Examples of weka.filters.unsupervised.attribute.Remove

Package weka.filters.unsupervised.attribute

Examples of weka.filters.unsupervised.attribute.Remove

weka.filters.unsupervised.attribute.Remove
A filter that removes a range of attributes from the dataset. Will re-order the remaining attributes if invert matching sense is turned on and the attribute column indices are not specified in ascending order.
Valid options are:
```
 -R <index1,index2-index4,...> Specify list of columns to delete. First and last are valid indexes. (default none)
```
```
 -V Invert matching sense (i.e. only keep specified columns)
```
@author Len Trigg (trigg@cs.waikato.ac.nz) @version $Revision: 7107 $

    double evalMetric = 0;
    double[] repError = new double[5];
    int numAttributes = 0;
    int i, j;
    Random Rnd = new Random(m_seed);
    Remove delTransform = new Remove();
    delTransform.setInvertSelection(true);
    // copy the instances
    Instances trainCopy = new Instances(m_trainInstances);


    // count attributes set in the BitSet
    for (i = 0; i < m_numAttribs; i++) {
      if (subset.get(i)) {
        numAttributes++;
      }
    }


    // set up an array of attribute indexes for the filter (+1 for the class)
    int[] featArray = new int[numAttributes + 1];


    for (i = 0, j = 0; i < m_numAttribs; i++) {
      if (subset.get(i)) {
        featArray[j++] = i;
      }
    }


    featArray[j] = m_classIndex;
    delTransform.setAttributeIndicesArray(featArray);
    delTransform.setInputFormat(trainCopy);
    trainCopy = Filter.useFilter(trainCopy, delTransform);


    // max of 5 repetitions of cross validation
    for (i = 0; i < 5; i++) {
      m_Evaluation = new Evaluation(trainCopy);

View Full Code Here

    m_RemoveButton.setEnabled(false);
    m_RemoveButton.setToolTipText("Remove selected attributes.");
    m_RemoveButton.addActionListener(new ActionListener() {
  public void actionPerformed(ActionEvent e) {
    try {
      Remove r = new Remove();
      int [] selected = m_AttPanel.getSelectedAttributes();
      if (selected.length == 0) {
        return;
      }
      if (selected.length == m_Instances.numAttributes()) {
        // Pop up an error optionpane
        JOptionPane.showMessageDialog(PreprocessPanel.this,
              "Can't remove all attributes from data!\n",
              "Remove Attributes",
              JOptionPane.ERROR_MESSAGE);
        m_Log.logMessage("Can't remove all attributes from data!");
        m_Log.statusMessage("Problem removing attributes");
        return;
      }
      r.setAttributeIndicesArray(selected);
      applyFilter(r);
      m_RemoveButton.setEnabled(false);
    } catch (Exception ex) {
      if (m_Log instanceof TaskLogger) {
        ((TaskLogger)m_Log).taskFinished();

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         +m_upperBoundMinSupport);
      }
    }


    if (deleteString.toString().length() > 0) {
      Remove af = new Remove();
      af.setAttributeIndices(deleteString.toString());
      af.setInvertSelection(false);
      af.setInputFormat(instances);
      Instances newInst = Filter.useFilter(instances, af);


      return newInst;
    }
    return instances;

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      m_RunThread.start();
    }
  }


  private Instances removeClass(Instances inst) {
    Remove af = new Remove();
    Instances retI = null;
    
    try {
      if (inst.classIndex() < 0) {
  retI = inst;
      } else {
  af.setAttributeIndices(""+(inst.classIndex()+1));
  af.setInvertSelection(false);
  af.setInputFormat(inst);
  retI = Filter.useFilter(inst, af);
      }
    } catch (Exception e) {
      e.printStackTrace();
    }

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      if (m_ignoreKeyList.isSelectedIndex(classIndex)) {
  m_ignoreKeyList.removeSelectionInterval(classIndex, classIndex);
      }
    }
    int [] selected = m_ignoreKeyList.getSelectedIndices();
    Remove af = new Remove();
    Instances retI = null;


    try {
      af.setAttributeIndicesArray(selected);
      af.setInvertSelection(false);
      af.setInputFormat(inst);
      retI = Filter.useFilter(inst, af);
    } catch (Exception e) {
      e.printStackTrace();
    }

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    return retI;
  }


  private Instances removeIgnoreCols(Instances inst, int[] toIgnore) {


    Remove af = new Remove();
    Instances retI = null;


    try {
      af.setAttributeIndicesArray(toIgnore);
      af.setInvertSelection(false);
      af.setInputFormat(inst);
      retI = Filter.useFilter(inst, af);
    } catch (Exception e) {
      e.printStackTrace();
    }

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        }
      }


      if (otherTargets.length() > 0) {
        otherTargets = otherTargets.substring(0, otherTargets.lastIndexOf(','));
        m_otherTargetRemover = new Remove();
        m_otherTargetRemover.setAttributeIndices(otherTargets);
        m_otherTargetRemover.setInputFormat(train);
        train = Filter.useFilter(train, m_otherTargetRemover);
      }

View Full Code Here

    }


    if (removeLongLagIndexes.length() > 0) {
      removeLongLagIndexes = removeLongLagIndexes.substring(0,
          removeLongLagIndexes.lastIndexOf(','));
      Remove r = new Remove();
      r.setAttributeIndices(removeLongLagIndexes);
      r.setInputFormat(insts);
      insts = Filter.useFilter(insts, r);
      m_averagedLagMakers.add(r);
    }


    return insts;

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      removeList += "" + (i + 1) + ",";
    }


    if (removeList.length() > 0) {
      removeList = removeList.substring(0, removeList.lastIndexOf(','));
      m_extraneousAttributeRemover = new Remove();
      m_extraneousAttributeRemover.setAttributeIndices(removeList);
      m_extraneousAttributeRemover.setInputFormat(insts);
      insts = Filter.useFilter(insts, m_extraneousAttributeRemover);
    }

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        String[] optionsDel = new String[2];
      optionsDel[0] = "-R";                                   
      optionsDel[1] = "";
      for (int i = 0; i < rmAttributes.length; i++) 
        optionsDel[1] += (1+data.attribute(rmAttributes[i]).index()) + ",";     
      Remove remove = new Remove();                         
      remove.setOptions(optionsDel);
        remove.setInputFormat(data);
        data = Filter.useFilter(data, remove);
      }
      // setting class attribute if the data format does not provide this information
      // E.g., the XRFF format saves the class attribute information as well
      if (data.classIndex() == -1)

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