Java Code Examples for weka.core.SerializedObject#getObject()

/**
 * Creates a given number of deep or shallow (if the kernel implements Copyable) 
 * copies of the given kernel using serialization.
 * 
 * @param model 	the kernel to copy
 * @param num 	the number of kernel copies to create.
 * @return 		an array of kernels.
 * @throws Exception 	if an error occurs
 */
public static Kernel[] makeCopies(Kernel model, int num) throws Exception {
  if (model == null)
    throw new Exception("No model kernel set");

  Kernel[] kernels = new Kernel[num];
  if (model instanceof Copyable) {
    for (int i = 0; i < kernels.length; i++) {
      kernels[i] = (Kernel) ((Copyable) model).copy();
    }
  } else {
    SerializedObject so = new SerializedObject(model);
    for (int i = 0; i < kernels.length; i++)
      kernels[i] = (Kernel) so.getObject();
  }

  return kernels;
}
 

DelValueAction(int nTargetNode, String sValue) {
	try {
		m_nTargetNode = nTargetNode;
		m_sValue = sValue;
		m_att = m_Instances.attribute(nTargetNode);
		SerializedObject so = new SerializedObject(m_Distributions[nTargetNode]);
		m_CPT = (Estimator[]) so.getObject();
		;
		m_children = new FastVector();
		for (int iNode = 0; iNode < getNrOfNodes(); iNode++) {
			if (m_ParentSets[iNode].contains(nTargetNode)) {
				m_children.addElement(iNode);
			}
		}
		m_childAtts = new Estimator[m_children.size()][];
		for (int iChild = 0; iChild < m_children.size(); iChild++) {
			int nChild = (Integer) m_children.elementAt(iChild);
			m_childAtts[iChild] = m_Distributions[nChild];
		}
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

public void undo() {
	try {
		SerializedObject so = new SerializedObject(m_CPT);
		m_Distributions[m_nChild] = (Estimator[]) so.getObject();
		ParentSet parentSet = new ParentSet();
		for (int iParent = 0; iParent < m_nParents.length; iParent++) {
			parentSet.addParent(m_nParents[iParent], m_Instances);
		}
		m_ParentSets[m_nChild] = parentSet;
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

/**
 * Creates a given number of deep copies of the given multi-label classifier using serialization.
 *
 * @param model the classifier to copy
 * @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;
}
 

/**
 * Creates a given number of deep copies of the given classifier using serialization.
 *
 * @param model the classifier to copy
 * @param num the number of classifier copies to create.
 * @return an array of classifiers.
 * @exception Exception if an error occurs
 */
public static Classifier [] makeCopies(Classifier model,
			 int num) throws Exception {

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

/**
 * Creates a given number of deep copies of the given estimator using serialization.
 * 
 * @param model the estimator to copy
 * @param num the number of estimator copies to create.
 * @return an array of estimators.
 * @exception Exception if an error occurs
 */
public static Estimator [] makeCopies(Estimator model,
			 int num) throws Exception {

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

/**
 * Creates a given number of deep copies of the given filter using 
 * serialization.
 * 
 * @param model 	the filter to copy
 * @param num 	the number of filter copies to create.
 * @return 		an array of filters.
 * @throws Exception 	if an error occurs
 */
public static Filter[] makeCopies(Filter model, int num) throws Exception {

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

/**
 * Creates a given number of deep copies of the given classifier using serialization.
 *
 * @param model the classifier to copy
 * @param num the number of classifier copies to create.
 * @return an array of classifiers.
 * @exception Exception if an error occurs
 */
public static Classifier [] makeCopies(Classifier model, int num) throws Exception {

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

public void undo() {
	try {
		SerializedObject so = new SerializedObject(m_CPT);
		m_Distributions[m_nTargetNode] = (Estimator[]) so.getObject();
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

SetDistributionAction(int nTargetNode, double[][] P) {
	try {
		m_nTargetNode = nTargetNode;
		SerializedObject so = new SerializedObject(m_Distributions[nTargetNode]);
		m_CPT = (Estimator[]) so.getObject();
		;
		m_P = P;
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

/**
 * Creates copies of the current clusterer. Note that this method
 * now uses Serialization to perform a deep copy, so the Clusterer
 * object must be fully Serializable. Any currently built model will
 * now be copied as well.
 *
 * @param model an example clusterer to copy
 * @param num the number of clusterer copies to create.
 * @return an array of clusterers.
 * @exception Exception if an error occurs 
 */
public static Clusterer [] makeCopies(Clusterer model,
			int num) throws Exception {
   if (model == null) {
    throw new Exception("No model clusterer set");
  }
  Clusterer [] clusterers = new Clusterer [num];
  SerializedObject so = new SerializedObject(model);
  for(int i = 0; i < clusterers.length; i++) {
    clusterers[i] = (Clusterer) so.getObject();
  }
  return clusterers;
}
 

