[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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[30] | 15 | package de.ugoe.cs.cpdp.wekaclassifier;
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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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[135] | 25 | * Simple classifier that always predicts the same class.
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[30] | 26 | *
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| 27 | * @author Steffen Herbold
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| 28 | */
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| 29 | public class FixClass extends AbstractClassifier {
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| 30 |
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[135] | 31 | /**
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| 32 | * default serialization ID
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| 33 | */
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[41] | 34 | private static final long serialVersionUID = 1L;
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[30] | 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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[30] | 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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[30] | 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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[30] | 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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[30] | 63 |
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[41] | 64 | // instances
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| 65 | result.setMinimumNumberInstances(0);
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[30] | 66 |
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[41] | 67 | return result;
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| 68 | }
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[30] | 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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[30] | 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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[30] | 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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[30] | 99 | }
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