Examples of weka.estimators.UnivariateKernelEstimator

weka.estimators.UnivariateKernelEstimator
Simple weighted kernel density estimator. @author Eibe Frank (eibe@cs.waikato.ac.nz) @version $Revision: 5680 $

   * Sets up the priors for numeric class attributes from the
   * training class values that have been seen so far.
   */
  protected void setNumericPriorsFromBuffer() {


    m_PriorEstimator = new UnivariateKernelEstimator();
    for (int i = 0; i < m_NumTrainClassVals; i++) {
      m_PriorEstimator.addValue(m_TrainClassVals[i], m_TrainClassWeights[i]);
    }
  }

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   * Sets up the priors for numeric class attributes from the
   * training class values that have been seen so far.
   */
  protected void setNumericPriorsFromBuffer() {


    m_PriorEstimator = new UnivariateKernelEstimator();
    for (int i = 0; i < m_NumTrainClassVals; i++) {
      m_PriorEstimator.addValue(m_TrainClassVals[i], m_TrainClassWeights[i]);
    }
  }

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    // Initialize estimator
    UnivariateDensityEstimator e;
    
    if (m_estimatorType == ESTIMATOR_KERNEL) {
      e = new UnivariateKernelEstimator();
    } else if (m_estimatorType == ESTIMATOR_NORMAL) {
      e = new UnivariateNormalEstimator();
    } else {
      e = new UnivariateEqualFrequencyHistogramEstimator();

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Related Classes of weka.estimators.UnivariateKernelEstimator

weka.classifiers.Evaluation

weka.classifiers.meta.RegressionByDiscretization

java.util.Random

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