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1 | package de.ugoe.cs.eventbench.markov;
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2 |
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3 | import java.util.LinkedList;
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4 | import java.util.List;
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5 | import java.util.Random;
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6 |
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7 | import de.ugoe.cs.eventbench.data.Event;
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8 | import de.ugoe.cs.eventbench.ppm.TrieBasedModel;
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9 |
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10 | public class HighOrderMarkovModel extends TrieBasedModel {
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11 |
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12 | public HighOrderMarkovModel(int maxOrder, Random r) {
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13 | super(maxOrder, r);
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14 | }
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15 |
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16 | @Override
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17 | protected double getProbability(List<Event<?>> context, Event<?> symbol) {
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18 | double result = 0.0d;
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19 |
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20 | List<Event<?>> contextCopy = new LinkedList<Event<?>>(context);
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21 |
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22 |
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23 | List<Event<?>> followers = trie.getFollowingSymbols(contextCopy);
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24 | int sumCountFollowers = 0; // N(s\sigma')
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25 | for( Event<?> follower : followers ) {
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26 | sumCountFollowers += trie.getCount(contextCopy, follower);
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27 | }
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28 |
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29 | int countSymbol = trie.getCount(contextCopy, symbol);
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30 | if( sumCountFollowers!=0 ) {
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31 | result = ((double) countSymbol / sumCountFollowers);
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32 | }
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33 |
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34 | return result;
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35 | }
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36 |
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37 | }
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