/******************************************************************************* * Copyright 2013 Analog Devices, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * 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 com.analog.lyric.dimple.solvers.sumproduct.pseudolikelihood; import java.util.HashMap; import com.analog.lyric.dimple.model.factors.Factor; import com.analog.lyric.dimple.model.variables.Variable; /* * The factor info is used to build an empirical distribution over the samples * connected to it. */ public class FactorInfo extends NodeInfo { //Given a variable-to-index map, create the indices of interest. public static int [] getVarIndices(Factor f,HashMap<Variable,Integer> var2index ) { final int nVars = f.getSiblingCount(); int [] retval = new int[nVars]; for (int i = 0; i < nVars; i++) { retval[i] = var2index.get(f.getSibling(i)); } return retval; } public FactorInfo(Factor f, HashMap<Variable,Integer> var2index) { super(getVarIndices(f, var2index)); } }