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MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
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/* Copyright (C) 2003 Univ. of Massachusetts Amherst, Computer Science Dept.
   This file is part of "MALLET" (MAchine Learning for LanguagE Toolkit).
   http://www.cs.umass.edu/~mccallum/mallet
   This software is provided under the terms of the Common Public License,
   version 1.0, as published by http://www.opensource.org.  For further
   information, see the file `LICENSE' included with this distribution. */
package cc.mallet.grmm.learning;
/**
 *
 * Created: Aug 23, 2005
 *
 * @author  trainSource = new LineGroupIterator (new FileReader (trainFile.value), Pattern.compile ("^\\s*$"), true);
    Iterator testSource;
    if (testFile.wasInvoked ()) {
      testSource = new LineGroupIterator (new FileReader (testFile.value), Pattern.compile ("^\\s*$"), true);
    } else {
      testSource = null;
    }

    InstanceList training = new InstanceList (pipe);
    training.addThruPipe (trainSource);
    InstanceList testing = new InstanceList (pipe);
    testing.addThruPipe (testSource);

    ACRF.Template[] tmpls = parseModelFile (modelFile.value);
    ACRFEvaluator eval = createEvaluator (evalOption.value);

    Inferencer inf = createInferencer (inferencerOption.value);
    Inferencer maxInf = createInferencer (maxInferencerOption.value);

    ACRF acrf = new ACRF (pipe, tmpls);
    acrf.setInferencer (inf);
    acrf.setViterbiInferencer (maxInf);

    ACRFTrainer trainer = createTrainer();
    System.err.println ("ACRF Trainer = "+trainer);
    trainer.train (acrf, training, null, testing, eval, 9999);
    timing.tick ("Training");

    FileUtils.writeGzippedObject (new File ("acrf.ser.gz"), acrf);
    timing.tick ("Serializing");

    System.err.println ("Total time (ms) = " + timing.elapsedTime ());
  }

  private static BshInterpreter setupInterpreter ()
  {
    BshInterpreter interpreter = CommandOption.getInterpreter ();
    try {
      interpreter.eval ("import cc.mallet.base.extract.*");
      interpreter.eval ("import cc.mallet.grmm.inference.*");
      interpreter.eval ("import cc.mallet.grmm.learning.*");
      interpreter.eval ("import cc.mallet.grmm.learning.templates.*");
    } catch (EvalError e) {
      throw new RuntimeException (e);
    }

    return interpreter;
  }

  public static ACRFEvaluator createEvaluator (String spec) throws EvalError
  {
    if (spec.indexOf ('(') >= 0) {
      // assume it's Java code, and don't screw with it.
      return (ACRFEvaluator) interpreter.eval (spec);
    } else {
      LinkedList toks = new LinkedList (Arrays.asList (spec.split ("\\s+")));
      return createEvaluator (toks);
    }
  }

  private static ACRFEvaluator createEvaluator (LinkedList toks)
  {
    String type = (String) toks.removeFirst ();

    if (type.equalsIgnoreCase ("SEGMENT")) {
      int slice = Integer.parseInt ((String) toks.removeFirst ());
      if (toks.size() % 2 != 0)
        throw new RuntimeException ("Error in --eval "+evalOption.value+": Every start tag must have a continue.");
      int numTags = toks.size () / 2;
      String[] startTags = new String [numTags];
      String[] continueTags = new String [numTags];

      for (int i = 0; i < numTags; i++) {
        startTags[i] = (String) toks.removeFirst ();
        continueTags[i] = (String) toks.removeFirst ();
      }

      return new MultiSegmentationEvaluatorACRF (startTags, continueTags, slice);

    } else if (type.equalsIgnoreCase ("LOG")) {
      return new DefaultAcrfTrainer.LogEvaluator ();

    } else if (type.equalsIgnoreCase ("SERIAL")) {
      List evals = new ArrayList ();
      while (!toks.isEmpty ()) {
        evals.add (createEvaluator (toks));
      }
      return new AcrfSerialEvaluator (evals);

    } else {
      throw new RuntimeException ("Error in --eval "+evalOption.value+": illegal evaluator "+type);
    }
  }

  private static Inferencer createInferencer (String spec) throws EvalError
  {
    String cmd;
    if (spec.indexOf ('(') >= 0) {
      // assume it's Java code, and don't screw with it.
      cmd = spec;
    } else {
      cmd = "new "+spec+"()";
    }

    // Return whatever the Java code says to
    Object inf = interpreter.eval (cmd);

    if (inf instanceof Inferencer)
      return (Inferencer) inf;

    else throw new RuntimeException ("Don't know what to do with inferencer "+inf);
  }


  public static void doProcessOptions (Class childClass, String[] args)
  {
    CommandOption.List options = new CommandOption.List ("", new CommandOption[0]);
    options.add (childClass);
    options.process (args);
    options.logOptions (Logger.getLogger (""));
  }

  private static ACRF.Template[] parseModelFile (File mdlFile) throws IOException, EvalError
  {
    BufferedReader in = new BufferedReader (new FileReader (mdlFile));

    List tmpls = new ArrayList ();
    String line = in.readLine ();
    while (line != null) {
      Object tmpl = interpreter.eval (line);
      if (!(tmpl instanceof ACRF.Template)) {
        throw new RuntimeException ("Error in "+mdlFile+" line "+in.toString ()+":\n  Object "+tmpl+" not a template");
      }
      tmpls.add (tmpl);
      line = in.readLine ();
    }

    return (ACRF.Template[]) tmpls.toArray (new ACRF.Template [0]);
  }

}