[86] | 1 | // Copyright 2015 Georg-August-Universität Göttingen, Germany |
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[41] | 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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[31] | 15 | package de.ugoe.cs.cpdp.training; |
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| 16 | |
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| 17 | import weka.classifiers.AbstractClassifier; |
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| 18 | import weka.core.Capabilities; |
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| 19 | import weka.core.Instance; |
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| 20 | import weka.core.Instances; |
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| 21 | import weka.core.Utils; |
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| 22 | import weka.core.Capabilities.Capability; |
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| 23 | |
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| 24 | /** |
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| 25 | * Simple classifier that always predicts the same class |
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| 26 | * |
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| 27 | * @author Steffen Herbold |
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| 28 | */ |
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[78] | 29 | public class FixClass extends AbstractClassifier { |
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[31] | 30 | |
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[135] | 31 | /** |
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| 32 | * default serial ID |
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| 33 | */ |
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[41] | 34 | private static final long serialVersionUID = 1L; |
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[31] | 35 | |
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[135] | 36 | /** |
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| 37 | * default prediction: non-defective |
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| 38 | */ |
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[41] | 39 | private double fixedClassValue = 0.0d; |
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[31] | 40 | |
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[41] | 41 | /** |
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| 42 | * Returns default capabilities of the classifier. |
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| 43 | * |
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| 44 | * @return the capabilities of this classifier |
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| 45 | */ |
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| 46 | @Override |
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| 47 | public Capabilities getCapabilities() { |
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| 48 | Capabilities result = super.getCapabilities(); |
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| 49 | result.disableAll(); |
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[31] | 50 | |
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[41] | 51 | // attributes |
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| 52 | result.enable(Capability.NOMINAL_ATTRIBUTES); |
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| 53 | result.enable(Capability.NUMERIC_ATTRIBUTES); |
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| 54 | result.enable(Capability.DATE_ATTRIBUTES); |
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| 55 | result.enable(Capability.STRING_ATTRIBUTES); |
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| 56 | result.enable(Capability.RELATIONAL_ATTRIBUTES); |
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| 57 | result.enable(Capability.MISSING_VALUES); |
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[31] | 58 | |
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[41] | 59 | // class |
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| 60 | result.enable(Capability.NOMINAL_CLASS); |
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| 61 | result.enable(Capability.NUMERIC_CLASS); |
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| 62 | result.enable(Capability.MISSING_CLASS_VALUES); |
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[31] | 63 | |
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[41] | 64 | // instances |
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| 65 | result.setMinimumNumberInstances(0); |
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[31] | 66 | |
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[41] | 67 | return result; |
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| 68 | } |
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[31] | 69 | |
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[135] | 70 | /* |
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| 71 | * (non-Javadoc) |
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| 72 | * |
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| 73 | * @see weka.classifiers.AbstractClassifier#setOptions(java.lang.String[]) |
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| 74 | */ |
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[41] | 75 | @Override |
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| 76 | public void setOptions(String[] options) throws Exception { |
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| 77 | fixedClassValue = Double.parseDouble(Utils.getOption('C', options)); |
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| 78 | } |
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[31] | 79 | |
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[135] | 80 | /* |
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| 81 | * (non-Javadoc) |
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| 82 | * |
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| 83 | * @see weka.classifiers.AbstractClassifier#classifyInstance(weka.core.Instance) |
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| 84 | */ |
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[41] | 85 | @Override |
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| 86 | public double classifyInstance(Instance instance) { |
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| 87 | return fixedClassValue; |
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| 88 | } |
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[31] | 89 | |
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[135] | 90 | /* |
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| 91 | * (non-Javadoc) |
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| 92 | * |
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| 93 | * @see weka.classifiers.Classifier#buildClassifier(weka.core.Instances) |
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| 94 | */ |
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[41] | 95 | @Override |
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| 96 | public void buildClassifier(Instances traindata) throws Exception { |
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| 97 | // do nothing |
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| 98 | } |
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| 99 | } |
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