1 | /* |
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2 | * This program is free software; you can redistribute it and/or modify |
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3 | * it under the terms of the GNU General Public License as published by |
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4 | * the Free Software Foundation; either version 2 of the License, or |
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5 | * (at your option) any later version. |
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6 | * |
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7 | * This program is distributed in the hope that it will be useful, |
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8 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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9 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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10 | * GNU General Public License for more details. |
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11 | * |
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12 | * You should have received a copy of the GNU General Public License |
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13 | * along with this program; if not, write to the Free Software |
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14 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. |
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15 | */ |
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16 | |
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17 | /* |
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18 | * IterativeClassifier.java |
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19 | * Copyright (C) 2001 University of Waikato, Hamilton, New Zealand |
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20 | * |
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21 | */ |
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22 | |
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23 | package weka.classifiers; |
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24 | |
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25 | import weka.core.*; |
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26 | |
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27 | /** |
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28 | * Interface for classifiers that can induce models of growing |
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29 | * complexity one step at a time. |
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30 | * |
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31 | * @author Gabi Schmidberger (gabi@cs.waikato.ac.nz) |
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32 | * @author Bernhard Pfahringer (bernhard@cs.waikato.ac.nz) |
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33 | * @version $Revision: 6041 $ |
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34 | */ |
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35 | |
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36 | public interface IterativeClassifier { |
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37 | |
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38 | /** |
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39 | * Inits an iterative classifier. |
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40 | * |
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41 | * @param instances the instances to be used in induction |
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42 | * @exception Exception if the model cannot be initialized |
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43 | */ |
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44 | void initClassifier(Instances instances) throws Exception; |
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45 | |
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46 | /** |
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47 | * Performs one iteration. |
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48 | * |
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49 | * @param iteration the index of the current iteration (0-based) |
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50 | * @exception Exception if this iteration fails |
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51 | */ |
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52 | void next(int iteration) throws Exception; |
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53 | |
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54 | /** |
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55 | * Signal end of iterating, useful for any house-keeping/cleanup |
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56 | * |
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57 | * @exception Exception if cleanup fails |
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58 | */ |
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59 | void done() throws Exception; |
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60 | |
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61 | /** |
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62 | * Performs a deep copy of the classifier, and a reference copy |
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63 | * of the training instances (or a deep copy if required). |
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64 | * |
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65 | * @return a clone of the classifier |
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66 | */ |
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67 | Object clone() throws CloneNotSupportedException; |
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68 | |
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69 | } |
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