Example usage for weka.core SerializedObject SerializedObject

Introduction

In this page you can find the example usage for weka.core SerializedObject SerializedObject.

Prototype

public SerializedObject(Object toStore) throws Exception

Source Link

Document

Creates a new serialized object (without compression).

Usage

From source file:activeSegmentation.learning.WekaClassifier.java

License:Open Source License

@Override
public IClassifier makeCopy() throws Exception {
    // TODO Auto-generated method stub
    return (IClassifier) new SerializedObject(this).getObject();
}

From source file:meka.classifiers.multilabel.AbstractMultiLabelClassifier.java

License:Open Source License

/**
 * Creates a given number of deep copies of the given multi-label classifier using serialization.
 *
 * @param model the classifier to copy/*from w  w  w  .  ja  v a 2s.c  o m*/
 * @param num the number of classifier copies to create.
 * @return an array of classifiers.
 * @exception Exception if an error occurs
 */
public static MultiLabelClassifier[] makeCopies(MultiLabelClassifier model, int num) throws Exception {

    if (model == null) {
        throw new Exception("No model classifier set");
    }
    MultiLabelClassifier classifiers[] = new MultiLabelClassifier[num];
    SerializedObject so = new SerializedObject(model);
    for (int i = 0; i < classifiers.length; i++) {
        classifiers[i] = (MultiLabelClassifier) so.getObject();
    }
    return classifiers;
}

From source file:meka.classifiers.multilabel.ProblemTransformationMethod.java

License:Open Source License

/**
 * Creates a given number of deep copies of the given multi-label classifier using serialization.
 *
 * @param model the classifier to copy//from   w  w w .  ja  v a2s .c om
 * @param num the number of classifier copies to create.
 * @return an array of classifiers.
 * @exception Exception if an error occurs
 */
public static ProblemTransformationMethod[] makeCopies(ProblemTransformationMethod model, int num)
        throws Exception {

    if (model == null) {
        throw new Exception("No model classifier set");
    }
    ProblemTransformationMethod classifiers[] = new ProblemTransformationMethod[num];
    SerializedObject so = new SerializedObject(model);
    for (int i = 0; i < classifiers.length; i++) {
        classifiers[i] = (ProblemTransformationMethod) so.getObject();
    }
    return classifiers;
}

From source file:meka.core.ObjectUtils.java

License:Open Source License

/**
 * Creates a deep copy of the given object (must be serializable!). Returns
 * null in case of an error.// ww  w . j  a v a  2s  .  co  m
 *
 * @param o      the object to copy
 * @return      the deep copy
 */
public static Object deepCopy(Object o) {
    Object result;
    SerializedObject so;

    try {
        so = new SerializedObject((Serializable) o);
        result = so.getObject();
    } catch (Exception e) {
        System.err.println("Failed to serialize " + o.getClass().getName() + ":");
        e.printStackTrace();
        result = null;
    }

    return result;
}

From source file:milk.classifiers.MIClassifier.java

License:Open Source License

/**
 * Creates copies of the current classifier, which can then
 * be used for boosting etc. Note that this method now uses
 * Serialization to perform a deep copy, so the Classifier
 * object must be fully Serializable. Any currently built model
 * will now be copied as well.//  ww  w . j  a va  2s.c o  m
 *
 * @param model an example classifier to copy
 * @param num the number of classifiers copies to create.
 * @return an array of MI-classifiers.
 * @exception Exception if an error occurs
 */
public static MIClassifier[] makeCopies(MIClassifier model, int num) throws Exception {

    if (model == null) {
        throw new Exception("No model classifier set");
    }
    MIClassifier[] classifiers = new MIClassifier[num];
    SerializedObject so = new SerializedObject(model);
    for (int i = 0; i < classifiers.length; i++) {
        classifiers[i] = (MIClassifier) so.getObject();
    }
    return classifiers;
}

