Package weka.core

Examples of weka.core.NoSupportForMissingValuesException


      throw new Exception("Pace Regression: No model built yet.");
    }
   
    // check for missing data and throw exception if some are found
    if (checkForMissing(instance, m_Model)) {
      throw new NoSupportForMissingValuesException("Can't handle missing values!");
    }

    // Calculate the dependent variable from the regression model
    return regressionPrediction(instance,
        m_Coefficients);
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   */
  public double classifyInstance(Instance instance)
    throws NoSupportForMissingValuesException {

    if (instance.hasMissingValue()) {
      throw new NoSupportForMissingValuesException("Id3: no missing values, "
                                                   + "please.");
    }
    if (m_Attribute == null) {
      return m_ClassValue;
    } else {
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   */
  public double[] distributionForInstance(Instance instance)
    throws NoSupportForMissingValuesException {

    if (instance.hasMissingValue()) {
      throw new NoSupportForMissingValuesException("Id3: no missing values, "
                                                   + "please.");
    }
    if (m_Attribute == null) {
      return m_Distribution;
    } else {
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      throw new Exception("Pace Regression: No model built yet.");
    }
   
    // check for missing data and throw exception if some are found
    if (checkForMissing(instance, m_Model)) {
      throw new NoSupportForMissingValuesException("Can't handle missing values!");
    }

    // Calculate the dependent variable from the regression model
    return regressionPrediction(instance,
        m_Coefficients);
View Full Code Here

   */
  public double classifyInstance(Instance instance)
    throws NoSupportForMissingValuesException {

    if (instance.hasMissingValue()) {
      throw new NoSupportForMissingValuesException("Id3: no missing values, "
                                                   + "please.");
    }
    if (m_Attribute == null) {
      return m_ClassValue;
    } else {
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   */
  public double[] distributionForInstance(Instance instance)
    throws NoSupportForMissingValuesException {

    if (instance.hasMissingValue()) {
      throw new NoSupportForMissingValuesException("Id3: no missing values, "
                                                   + "please.");
    }
    if (m_Attribute == null) {
      return m_Distribution;
    } else {
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Related Classes of weka.core.NoSupportForMissingValuesException

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