All Downloads are FREE. Search and download functionalities are using the official Maven repository.

edu.cmu.tetradapp.model.GeneralizedSemEstimatorWrapper Maven / Gradle / Ivy

The newest version!
///////////////////////////////////////////////////////////////////////////////
// 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.                               //
//                                                                           //
// This program is free software; you can redistribute it and/or modify      //
// it under the terms of the GNU General Public License as published by      //
// the Free Software Foundation; either version 2 of the License, or         //
// (at your option) any later version.                                       //
//                                                                           //
// This program is distributed in the hope that it will be useful,           //
// but WITHOUT ANY WARRANTY; without even the implied warranty of            //
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the             //
// GNU General Public License for more details.                              //
//                                                                           //
// You should have received a copy of the GNU General Public License         //
// along with this program; if not, write to the Free Software               //
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA //
///////////////////////////////////////////////////////////////////////////////

package edu.cmu.tetradapp.model;

import edu.cmu.tetrad.data.DataSet;
import edu.cmu.tetrad.graph.Graph;
import edu.cmu.tetrad.graph.GraphNode;
import edu.cmu.tetrad.graph.Node;
import edu.cmu.tetrad.sem.GeneralizedSemEstimator;
import edu.cmu.tetrad.sem.GeneralizedSemIm;
import edu.cmu.tetrad.sem.GeneralizedSemPm;
import edu.cmu.tetrad.util.Parameters;
import edu.cmu.tetrad.util.TetradLogger;
import edu.cmu.tetradapp.session.SessionModel;

import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serial;
import java.util.List;


/**
 * Wraps a Bayes Pm for use in the Tetrad application.
 *
 * @author josephramsey
 * @version $Id: $Id
 */
public class GeneralizedSemEstimatorWrapper implements SessionModel, GraphSource {
    @Serial
    private static final long serialVersionUID = 23L;

    /**
     * The data model.
     */
    private final DataSet data;

    /**
     * The name of the model.
     */
    private String name;

    /**
     * The wrapped SemPm.
     */
    private GeneralizedSemPm semPm;
    /**
     * True just in case errors should be shown in the interface.
     */
    private boolean showErrors;

    /**
     * The estimated SEM IM.
     */
    private GeneralizedSemIm estIm;

    /**
     * The report.
     */
    private String report = "";

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

    public GeneralizedSemEstimatorWrapper(GeneralizedSemPmWrapper semPm, Simulation simulation, Parameters parameters) {
        this(semPm, new DataWrapper(simulation, parameters));
    }

    /**
     * 

Constructor for GeneralizedSemEstimatorWrapper.

* * @param semPm a {@link edu.cmu.tetradapp.model.GeneralizedSemPmWrapper} object * @param data a {@link edu.cmu.tetradapp.model.DataWrapper} object */ public GeneralizedSemEstimatorWrapper(GeneralizedSemPmWrapper semPm, DataWrapper data) { if (semPm == null) { throw new NullPointerException("SEM PM must not be null."); } this.semPm = semPm.getSemPm(); this.data = (DataSet) data.getSelectedDataModel(); execute(); } /** *

serializableInstance.

* * @return a {@link edu.cmu.tetrad.graph.Node} object */ public static Node serializableInstance() { return new GraphNode("X"); } /** *

execute.

*/ public void execute() { GeneralizedSemEstimator estimator = new GeneralizedSemEstimator(); this.estIm = estimator.estimate(this.semPm, this.data); this.report = estimator.getReport(); } //============================PUBLIC METHODS=========================// /** *

getSemIm.

* * @return a {@link edu.cmu.tetrad.sem.GeneralizedSemIm} object */ public GeneralizedSemIm getSemIm() { return this.estIm; } /** * 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; } } /** *

getGraph.

* * @return a {@link edu.cmu.tetrad.graph.Graph} object */ public Graph getGraph() { return this.semPm.getGraph(); } /** *

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; } /** *

isShowErrors.

* * @return a boolean */ public boolean isShowErrors() { return this.showErrors; } /** *

Setter for the field showErrors.

* * @param showErrors a boolean */ public void setShowErrors(boolean showErrors) { this.showErrors = showErrors; } //======================= Private methods ====================// private void log(GeneralizedSemIm im) { TetradLogger.getInstance().log("Generalized SEM IM"); String message = im.toString(); TetradLogger.getInstance().log(message); } /** *

getSourceGraph.

* * @return a {@link edu.cmu.tetrad.graph.Graph} object */ public Graph getSourceGraph() { return getGraph(); } /** *

getResultGraph.

* * @return a {@link edu.cmu.tetrad.graph.Graph} object */ public Graph getResultGraph() { return getGraph(); } /** *

getVariableNames.

* * @return a {@link java.util.List} object */ public List getVariableNames() { return getGraph().getNodeNames(); } /** *

getVariables.

* * @return a {@link java.util.List} object */ public List getVariables() { return getGraph().getNodes(); } /** * The wrapped SemPm. * * @return a {@link edu.cmu.tetrad.sem.GeneralizedSemPm} object */ public GeneralizedSemPm getSemPm() { return this.semPm; } /** *

Setter for the field semPm.

* * @param semPm a {@link edu.cmu.tetrad.sem.GeneralizedSemPm} object */ public void setSemPm(GeneralizedSemPm semPm) { this.semPm = semPm; } /** *

Getter for the field report.

* * @return a {@link java.lang.String} object */ public String getReport() { return this.report; } }




© 2015 - 2025 Weber Informatics LLC | Privacy Policy