Examples of weka.core.Instances.deleteAttributeAt()

weka.core.Instances.deleteAttributeAt()
Deletes an attribute at the given position (0 to numAttributes() - 1). A deep copy of the attribute information is performed before the attribute is deleted. @param position the attribute's position (position starts with 0) @throws IllegalArgumentException if the given index is out of rangeor the class attribute is being deleted

    m_DataBaseConnection.disconnectFromDatabase();
    //get rid of m_idColumn
    if(m_DataBaseConnection.getUpperCase())
        m_idColumn = m_idColumn.toUpperCase();
    if(result.attribute(0).name().equals(m_idColumn)){
        result.deleteAttributeAt(0);
    }
    m_structure = new Instances(result,0);
    }
    catch(Exception ex) {
  printException(ex);

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    System.out.println("Filtered data:"+data);
    
    /*
     * Remove score attribute
     */
    data.deleteAttributeAt(data.numAttributes() - 2);
    System.out.println("Filtered data:"+data);
    
    //set class attribute
    data.setClassIndex(data.numAttributes()-1);

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      int numInstances = boostData.numInstances();
      
      // Temporarily unset the class index
      int classIndex = data.classIndex();
      boostData.setClassIndex(-1);
      boostData.deleteAttributeAt(classIndex);
      boostData.insertAttributeAt(new Attribute("'pseudo class'"), classIndex);
      boostData.setClassIndex(classIndex);
      double [][] trainFs = new double [numInstances][m_NumClasses];
      double [][] trainYs = new double [numInstances][m_NumClasses];
      for (int j = 0; j < m_NumClasses; j++) {

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    // Create a copy of the data with the class transformed into numeric
    boostData = new Instances(data);


    // Temporarily unset the class index
    boostData.setClassIndex(-1);
    boostData.deleteAttributeAt(classIndex);
    boostData.insertAttributeAt(new Attribute("'pseudo class'"), classIndex);
    boostData.setClassIndex(classIndex);
    m_NumericClassData = new Instances(boostData, 0);


    data.randomize(m_RandomInstance);

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    Instances test = data.testCV(m_NumFolds, i);
    
    // Make class numeric
    Instances trainN = new Instances(train);
    trainN.setClassIndex(-1);
    trainN.deleteAttributeAt(classIndex);
    trainN.insertAttributeAt(new Attribute("'pseudo class'"), classIndex);
    trainN.setClassIndex(classIndex);
    m_NumericClassData = new Instances(trainN, 0);
    
    // Get class values

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    Instances testData = new Instances(exmp.dataset(), 0);
    testData.add(exmp);


    // convert the training dataset into single-instance dataset
    testData = Filter.useFilter(testData, m_ConvertToProp);  
    testData.deleteAttributeAt(0); //remove the bagIndex attribute  


    if (m_Filter != null)  
      testData = Filter.useFilter(testData, m_Filter); 


    for(int j = 0; j < testData.numInstances(); j++){

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      while (lastInstance < originalDataSet.numInstances()
    && sequenceID == originalDataSet.instance(lastInstance).value(dataSeqID)) {
  lastInstance++;
      }
      Instances dataSequence = new Instances(originalDataSet, firstInstance, (lastInstance)-firstInstance);
      dataSequence.deleteAttributeAt(dataSeqID);
      dataSequences.addElement(dataSequence);
      firstInstance = lastInstance;
    }
    return dataSequences;
  }

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    FastVector dataSequences = extractDataSequences(m_OriginalDataSet, m_DataSeqID);
    long minSupportCount = Math.round(m_MinSupport * dataSequences.size());
    FastVector kMinusOneSequences;
    FastVector kSequences;


    originalDataSet.deleteAttributeAt(0);
    FastVector oneElements = Element.getOneElements(originalDataSet);
    m_Cycles = 1;


    kSequences = Sequence.oneElementsToSequences(oneElements);
    Sequence.updateSupportCount(kSequences, dataSequences);

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    /* create a new output format (multi-instance format) */
    Instances newData = instanceInfo.stringFreeStructure();
    Attribute attBagIndex = (Attribute) newData.attribute(0).copy();
    Attribute attClass = (Attribute) newData.classAttribute().copy();
    // remove the bagIndex attribute
    newData.deleteAttributeAt(0);
    // remove the class attribute
    newData.setClassIndex(-1);
    newData.deleteAttributeAt(newData.numAttributes() - 1);


    FastVector attInfo = new FastVector(3);

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    Attribute attClass = (Attribute) newData.classAttribute().copy();
    // remove the bagIndex attribute
    newData.deleteAttributeAt(0);
    // remove the class attribute
    newData.setClassIndex(-1);
    newData.deleteAttributeAt(newData.numAttributes() - 1);


    FastVector attInfo = new FastVector(3); 
    attInfo.addElement(attBagIndex);
    attInfo.addElement(new Attribute("bag", newData)); // relation-valued attribute
    attInfo.addElement(attClass);

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