From source file:milk.experiment.MIRemoteExperiment.java

License:Open Source License

/**
   * Prepares a remote experiment for running, creates sub experiments
   */*from ww  w .j  av a  2 s .c  o m*/
   * @exception Exception if an error occurs
   */
  public void initialize() throws Exception {
      if (m_baseExperiment == null) {
          throw new Exception("No base experiment specified!");
      }

      m_experimentAborted = false;
      m_finishedCount = 0;
      m_failedCount = 0;
      m_RunNumber = getRunLower();
      m_DatasetNumber = 0;
      m_PropertyNumber = 0;
      m_CurrentProperty = -1;
      m_CurrentInstances = null;
      m_Finished = false;

      if (m_remoteHosts.size() == 0) {
          throw new Exception("No hosts specified!");
      }
      // initialize all remote hosts to available
      m_remoteHostsStatus = new int[m_remoteHosts.size()];
      m_remoteHostFailureCounts = new int[m_remoteHosts.size()];

      m_remoteHostsQueue = new Queue();
      // prime the hosts queue
      for (int i = 0; i < m_remoteHosts.size(); i++) {
          m_remoteHostsQueue.push(new Integer(i));
      }

      // set up sub experiments
      m_subExpQueue = new Queue();
      int numExps;
      if (getSplitByDataSet()) {
          numExps = m_baseExperiment.getDatasets().size();
      } else {
          numExps = getRunUpper() - getRunLower() + 1;
      }
      m_subExperiments = new MIExperiment[numExps];
      m_subExpComplete = new int[numExps];
      // create copy of base experiment
      SerializedObject so = new SerializedObject(m_baseExperiment);

      if (getSplitByDataSet()) {
          for (int i = 0; i < m_baseExperiment.getDatasets().size(); i++) {
              m_subExperiments[i] = (MIExperiment) so.getObject();
              // one for each data set
              DefaultListModel temp = new DefaultListModel();
              temp.addElement(m_baseExperiment.getDatasets().elementAt(i));
              m_subExperiments[i].setDatasets(temp);
              m_subExpQueue.push(new Integer(i));
          }
      } else {
          for (int i = getRunLower(); i <= getRunUpper(); i++) {
              m_subExperiments[i - getRunLower()] = (MIExperiment) so.getObject();
              // one run for each sub experiment
              m_subExperiments[i - getRunLower()].setRunLower(i);
              m_subExperiments[i - getRunLower()].setRunUpper(i);

              m_subExpQueue.push(new Integer(i - getRunLower()));
          }
      }
  }

From source file:mimlclassifier.MIMLClassifier.java

License:Open Source License

@Override
public MultiLabelLearner makeCopy() throws Exception {
    return (MultiLabelLearner) new SerializedObject(this).getObject();
}

From source file:mulan.classifier.MultiLabelLearnerBase.java

License:Open Source License

public MultiLabelLearner makeCopy() throws Exception {
    return (MultiLabelLearner) new SerializedObject(this).getObject();
}

From source file:mulan.data.LabelsMetaDataImpl.java

License:Open Source License

@SuppressWarnings("unchecked")
@Override/* w ww.  j  a  v a  2s .c  o  m*/
public LabelsMetaData clone() {
    Set<LabelNode> rootNodes = null;
    try {
        SerializedObject obj = new SerializedObject(rootLabelNodes);
        rootNodes = (Set<LabelNode>) obj.getObject();
    } catch (Exception ex) {
        throw new WekaException("Failed to create copy of 'root label nodes'.", ex);
    }

    LabelsMetaDataImpl copyResult = new LabelsMetaDataImpl();
    for (LabelNode rootNode : rootNodes) {
        copyResult.addRootNode(rootNode);
    }

    return copyResult;
}

From source file:mulan.evaluation.measure.ClassificationMeasureBase.java

License:Open Source License

public Measure makeCopy() throws Exception {
    return (Measure) new SerializedObject(this).getObject();
}