Examples of weka.core.FastVector.addElement()

weka.core.FastVector.addElement()
Adds an element to this vector. Increases its capacity if its not large enough. @param element the element to add

        Node node = ((Node) valueslist.elementAt(iValue)).getFirstChild();
        String sValue = ((CharacterData) (node)).getData();
        if (sValue == null) {
          sValue = "Value" + (iValue + 1);
        }
        nomStrings.addElement(sValue);
      }
      FastVector nodelist2;
      // Get the name of the network
      nodelist2 = selectElements(nodelist.item(iNode), "NAME");
      if (nodelist2.size() == 0) {

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    }
    Attribute att = m_Instances.attribute(nTargetNode);
    int nCardinality = att.numValues();
    FastVector values = new FastVector(nCardinality);
    for (int iValue = 0; iValue < nCardinality; iValue++) {
      values.addElement(att.value(iValue));
    }
    replaceAtt(nTargetNode, sName, values);
  } // setNodeName


  /** change the name of a value of a node

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    Attribute att = m_Instances.attribute(nTargetNode);
    int nCardinality = att.numValues();
    FastVector values = new FastVector(nCardinality);
    for (int iValue = 0; iValue < nCardinality; iValue++) {
      if (att.value(iValue).equals(sValue)) {
        values.addElement(sNewValue);
      } else {
        values.addElement(att.value(iValue));
      }
    }
    replaceAtt(nTargetNode, att.name(), values);

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    FastVector values = new FastVector(nCardinality);
    for (int iValue = 0; iValue < nCardinality; iValue++) {
      if (att.value(iValue).equals(sValue)) {
        values.addElement(sNewValue);
      } else {
        values.addElement(att.value(iValue));
      }
    }
    replaceAtt(nTargetNode, att.name(), values);
  } // renameNodeValue

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    }
    Attribute att = m_Instances.attribute(nTargetNode);
    int nCardinality = att.numValues();
    FastVector values = new FastVector(nCardinality);
    for (int iValue = 0; iValue < nCardinality; iValue++) {
      values.addElement(att.value(iValue));
    }
    values.addElement(sNewValue);
    replaceAtt(nTargetNode, att.name(), values);


    // update distributions of this node

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    int nCardinality = att.numValues();
    FastVector values = new FastVector(nCardinality);
    for (int iValue = 0; iValue < nCardinality; iValue++) {
      values.addElement(att.value(iValue));
    }
    values.addElement(sNewValue);
    replaceAtt(nTargetNode, att.name(), values);


    // update distributions of this node
    Estimator[] distributions = m_Distributions[nTargetNode];
    int nNewCard = values.size();

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    int nValue = -1;
    for (int iValue = 0; iValue < nCardinality; iValue++) {
      if (att.value(iValue).equals(sValue)) {
        nValue = iValue;
      } else {
        values.addElement(att.value(iValue));
      }
    }
    if (nValue < 0) {
      // could not find value
      throw new Exception("Node " + nTargetNode + " does not have value (" + sValue + ")");

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   */
  public FastVector getChildren(int nTargetNode) {
    FastVector children = new FastVector();
    for (int iNode = 0; iNode < getNrOfNodes(); iNode++) {
      if (m_ParentSets[iNode].contains(nTargetNode)) {
        children.addElement(iNode);
      }
    }
    return children;
  } // getChildren

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    private Instances initializeDataSet(int numFeatures, int neededCapacity) {
        FastVector fvAllAttributes = new FastVector(numFeatures + 1);
        Attribute tempAtt;
        for (int i = 0; i < numFeatures; i++) {
            tempAtt = new Attribute("att" + i);
            fvAllAttributes.addElement(tempAtt);
        }
        FastVector fvClassVal = new FastVector(2);
        fvClassVal.addElement("positive");
        fvClassVal.addElement("negative");
        Attribute ClassAttribute = new Attribute("theClass", fvClassVal);

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        for (int i = 0; i < numFeatures; i++) {
            tempAtt = new Attribute("att" + i);
            fvAllAttributes.addElement(tempAtt);
        }
        FastVector fvClassVal = new FastVector(2);
        fvClassVal.addElement("positive");
        fvClassVal.addElement("negative");
        Attribute ClassAttribute = new Attribute("theClass", fvClassVal);
        fvAllAttributes.addElement(ClassAttribute);
        // Create an empty training set
        Instances emptySet = new Instances("dataSet", fvAllAttributes, neededCapacity);

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