List of insertAttributeAt() Examples

Examples of insertAttributeAt()

sax.helpers.AttributeListImpl.insertAttributeAt()
Inserts an attribute.
sax.helpers.AttributesImpl.insertAttributeAt()
Inserts an attribute.
weka.core.Instance.insertAttributeAt()
Inserts an attribute at the given position (0 to numAttributes()). Only succeeds if the instance does not have access to any dataset because otherwise inconsistencies could be introduced. @param position the attribute's position @throws RuntimeException if the instance has accesss to adataset @throws IllegalArgumentException if the position is out of range
weka.core.Instances.insertAttributeAt()
Inserts an attribute at the given position (0 to numAttributes()) and sets all values to be missing. Shallow copies the attribute before it is inserted, and performs a deep copy of the existing attribute information. @param att the attribute to be inserted @param position the attribute's position (position starts with 0) @throws IllegalArgumentException if the given index is out of range

Examples of weka.core.Instances.insertAttributeAt()


    if ((m_Insert.getIndex() < 0) || 
  (m_Insert.getIndex() > getInputFormat().numAttributes())) {
      throw new IllegalArgumentException("Index out of range");
    }
    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());

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Examples of weka.core.Instances.insertAttributeAt()

    Attribute classAttribute = (Attribute) instanceInfo.classAttribute().copy();
    Attribute bagIndex = (Attribute) instanceInfo.attribute(0).copy();


    /* create a new output format (propositional instance format) */
    Instances newData = instanceInfo.attribute(1).relation().stringFreeStructure();
    newData.insertAttributeAt(bagIndex, 0);
    newData.insertAttributeAt(classAttribute, newData.numAttributes());
    newData.setClassIndex(newData.numAttributes() - 1);


    super.setOutputFormat(newData.stringFreeStructure());

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Examples of weka.core.Instances.insertAttributeAt()

    Attribute bagIndex = (Attribute) instanceInfo.attribute(0).copy();


    /* create a new output format (propositional instance format) */
    Instances newData = instanceInfo.attribute(1).relation().stringFreeStructure();
    newData.insertAttributeAt(bagIndex, 0);
    newData.insertAttributeAt(classAttribute, newData.numAttributes());
    newData.setClassIndex(newData.numAttributes() - 1);


    super.setOutputFormat(newData.stringFreeStructure());


    m_BagStringAtts = new StringLocator(instanceInfo.attribute(1).relation().stringFreeStructure());

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Examples of weka.core.Instances.insertAttributeAt()

    } else if (m_attributeName.compareTo("expression") != 0) {
      newAttribute = new Attribute(m_attributeName);
    } else {
      newAttribute = new Attribute(m_infixExpression);
    }
    outputFormat.insertAttributeAt(newAttribute, 
           instanceInfo.numAttributes());
    setOutputFormat(outputFormat);
    return true;
  }

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Examples of weka.core.Instances.insertAttributeAt()

    /* Create a binary attribute */
    FastVector binary_values = new FastVector(2);
    binary_values.addElement("otherClasses");
    binary_values.addElement("defClass");
    Attribute attr = new Attribute ("newClass", binary_values);
    data.insertAttributeAt(attr, index);  
    data.setClassIndex(index);                 // The new class label


    /* Partition the data into bags according to their original class values */
    Instances[] dataByClass = new Instances[numCl];
    for(int i=0; i < numCl; i++)

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Examples of weka.core.Instances.insertAttributeAt()

    
    // 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
    int numInstances = train.numInstances();

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Examples of weka.core.Instances.insertAttributeAt()

                FastVector values = new FastVector();
                values.addElement("0");
                values.addElement("1");
                Attribute a = new Attribute(instances.attribute(iAttribute).name(), (FastVector) values);
                instances.deleteAttributeAt(iAttribute);
                instances.insertAttributeAt(a,iAttribute);
            }
        }
        
        for (int iInstance = 0; iInstance < bayesNet.m_Instances.numInstances(); iInstance++) {
            Instance instanceOrig = bayesNet.m_Instances.instance(iInstance);

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Examples of weka.core.Instances.insertAttributeAt()

  Instances numericData = new Instances(data);
  
  int classIndex = numericData.classIndex();
  numericData.setClassIndex(-1);
  numericData.deleteAttributeAt(classIndex);
  numericData.insertAttributeAt(new Attribute("'pseudo class'"), classIndex);
  numericData.setClassIndex(classIndex);
  return numericData;
    }
    
    /**

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Examples of weka.core.Instances.insertAttributeAt()

      Instances filtered = new Instances(toFilter, 0); 
      FastVector nominal_values = new FastVector(m_Clusterer.numberOfClusters());
      for (int i=0; i<m_Clusterer.numberOfClusters(); i++) {
  nominal_values.addElement("cluster" + (i+1)); 
      }
      filtered.insertAttributeAt(new Attribute("cluster", nominal_values),
    filtered.numAttributes());


      setOutputFormat(filtered);
    }

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Examples of weka.core.Instances.insertAttributeAt()

    } else if (m_attributeName.compareTo("expression") != 0) {
      newAttribute = new Attribute(m_attributeName);
    } else {
      newAttribute = new Attribute(m_infixExpression);
    }
    outputFormat.insertAttributeAt(newAttribute, 
           instanceInfo.numAttributes());
    setOutputFormat(outputFormat);
    return true;
  }

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