| /* |
| * Licensed to the Apache Software Foundation (ASF) under one |
| * or more contributor license agreements. See the NOTICE file |
| * distributed with this work for additional information |
| * regarding copyright ownership. The ASF licenses this file |
| * to you 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 opennlp.addons.mahout; |
| |
| import java.io.IOException; |
| import java.util.Map; |
| |
| import opennlp.tools.ml.model.DataIndexer; |
| import opennlp.tools.ml.model.MaxentModel; |
| |
| import org.apache.mahout.classifier.sgd.AdaptiveLogisticRegression; |
| import org.apache.mahout.classifier.sgd.L1; |
| |
| public class AdaptiveLogisticRegressionTrainer extends AbstractOnlineLearnerTrainer { |
| |
| public AdaptiveLogisticRegressionTrainer(Map<String, String> trainParams, |
| Map<String, String> reportMap) { |
| } |
| |
| @Override |
| public MaxentModel doTrain(DataIndexer indexer) throws IOException { |
| |
| // TODO: Lets use the predMap here as well for encoding |
| int numberOfOutcomes = indexer.getOutcomeLabels().length; |
| int numberOfFeatures = indexer.getPredLabels().length; |
| |
| AdaptiveLogisticRegression pa = new AdaptiveLogisticRegression(numberOfOutcomes, |
| numberOfFeatures, new L1()); |
| |
| // TODO: Make these parameters configurable ... |
| // what are good values ?! |
| pa.setInterval(800); |
| pa.setAveragingWindow(500); |
| |
| for (int k = 0; k < iterations; k++) { |
| trainOnlineLearner(indexer, pa); |
| |
| // What should be reported at the end of every iteration ?! |
| System.out.println("Iteration " + (k + 1)); |
| } |
| |
| pa.close(); |
| |
| return new VectorClassifierModel(pa.getBest().getPayload().getLearner(), |
| indexer.getOutcomeLabels(), createPrepMap(indexer)); |
| } |
| |
| @Override |
| public boolean isSortAndMerge() { |
| return true; |
| } |
| } |