this class does, see the Javadoc, below.       //
// Copyright (C) 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006,       //
// 2007, 2008, 2009, 2010, 2014, 2015, 2022 by Peter Spirtes, Richard        //
// Scheines, Joseph Ramsey, and Clark Glymour.                               //
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// it under the terms of the GNU General Public License as published by      //
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package edu.cmu.tetradapp.model;

import edu.cmu.tetrad.bayes.*;
import edu.cmu.tetrad.data.DiscreteVariable;
import edu.cmu.tetrad.graph.Node;
import edu.cmu.tetrad.util.*;
import edu.cmu.tetradapp.session.SessionModel;

import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serial;
import java.text.NumberFormat;

/**
 * Wraps a Bayes Updater for use in the Tetrad application.
 *
 * @author William Taysom -- 2003/06/14
 * @version $Id: $Id
 */
public class ApproximateUpdaterWrapper implements SessionModel, UpdaterWrapper, Unmarshallable {
    @Serial
    private static final long serialVersionUID = 23L;

    /**
     * @serial Can be null.
     */
    private String name;

    /**
     * @serial Cannot be null.
     */
    private ManipulatingBayesUpdater bayesUpdater;

    /**
     * The params object, so the GUI can remember stuff for logging.
     */
    private Parameters params;

    //==========================CONSTRUCTORS=========================//

    /**
     * 

Constructor for ApproximateUpdaterWrapper.

* * @param wrapper a {@link edu.cmu.tetradapp.model.BayesImWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public ApproximateUpdaterWrapper(BayesImWrapper wrapper, Parameters params) { if (wrapper == null) { throw new NullPointerException(); } BayesIm bayesIm = wrapper.getBayesIm(); setup(bayesIm, params); } /** *

Constructor for ApproximateUpdaterWrapper.

* * @param wrapper a {@link edu.cmu.tetradapp.model.DirichletBayesImWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public ApproximateUpdaterWrapper(DirichletBayesImWrapper wrapper, Parameters params) { if (wrapper == null) { throw new NullPointerException(); } DirichletBayesIm bayesIm = wrapper.getDirichletBayesIm(); setup(bayesIm, params); } /** *

Constructor for ApproximateUpdaterWrapper.

* * @param wrapper a {@link edu.cmu.tetradapp.model.BayesEstimatorWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public ApproximateUpdaterWrapper(BayesEstimatorWrapper wrapper, Parameters params) { if (wrapper == null) { throw new NullPointerException(); } BayesIm bayesIm = wrapper.getEstimatedBayesIm(); setup(bayesIm, params); } /** *

Constructor for ApproximateUpdaterWrapper.

* * @param wrapper a {@link edu.cmu.tetradapp.model.DirichletEstimatorWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public ApproximateUpdaterWrapper(DirichletEstimatorWrapper wrapper, Parameters params) { if (wrapper == null) { throw new NullPointerException(); } DirichletBayesIm bayesIm = wrapper.getEstimatedBayesIm(); setup(bayesIm, params); } /** *

Constructor for ApproximateUpdaterWrapper.

* * @param wrapper a {@link edu.cmu.tetradapp.model.EmBayesEstimatorWrapper} object * @param params a {@link edu.cmu.tetrad.util.Parameters} object */ public ApproximateUpdaterWrapper(EmBayesEstimatorWrapper wrapper, Parameters params) { if (wrapper == null) { throw new NullPointerException(); } BayesIm bayesIm = wrapper.getEstimateBayesIm(); setup(bayesIm, params); } /** * Generates a simple exemplar of this class to test serialization. * * @return a {@link edu.cmu.tetradapp.model.ApproximateUpdaterWrapper} object * @see TetradSerializableUtils */ public static ApproximateUpdaterWrapper serializableInstance() { return new ApproximateUpdaterWrapper( BayesImWrapper.serializableInstance(), new Parameters()); } //============================PUBLIC METHODS=========================// /** *

Getter for the field bayesUpdater.

