/*
* Copyright 2015 Red Hat, Inc. and/or its affiliates.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.drools.beliefs.bayes;
public class Marginalizer {
public Marginalizer(BayesVariable[] srcVars, double[] srcPotentials, BayesVariable var,
double[] varDistribution) {
BayesVariable[] trgVars = new BayesVariable[] { var };
int[] trgVarPos = PotentialMultiplier.createSubsetVarPos(srcVars, trgVars);
int trgVarNumberOfStates = PotentialMultiplier.createNumberOfStates(trgVars);
int[] trgVarMultipliers = PotentialMultiplier.createIndexMultipliers(trgVars, trgVarNumberOfStates);
BayesProjection p = new BayesProjection(srcVars, srcPotentials, trgVarPos, trgVarMultipliers, varDistribution);
p.project();
}
}