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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. //
// //
// 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. //
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// This program is distributed in the hope that it will be useful, //
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// 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 //
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// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA //
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package edu.cmu.tetrad.bayes;
import edu.cmu.tetrad.graph.Graph;
/**
* Interface for a Bayes updating algorithm that's capable of doing manipulation. In general, manipulating a variable X
* will eliminate edges into X, so the updating operation on the manipulated model will produce different results.
*
* @author josephramsey
*/
public interface ManipulatingBayesUpdater extends BayesUpdater {
long serialVersionUID = 23L;
/**
* Returns the manipulated Bayes IM. This is the Bayes IM in which the variables in the manipulation have been
* removed from the graph.
*
* @return the Bayes instantiated model after manipulations have been applied.
*/
BayesIm getManipulatedBayesIm();
/**
* Returns the manipulated graph. This is the graph in which the variables in the manipulation have been removed
* from the graph.
*
* @return the graph for the manipulated BayesIm.
*/
Graph getManipulatedGraph();
/**
* Returns the manipulation that was used to manipulate the Bayes IM.
*
* @return a defensive copy of the evidence.
*/
Evidence getEvidence();
/**
* Sets new evidence for the updater. Once this is called, old updating results should not longer be available.
*
* @param evidence the new evidence.
*/
void setEvidence(Evidence evidence);
/**
* Returns the updated Bayes IM. This is the Bayes IM in which all probabilities of variables conditional on their
* parents have been updated.
* @return the updated Bayes IM--that is, the Bayes IM in which all probabilities of variables conditional on their
* parents have been updated.
*/
BayesIm getUpdatedBayesIm();
/**
* Returns the updated graph. This is the graph in which all probabilities of variables conditional on their
* parents have been updated.
* @return P(variable = category | evidence) where evidence is getEvidence().
*/
double getMarginal(int variable, int category);
}
