Beispiel #1
0
  /**
   * Classify a given instance using the best generated LinearRegression Classifier.
   *
   * @param instance instance to be classified
   * @return class value
   * @throws Exception if an error occurs
   */
  public double classifyInstance(Instance instance) throws Exception {

    Instance transformedInstance = instance;
    m_TransformFilter.input(transformedInstance);
    transformedInstance = m_TransformFilter.output();
    m_MissingFilter.input(transformedInstance);
    transformedInstance = m_MissingFilter.output();

    return m_ls.classifyInstance(transformedInstance);
  } // classifyInstance
Beispiel #2
0
  /**
   * Cleans up data
   *
   * @param data data to be cleaned up
   * @throws Exception if an error occurs
   */
  private void cleanUpData(Instances data) throws Exception {

    m_Data = data;
    m_TransformFilter = new NominalToBinary();
    m_TransformFilter.setInputFormat(m_Data);
    m_Data = Filter.useFilter(m_Data, m_TransformFilter);
    m_MissingFilter = new ReplaceMissingValues();
    m_MissingFilter.setInputFormat(m_Data);
    m_Data = Filter.useFilter(m_Data, m_MissingFilter);
    m_Data.deleteWithMissingClass();
  }