// Copyright 2012 Georg-August-Universität Göttingen, Germany // // 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 de.ugoe.cs.autoquest.usageprofiles; import java.util.Collection; import java.util.LinkedList; import java.util.List; import java.util.Random; import de.ugoe.cs.autoquest.eventcore.Event; /** *

* Implements high-order Markov models. *

* * @author Steffen Herbold * @version 1.0 */ public class HighOrderMarkovModel extends TrieBasedModel { /** *

* Id for object serialization. *

*/ private static final long serialVersionUID = 1L; /** *

* Constructor. Creates a new HighOrderMarkovModel with a defined Markov order. *

* * @param maxOrder * Markov order of the model * @param r * random number generator used by probabilistic methods of the class */ public HighOrderMarkovModel(int maxOrder, Random r) { super(maxOrder, r); } /** *

* Calculates the probability of the next Event being symbol based on the order of the Markov * model. The order is defined in the constructor {@link #HighOrderMarkovModel(int, Random)}. *

* * @see de.ugoe.cs.autoquest.usageprofiles.IStochasticProcess#getProbability(java.util.List, * de.ugoe.cs.autoquest.eventcore.Event) */ @Override public double getProbability(List context, Event symbol) { if (context == null) { throw new IllegalArgumentException("context must not be null"); } if (symbol == null) { throw new IllegalArgumentException("symbol must not be null"); } double result = 0.0d; List contextCopy; if (context.size() >= trieOrder) { contextCopy = new LinkedList(context.subList(context.size() - trieOrder + 1, context.size())); } else { contextCopy = new LinkedList(context); } Collection followers = trie.getFollowingSymbols(contextCopy); int sumCountFollowers = 0; // N(s\sigma') for (Event follower : followers) { sumCountFollowers += trie.getCount(contextCopy, follower); } int countSymbol = trie.getCount(contextCopy, symbol); if (sumCountFollowers != 0) { result = ((double) countSymbol / sumCountFollowers); } return result; } }