DeleteArcAction(int nParent, int nChild) {
	try {
	m_nChild = nChild;
	m_nParent = nParent;
	m_nParents = new int[getNrOfParents(nChild)];
	for (int iParent = 0; iParent < m_nParents.length; iParent++) {
		m_nParents[iParent] = getParent(nChild, iParent);
	}
	SerializedObject so = new SerializedObject(m_Distributions[nChild]);
	m_CPT = (Estimator[]) so.getObject();
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

public void undo() {
	try {
		for (int iChild = 0; iChild < m_children.size(); iChild++) {
			int nChild = (Integer) m_children.elementAt(iChild);
			deleteArc(m_nParent, nChild);
			SerializedObject so = new SerializedObject(m_CPT[iChild]);
			m_Distributions[nChild] = (Estimator[]) so.getObject();
		}
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

AddArcAction(int nParent, FastVector children) {
	try {
		m_nParent = nParent;
		m_children = new FastVector();
		m_CPT = new Estimator[children.size()][];
		for (int iChild = 0; iChild < children.size(); iChild++) {
			int nChild = (Integer) children.elementAt(iChild);
			m_children.addElement(nChild);
			SerializedObject so = new SerializedObject(m_Distributions[nChild]);
			m_CPT[iChild] = (Estimator[]) so.getObject();
		}
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

AddArcAction(int nParent, int nChild) {
	try {
		m_nParent = nParent;
		m_children = new FastVector();
		m_children.addElement(nChild);
		//m_nChild = nChild;
		SerializedObject so = new SerializedObject(m_Distributions[nChild]);
		m_CPT = new Estimator[1][];
		m_CPT[0] = (Estimator[]) so.getObject();
		;
	} catch (Exception e) {
		e.printStackTrace();
	}
}
 

/**
 * returns deep copies of the given object
 * 
 * @param obj		the object to copy
 * @param num		the number of copies
 * @return		the deep copies
 * @throws Exception	if copying fails
 */
protected Object[] makeCopies(Object obj, int num) throws Exception {
  if (obj == null)
    throw new Exception("No object set");

  Object[] objs = new Object[num];
  SerializedObject so = new SerializedObject(obj);
  for(int i = 0; i < objs.length; i++) {
    objs[i] = so.getObject();
  }
  
  return objs;
}
 

/**
 * Creates copies of the current search scheme. Note that this method
 * now uses Serialization to perform a deep copy, so the search
 * object must be fully Serializable. Any currently built model will
 * now be copied as well.
 *
 * @param model an example search scheme to copy
 * @param num the number of search scheme copies to create.
 * @return an array of search schemes.
 * @throws Exception if an error occurs 
 */
public static ASSearch[] makeCopies(ASSearch model, int num) throws Exception {

  if (model == null)
    throw new Exception("No model search scheme set");
    
  ASSearch[] result = new ASSearch[num];
  SerializedObject so = new SerializedObject(model);
  for (int i = 0; i < result.length; i++)
    result[i] = (ASSearch) so.getObject();

  return result;
}
 

/**
 * Creates copies of the current evaluator. Note that this method
 * now uses Serialization to perform a deep copy, so the evaluator
 * object must be fully Serializable. Any currently built model will
 * now be copied as well.
 *
 * @param model an example evaluator to copy
 * @param num the number of evaluator copies to create.
 * @return an array of evaluators.
 * @exception Exception if an error occurs 
 */
public static ASEvaluation [] makeCopies(ASEvaluation model,
			 int num) throws Exception {

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

/**
 * Creates copies of the current associator. Note that this method
 * now uses Serialization to perform a deep copy, so the Associator
 * object must be fully Serializable. Any currently built model will
 * now be copied as well.
 *
 * @param model an example associator to copy
 * @param num the number of associators copies to create.
 * @return an array of associators.
 * @exception Exception if an error occurs 
 */
public static Associator[] makeCopies(Associator model,
			 int num) throws Exception {

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

/**
 * Creates copies of the current clusterer. Note that this method
 * now uses Serialization to perform a deep copy, so the Clusterer
 * object must be fully Serializable. Any currently built model will
 * now be copied as well.
 *
 * @param model an example clusterer to copy
 * @param num the number of clusterer copies to create.
 * @return an array of clusterers.
 * @exception Exception if an error occurs 
 */
public static DensityBasedClusterer [] makeCopies(DensityBasedClusterer model,
				    int num) throws Exception {
   if (model == null) {
    throw new Exception("No model clusterer set");
  }
  DensityBasedClusterer [] clusterers = new DensityBasedClusterer [num];
  SerializedObject so = new SerializedObject(model);
  for(int i = 0; i < clusterers.length; i++) {
    clusterers[i] = (DensityBasedClusterer) so.getObject();
  }
  return clusterers;
}