| /* |
| * 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. |
| */ |
| |
| import java.io.File; |
| import java.io.FileReader; |
| |
| import opennlp.maxent.BasicContextGenerator; |
| import opennlp.maxent.ContextGenerator; |
| import opennlp.maxent.DataStream; |
| import opennlp.maxent.PlainTextByLineDataStream; |
| import opennlp.model.GenericModelReader; |
| import opennlp.model.MaxentModel; |
| import opennlp.model.RealValueFileEventStream; |
| |
| /** |
| * Test the model on some input. |
| */ |
| public class Predict { |
| MaxentModel _model; |
| ContextGenerator _cg = new BasicContextGenerator(); |
| |
| public Predict (MaxentModel m) { |
| _model = m; |
| } |
| |
| private void eval (String predicates) { |
| eval(predicates,false); |
| } |
| |
| private void eval (String predicates, boolean real) { |
| String[] contexts = predicates.split(" "); |
| double[] ocs; |
| if (!real) { |
| ocs = _model.eval(contexts); |
| } |
| else { |
| float[] values = RealValueFileEventStream.parseContexts(contexts); |
| ocs = _model.eval(contexts,values); |
| } |
| System.out.println("For context: " + predicates+ "\n" + _model.getAllOutcomes(ocs) + "\n"); |
| |
| } |
| |
| private static void usage() { |
| |
| } |
| |
| /** |
| * Main method. Call as follows: |
| * <p> |
| * java Predict dataFile (modelFile) |
| */ |
| public static void main(String[] args) { |
| String dataFileName, modelFileName; |
| boolean real = false; |
| String type = "maxent"; |
| int ai = 0; |
| if (args.length > 0) { |
| while (args[ai].startsWith("-")) { |
| if (args[ai].equals("-real")) { |
| real = true; |
| } |
| else if (args[ai].equals("-perceptron")) { |
| type = "perceptron"; |
| } |
| else { |
| usage(); |
| } |
| ai++; |
| } |
| dataFileName = args[ai++]; |
| if (args.length > ai) { |
| modelFileName = args[ai++]; |
| } |
| else { |
| modelFileName = dataFileName.substring(0,dataFileName.lastIndexOf('.')) + "Model.txt"; |
| } |
| } |
| else { |
| dataFileName = ""; |
| modelFileName = "weatherModel.txt"; |
| } |
| Predict predictor = null; |
| try { |
| MaxentModel m = new GenericModelReader(new File(modelFileName)).getModel(); |
| predictor = new Predict(m); |
| } catch (Exception e) { |
| e.printStackTrace(); |
| System.exit(0); |
| } |
| |
| if (dataFileName.equals("")) { |
| predictor.eval("Rainy Happy Humid"); |
| predictor.eval("Rainy"); |
| predictor.eval("Blarmey"); |
| } |
| else { |
| try { |
| DataStream ds = |
| new PlainTextByLineDataStream( |
| new FileReader(new File(dataFileName))); |
| |
| while (ds.hasNext()) { |
| String s = (String)ds.nextToken(); |
| predictor.eval(s.substring(0, s.lastIndexOf(' ')),real); |
| } |
| return; |
| } |
| catch (Exception e) { |
| System.out.println("Unable to read from specified file: "+modelFileName); |
| System.out.println(); |
| e.printStackTrace(); |
| } |
| } |
| } |
| |
| } |