/*******************************************************************************
* Copyright (c) 2012 Michael Kutschke. All rights reserved. This program and the accompanying materials are made
* available under the terms of the Eclipse Public License v1.0 which accompanies this distribution, and is available at
* http://www.eclipse.org/legal/epl-v10.html
*
* Contributors: Michael Kutschke - initial API and implementation
******************************************************************************/
package org.eclipse.recommenders.jayes.transformation;
import org.eclipse.recommenders.jayes.BayesNet;
import org.eclipse.recommenders.jayes.BayesNode;
import org.eclipse.recommenders.jayes.transformation.util.DecompositionFailedException;
/**
* Interface for decomposition algorithms. The basic idea is to decompose a probability distribution p(x,y) by
* introducing a new variable z such that <br/>
* \f$ p(x,y) = \sum_z p(x,z)p(z,y) \f$ <br/>
* This can be done through matrix decomposition.
*/
public interface IDecompositionStrategy {
/**
* decomposes a single conditional probability distribution.
*
* @param node
* node contained in net
* @throws DecompositionFailedException
* when the decomposition failed. In this case, the strategy should not alter the network
*/
void decompose(BayesNet net, BayesNode node) throws DecompositionFailedException;
}