// Copyright 2015 Georg-August-Universität Göttingen, Germany // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package de.ugoe.cs.cpdp.training; import java.util.logging.Level; import de.ugoe.cs.cpdp.wekaclassifier.ITestAwareClassifier; import de.ugoe.cs.util.console.Console; import weka.classifiers.rules.ZeroR; import weka.core.Instances; /** *

* Trainer that allows classifiers access to the training data. Classifiers need to make sure that * they do not use the classification. *

* * @author Steffen Herbold */ public class WekaTestAwareTraining extends WekaBaseTraining implements ITestAwareTrainingStrategy { /* * (non-Javadoc) * * @see de.ugoe.cs.cpdp.training.ITestAwareTrainingStrategy#apply(weka.core.Instances, * weka.core.Instances) */ @Override public void apply(Instances testdata, Instances traindata) { classifier = setupClassifier(); if (!(classifier instanceof ITestAwareClassifier)) { throw new RuntimeException("classifier must implement the ITestAwareClassifier interface in order to be used as TestAwareTrainingStrategy"); } ((ITestAwareClassifier) classifier).setTestdata(testdata); try { if (classifier == null) { Console.traceln(Level.WARNING, String.format("classifier null!")); } classifier.buildClassifier(traindata); } catch (Exception e) { if (e.getMessage().contains("Not enough training instances with class labels")) { Console.traceln(Level.SEVERE, "failure due to lack of instances: " + e.getMessage()); Console.traceln(Level.SEVERE, "training ZeroR classifier instead"); classifier = new ZeroR(); try { classifier.buildClassifier(traindata); } catch (Exception e2) { throw new RuntimeException(e2); } } else { throw new RuntimeException(e); } } } }