Examples of weka.core.Range

weka.core.Range
Class representing a range of cardinal numbers. The range is set by a string representation such as:
first-last 1,2,3,4
or combinations thereof. The range is internally converted from 1-based to 0-based (so methods that set or get numbers not in string format should use 0-based numbers). @author Len Trigg (trigg@cs.waikato.ac.nz) @version $Revision: 1.18 $

  }


  /** Default constructor */
  public RemoveWithValues() {


      m_Values = new Range("first-last");
      m_Values.setInvert(true);
  }

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   * Set the value of m_SelectedRange.
   *
   * @param newSelectedRange Value to assign to m_SelectedRange.
   */
  public void setSelectedRange(String newSelectedRange) {
    m_SelectedRange = new Range(newSelectedRange);
  }

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      StringBuffer fields = new StringBuffer();
      for (int j = 0; j < inputFormat.numAttributes(); j++) { 
  if (inputFormat.attribute(j).type() == Attribute.STRING)
    fields.append((j + 1) + ",");
      }
      m_SelectedRange = new Range(fields.toString());
    }
    m_SelectedRange.setUpper(inputFormat.numAttributes() - 1);


    // Prevent the user from converting non-string fields
    StringBuffer fields = new StringBuffer();

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  public void setIgnoredAttributeIndices(String rangeList) {


    if ((rangeList == null) || (rangeList.length() == 0)) {
      m_IgnoreAttributesRange = null;
    } else {
      m_IgnoreAttributesRange = new Range();
      m_IgnoreAttributesRange.setRanges(rangeList);
    }
  }

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    setFilters((Filter[]) objects.toArray(new Filter[objects.size()]));
    
    objects = new Vector();
    while ((tmpStr = Utils.getOption("R", options)).length() != 0) {
      objects.add(new Range(tmpStr));
    }


    // at least one Range
    if (objects.size() == 0)
      objects.add(new Range("first-last"));


    setRanges((Range[]) objects.toArray(new Range[objects.size()]));
    
    // is number of filters the same as ranges?
    checkDimensions();

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    outputFormat.insertAttributeAt(newAttribute, m_Insert.getIndex());
    setOutputFormat(outputFormat);
    
    // all attributes, except index of added attribute
    // (otherwise the length of the input/output indices differ)
    Range atts = new Range(m_Insert.getSingleIndex());
    atts.setInvert(true);
    atts.setUpper(outputFormat.numAttributes() - 1);
    initOutputLocators(outputFormat, atts.getSelection());
    
    return true;
  }

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    boolean outputPredictionsText = m_OutputPredictionsTextBut.isSelected();
    if (m_OutputAdditionalAttributesText.getText().equals("")) {
      m_OutputAdditionalAttributesRange = null;
    }
    else {
      m_OutputAdditionalAttributesRange = new Range(m_OutputAdditionalAttributesText.getText());
      m_OutputAdditionalAttributesRange.setUpper(inst.numAttributes() - 1);
    }


    String grph = null;

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  /**
   * Constructor
   */
  public MakeIndicator() {


      m_ValIndex = new Range("last");
  }

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   * Set the range of attributes to process.
   *
   * @param value   the new range.
   */
  public void setSelectedRange(String value) {
    m_SelectedRange = new Range(value);
  }

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  public void setIgnoredAttributeIndices(String rangeList) {


    if ((rangeList == null) || (rangeList.length() == 0)) {
      m_ignoreAttributesRange = null;
    } else {
      m_ignoreAttributesRange = new Range();
      m_ignoreAttributesRange.setRanges(rangeList);
    }
  }

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weka.attributeSelection.BestFirst

weka.attributeSelection.FCBFSearch

weka.attributeSelection.GeneticSearch

weka.attributeSelection.GreedyStepwise

weka.attributeSelection.LinearForwardSelection

weka.attributeSelection.RandomSearch

weka.attributeSelection.Ranker

weka.classifiers.Evaluation

weka.classifiers.evaluation.output.prediction.AbstractOutput

weka.classifiers.meta.MultiClassClassifier

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