* * @return a {@link edu.cmu.tetrad.bayes.ManipulatingBayesUpdater} object */ public ManipulatingBayesUpdater getBayesUpdater() { return this.bayesUpdater; } //============================PRIVATE METHODS========================// private void setup(BayesIm bayesIm, Parameters params) { TetradLogger.getInstance().setConfigForClass(this.getClass()); this.params = params; if (params.get("evidence", null) == null || ((Evidence) params.get("evidence", null)).isIncompatibleWith(bayesIm)) { this.bayesUpdater = new ApproximateUpdater(bayesIm); } else { this.bayesUpdater = new ApproximateUpdater(bayesIm, (Evidence) params.get("evidence", null)); } Node node = (Node) getParams().get("variable", null); if (node != null) { NumberFormat nf = NumberFormatUtil.getInstance().getNumberFormat(); TetradLogger.getInstance().log("\nApproximate Updater"); String nodeName = node.getName(); int nodeIndex = bayesIm.getNodeIndex(bayesIm.getNode(nodeName)); double[] priors = getBayesUpdater().calculatePriorMarginals(nodeIndex); double[] marginals = getBayesUpdater().calculateUpdatedMarginals(nodeIndex); TetradLogger.getInstance().log("\nVariable = " + nodeName); TetradLogger.getInstance().log("\nEvidence:"); Evidence evidence = (Evidence) getParams().get("evidence", null); Proposition proposition = evidence.getProposition(); for (int i = 0; i < proposition.getNumVariables(); i++) { Node variable = proposition.getVariableSource().getVariables().get(i); int category = proposition.getSingleCategory(i); if (category != -1) { TetradLogger.getInstance().log("\t" + variable + " = " + category); } } TetradLogger.getInstance().log("\nCat.\tPrior\tMarginal"); for (int i = 0; i < priors.length; i++) { String message = category(evidence, nodeName, i) + "\t" + nf.format(priors[i]) + "\t" + nf.format(marginals[i]); TetradLogger.getInstance().log(message); } } TetradLogger.getInstance().reset(); } private String category(Evidence evidence, String nodeName, int i) { DiscreteVariable variable = discreteVariable(evidence, nodeName); return variable.getCategory(i); } private DiscreteVariable discreteVariable(Evidence evidence, String nodeName) { return evidence.getVariable(nodeName); } /** * Writes the object to the specified ObjectOutputStream. * * @param out The ObjectOutputStream to write the object to. * @throws IOException If an I/O error occurs. */ /** * Writes the object to the specified ObjectOutputStream. * * @param out The ObjectOutputStream to write the object to. * @throws IOException If an I/O error occurs. */ @Serial private void writeObject(ObjectOutputStream out) throws IOException { try { out.defaultWriteObject(); } catch (IOException e) { TetradLogger.getInstance().log("Failed to serialize object: " + getClass().getCanonicalName() + ", " + e.getMessage()); throw e; } } /** * Reads the object from the specified ObjectInputStream. This method is used during deserialization * to restore the state of the object. * * @param in The ObjectInputStream to read the object from. * @throws IOException If an I/O error occurs. * @throws ClassNotFoundException If the class of the serialized object cannot be found. */ @Serial private void readObject(ObjectInputStream in) throws IOException, ClassNotFoundException { try { in.defaultReadObject(); } catch (IOException e) { TetradLogger.getInstance().log("Failed to deserialize object: " + getClass().getCanonicalName() + ", " + e.getMessage()); throw e; } } /** *

Getter for the field name.

* * @return a {@link java.lang.String} object */ public String getName() { return this.name; } /** * {@inheritDoc} */ public void setName(String name) { this.name = name; } /** *

Getter for the field params.

* * @return a {@link edu.cmu.tetrad.util.Parameters} object */ public Parameters getParams() { return this.params; } }




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