Exemplo n.º 1
0
 /**
  * Invokes the train() of the learning method
  *
  * @throws MaltChainedException
  */
 public void train() throws MaltChainedException {
   try {
     method.train(featureVector);
     method.terminate();
     method = null;
   } catch (NullPointerException e) {
     throw new GuideException("The learner cannot be found. ", e);
   }
 }
Exemplo n.º 2
0
 public void finalizeSentence(DependencyStructure dependencyGraph) throws MaltChainedException {
   try {
     method.finalizeSentence(dependencyGraph);
   } catch (NullPointerException e) {
     throw new GuideException("The learner cannot be found. ", e);
   }
 }
Exemplo n.º 3
0
 public void noMoreInstances() throws MaltChainedException {
   try {
     method.noMoreInstances();
   } catch (NullPointerException e) {
     throw new GuideException("The learner cannot be found. ", e);
   }
 }
Exemplo n.º 4
0
 public void addInstance(SingleDecision decision) throws MaltChainedException {
   try {
     method.addInstance(decision, featureVector);
   } catch (NullPointerException e) {
     throw new GuideException("The learner cannot be found. ", e);
   }
 }
Exemplo n.º 5
0
 /**
  * Constructs an atomic model.
  *
  * @param index the index of the atomic model (-1..n), where -1 is special value (used by a single
  *     model or the master divide model) and n is number of divide models.
  * @param features the feature vector used by the atomic model.
  * @param parent the parent guide model.
  * @throws MaltChainedException
  */
 public AtomicModel(int index, FeatureVector features, Model parent) throws MaltChainedException {
   setParent(parent);
   setIndex(index);
   if (index == -1) {
     setModelName(parent.getModelName() + ".");
   } else {
     setModelName(parent.getModelName() + "." + new Formatter().format("%03d", index) + ".");
   }
   setFeatures(features);
   setFrequency(0);
   initMethod();
   if (getGuide().getGuideMode() == ClassifierGuide.GuideMode.BATCH
       && index == -1
       && getGuide().getConfiguration().getConfigurationDir().getInfoFileWriter() != null) {
     try {
       getGuide()
           .getConfiguration()
           .getConfigurationDir()
           .getInfoFileWriter()
           .write(method.toString());
       getGuide().getConfiguration().getConfigurationDir().getInfoFileWriter().flush();
     } catch (IOException e) {
       throw new GuideException("Could not write learner settings to the information file. ", e);
     }
   }
 }
Exemplo n.º 6
0
 /**
  * Moves all instance from this atomic model into the destination atomic model and add the divide
  * feature. This method is used by the feature divide model to sum up all model below a certain
  * threshold.
  *
  * @param model the destination atomic model
  * @param divideFeature the divide feature
  * @param divideFeatureIndexVector the divide feature index vector
  * @throws MaltChainedException
  */
 public void moveAllInstances(
     AtomicModel model, FeatureFunction divideFeature, ArrayList<Integer> divideFeatureIndexVector)
     throws MaltChainedException {
   if (method == null) {
     throw new GuideException("The learner cannot be found. ");
   } else if (model == null) {
     throw new GuideException("The guide model cannot be found. ");
   } else if (divideFeature == null) {
     throw new GuideException("The divide feature cannot be found. ");
   } else if (divideFeatureIndexVector == null) {
     throw new GuideException("The divide feature index vector cannot be found. ");
   }
   ((Modifiable) divideFeature).setFeatureValue(index);
   method.moveAllInstances(model.getMethod(), divideFeature, divideFeatureIndexVector);
   method.terminate();
   method = null;
 }
Exemplo n.º 7
0
 public void terminate() throws MaltChainedException {
   if (method != null) {
     method.terminate();
     method = null;
   }
   featureVector = null;
   parent = null;
 }
Exemplo n.º 8
0
 public boolean predict(SingleDecision decision) throws MaltChainedException {
   try {
     if (getGuide().getGuideMode() == ClassifierGuide.GuideMode.BATCH) {
       throw new GuideException("Cannot predict during batch training. ");
     }
     return method.predict(featureVector, decision);
   } catch (NullPointerException e) {
     throw new GuideException("The learner cannot be found. ", e);
   }
 }
Exemplo n.º 9
0
 /* (non-Javadoc)
  * @see java.lang.Object#toString()
  */
 public String toString() {
   final StringBuilder sb = new StringBuilder();
   sb.append(method.toString());
   return sb.toString();
 }
Exemplo n.º 10
0
  public void moveAllInstances(
      LearningMethod method,
      FeatureFunction divideFeature,
      ArrayList<Integer> divideFeatureIndexVector)
      throws MaltChainedException {
    if (method == null) {
      throw new LibException("The learning method cannot be found. ");
    } else if (divideFeature == null) {
      throw new LibException("The divide feature cannot be found. ");
    }

    try {
      final BufferedReader in = new BufferedReader(getInstanceInputStreamReader(".ins"));
      final BufferedWriter out = method.getInstanceWriter();
      final StringBuilder sb = new StringBuilder(6);
      int l = in.read();
      char c;
      int j = 0;

      while (true) {
        if (l == -1) {
          sb.setLength(0);
          break;
        }
        c = (char) l;
        l = in.read();
        if (c == '\t') {
          if (divideFeatureIndexVector.contains(j - 1)) {
            out.write(
                Integer.toString(
                    ((SingleFeatureValue) divideFeature.getFeatureValue()).getIndexCode()));
            out.write('\t');
          }
          out.write(sb.toString());
          j++;
          out.write('\t');
          sb.setLength(0);
        } else if (c == '\n') {
          out.write(sb.toString());
          if (divideFeatureIndexVector.contains(j - 1)) {
            out.write('\t');
            out.write(
                Integer.toString(
                    ((SingleFeatureValue) divideFeature.getFeatureValue()).getIndexCode()));
          }
          out.write('\n');
          sb.setLength(0);
          method.increaseNumberOfInstances();
          this.decreaseNumberOfInstances();
          j = 0;
        } else {
          sb.append(c);
        }
      }
      in.close();
      getFile(".ins").delete();
      out.flush();
    } catch (SecurityException e) {
      throw new LibException("The learner cannot remove the instance file. ", e);
    } catch (NullPointerException e) {
      throw new LibException("The instance file cannot be found. ", e);
    } catch (FileNotFoundException e) {
      throw new LibException("The instance file cannot be found. ", e);
    } catch (IOException e) {
      throw new LibException("The learner read from the instance file. ", e);
    }
  }