edu.cmu.tetradapp.model.DirichletEstimatorWrapper Maven / Gradle / Ivy
///////////////////////////////////////////////////////////////////////////////
// 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.bayes.DirichletBayesIm;
import edu.cmu.tetrad.bayes.DirichletEstimator;
import edu.cmu.tetrad.data.DataSet;
import edu.cmu.tetrad.data.DataUtils;
import edu.cmu.tetrad.graph.Graph;
import edu.cmu.tetrad.session.SessionModel;
import edu.cmu.tetrad.util.Parameters;
import edu.cmu.tetrad.util.TetradLogger;
import edu.cmu.tetrad.util.TetradSerializableUtils;
import java.io.IOException;
import java.io.ObjectInputStream;
/**
* Wraps a DirichletEstimator.
*
* @author josephramsey
*/
public class DirichletEstimatorWrapper implements SessionModel {
private static final long serialVersionUID = 23L;
/**
* @serial Cannot be null.
*/
private final DirichletBayesIm dirichletBayesIm;
/**
* @serial Can be null.
*/
private String name;
//============================CONSTRUCTORS============================//
public DirichletEstimatorWrapper(DataWrapper dataWrapper,
DirichletBayesImWrapper dirichletPriorWrapper) {
if (dataWrapper == null) {
throw new NullPointerException();
}
if (dirichletPriorWrapper == null) {
throw new NullPointerException();
}
DataSet dataSet
= (DataSet) dataWrapper.getSelectedDataModel();
if (DataUtils.containsMissingValue(dataSet)) {
throw new IllegalArgumentException("Please remove or impute missing values.");
}
DirichletBayesIm dirichletBayesIm
= dirichletPriorWrapper.getDirichletBayesIm();
try {
this.dirichletBayesIm
= DirichletEstimator.estimate(dirichletBayesIm, dataSet);
} catch (IllegalArgumentException e) {
throw new RuntimeException(
"Please fully specify the Dirichlet prior first.");
}
log(dirichletBayesIm);
}
public DirichletEstimatorWrapper(DataWrapper dataWrapper,
BayesPmWrapper bayesPmWrapper, Parameters params) {
if (dataWrapper == null) {
throw new NullPointerException();
}
if (bayesPmWrapper == null) {
throw new NullPointerException();
}
if (params == null) {
throw new NullPointerException();
}
DataSet dataSet
= (DataSet) dataWrapper.getSelectedDataModel();
if (DataUtils.containsMissingValue(dataSet)) {
throw new IllegalArgumentException("Please remove or impute missing values.");
}
DirichletBayesIm dirichletBayesIm
= DirichletBayesIm.symmetricDirichletIm(
bayesPmWrapper.getBayesPm(),
params.getDouble("symmetricAlpha", 1.0));
if (DataUtils.containsMissingValue(dataSet)) {
throw new IllegalArgumentException("Please remove or impute missing values.");
}
try {
this.dirichletBayesIm
= DirichletEstimator.estimate(dirichletBayesIm, dataSet);
} catch (IllegalArgumentException e) {
throw new RuntimeException(
"Please fully specify the Dirichlet prior first.");
}
log(dirichletBayesIm);
}
/**
* Generates a simple exemplar of this class to test serialization.
*
* @see TetradSerializableUtils
*/
public static PcRunner serializableInstance() {
return PcRunner.serializableInstance();
}
//===============================PUBLIC METHODS=======================//
public DirichletBayesIm getEstimatedBayesIm() {
return this.dirichletBayesIm;
}
/**
* Adds semantic checks to the default deserialization method. This method must have the standard signature for a
* readObject method, and the body of the method must begin with "s.defaultReadObject();". Other than that, any
* semantic checks can be specified and do not need to stay the same from version to version. A readObject method of
* this form may be added to any class, even if Tetrad sessions were previously saved out using a version of the
* class that didn't include it. (That's what the "s.defaultReadObject();" is for. See J. Bloch, Effective Java, for
* help.
*
* LogUtils.getInstance().finer("Estimated Bayes IM:");
*/
private void readObject(ObjectInputStream s)
throws IOException, ClassNotFoundException {
s.defaultReadObject();
if (this.dirichletBayesIm == null) {
throw new NullPointerException();
}
}
public Graph getGraph() {
return this.dirichletBayesIm.getBayesPm().getDag();
}
public String getName() {
return this.name;
}
public void setName(String name) {
this.name = name;
}
private void log(DirichletBayesIm im) {
TetradLogger.getInstance().log("info", "Estimated Dirichlet Bayes IM");
TetradLogger.getInstance().log("im", "" + im);
TetradLogger.getInstance().reset();
}
}