| 1 | // Copyright 2015 Georg-August-Universität Göttingen, Germany |
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| 2 | // |
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| 3 | // Licensed under the Apache License, Version 2.0 (the "License"); |
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| 4 | // you may not use this file except in compliance with the License. |
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| 5 | // You may obtain a copy of the License at |
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| 6 | // |
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| 7 | // http://www.apache.org/licenses/LICENSE-2.0 |
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| 8 | // |
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| 9 | // Unless required by applicable law or agreed to in writing, software |
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| 10 | // distributed under the License is distributed on an "AS IS" BASIS, |
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| 11 | // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
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| 12 | // See the License for the specific language governing permissions and |
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| 13 | // limitations under the License. |
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| 14 | |
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| 15 | package de.ugoe.cs.cpdp.training; |
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| 16 | |
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| 17 | import java.util.Arrays; |
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| 18 | import java.util.logging.Level; |
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| 19 | |
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| 20 | import de.ugoe.cs.util.console.Console; |
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| 21 | |
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| 22 | import weka.core.OptionHandler; |
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| 23 | import weka.classifiers.Classifier; |
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| 24 | import weka.classifiers.meta.CVParameterSelection; |
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| 25 | |
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| 26 | /** |
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| 27 | * WekaBaseTraining2 |
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| 28 | * |
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| 29 | * Allows specification of the Weka classifier and its params in the XML experiment configuration. |
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| 30 | * |
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| 31 | * Important conventions of the XML format: Cross Validation params always come last and are |
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| 32 | * prepended with -CVPARAM Example: <trainer name="WekaTraining" |
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| 33 | * param="RandomForestLocal weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5"/> |
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| 34 | */ |
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| 35 | public abstract class WekaBaseTraining implements IWekaCompatibleTrainer { |
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| 36 | |
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| 37 | protected Classifier classifier = null; |
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| 38 | protected String classifierClassName; |
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| 39 | protected String classifierName; |
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| 40 | protected String[] classifierParams; |
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| 41 | |
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| 42 | @Override |
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| 43 | public void setParameter(String parameters) { |
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| 44 | String[] params = parameters.split(" "); |
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| 45 | |
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| 46 | // first part of the params is the classifierName (e.g. SMORBF) |
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| 47 | classifierName = params[0]; |
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| 48 | |
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| 49 | // the following parameters can be copied from weka! |
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| 50 | |
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| 51 | // second param is classifierClassName (e.g. weka.classifiers.functions.SMO) |
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| 52 | classifierClassName = params[1]; |
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| 53 | |
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| 54 | // rest are params to the specified classifier (e.g. -K |
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| 55 | // weka.classifiers.functions.supportVector.RBFKernel) |
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| 56 | classifierParams = Arrays.copyOfRange(params, 2, params.length); |
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| 57 | |
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| 58 | //classifier = setupClassifier(); |
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| 59 | } |
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| 60 | |
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| 61 | @Override |
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| 62 | public Classifier getClassifier() { |
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| 63 | return classifier; |
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| 64 | } |
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| 65 | |
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| 66 | protected Classifier setupClassifier() { |
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| 67 | Classifier cl = null; |
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| 68 | try { |
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| 69 | @SuppressWarnings("rawtypes") |
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| 70 | Class c = Class.forName(classifierClassName); |
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| 71 | Classifier obj = (Classifier) c.newInstance(); |
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| 72 | |
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| 73 | // Filter out -CVPARAM, these are special because they do not belong to the Weka |
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| 74 | // classifier class as parameters |
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| 75 | String[] param = Arrays.copyOf(classifierParams, classifierParams.length); |
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| 76 | String[] cvparam = { }; |
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| 77 | boolean cv = false; |
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| 78 | for (int i = 0; i < classifierParams.length; i++) { |
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| 79 | if (classifierParams[i].equals("-CVPARAM")) { |
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| 80 | // rest of array are cvparam |
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| 81 | cvparam = Arrays.copyOfRange(classifierParams, i + 1, classifierParams.length); |
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| 82 | |
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| 83 | // before this we have normal params |
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| 84 | param = Arrays.copyOfRange(classifierParams, 0, i); |
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| 85 | |
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| 86 | cv = true; |
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| 87 | break; |
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| 88 | } |
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| 89 | } |
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| 90 | |
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| 91 | // set classifier params |
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| 92 | ((OptionHandler) obj).setOptions(param); |
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| 93 | cl = obj; |
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| 94 | |
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| 95 | // we have cross val params |
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| 96 | // cant check on cvparam.length here, it may not be initialized |
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| 97 | if (cv) { |
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| 98 | final CVParameterSelection ps = new CVParameterSelection(); |
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| 99 | ps.setClassifier(obj); |
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| 100 | ps.setNumFolds(5); |
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| 101 | // ps.addCVParameter("I 5 25 5"); |
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| 102 | for (int i = 1; i < cvparam.length / 4; i++) { |
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| 103 | ps.addCVParameter(Arrays.asList(Arrays.copyOfRange(cvparam, 0, 4 * i)) |
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| 104 | .toString().replaceAll(", ", " ").replaceAll("^\\[|\\]$", "")); |
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| 105 | } |
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| 106 | |
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| 107 | cl = ps; |
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| 108 | } |
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| 109 | |
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| 110 | } |
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| 111 | catch (ClassNotFoundException e) { |
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| 112 | Console.traceln(Level.WARNING, String.format("class not found: %s", e.toString())); |
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| 113 | e.printStackTrace(); |
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| 114 | } |
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| 115 | catch (InstantiationException e) { |
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| 116 | Console.traceln(Level.WARNING, |
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| 117 | String.format("Instantiation Exception: %s", e.toString())); |
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| 118 | e.printStackTrace(); |
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| 119 | } |
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| 120 | catch (IllegalAccessException e) { |
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| 121 | Console.traceln(Level.WARNING, |
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| 122 | String.format("Illegal Access Exception: %s", e.toString())); |
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| 123 | e.printStackTrace(); |
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| 124 | } |
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| 125 | catch (Exception e) { |
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| 126 | Console.traceln(Level.WARNING, String.format("Exception: %s", e.toString())); |
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| 127 | e.printStackTrace(); |
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| 128 | } |
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| 129 | |
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| 130 | return cl; |
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| 131 | } |
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| 132 | |
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| 133 | @Override |
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| 134 | public String getName() { |
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| 135 | return classifierName; |
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| 136 | } |
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| 137 | |
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| 138 | } |
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