List of resampleWithWeights() Examples

Examples of resampleWithWeights()

weka.core.Instances.resampleWithWeights()
Creates a new dataset of the same size using random sampling with replacement according to the current instance weights. The weights of the instances in the new dataset are set to one. @param random a random number generator @return the new dataset

Examples of weka.core.Instances.resampleWithWeights()

      double[] weights = new double[trainData.numInstances()];
      for (int i = 0; i < weights.length; i++) {
  weights[i] = trainData.instance(i).weight();
      }
      do {
  sample = trainData.resampleWithWeights(randomInstance, weights);


  // Build and evaluate classifier
  m_Classifiers[m_NumIterationsPerformed].buildClassifier(sample);
  evaluation = new Evaluation(data);
  evaluation.evaluateModel(m_Classifiers[m_NumIterationsPerformed],

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Examples of weka.core.Instances.resampleWithWeights()

      double[] weights = new double[trainData.numInstances()];
      for (int i = 0; i < weights.length; i++) {
  weights[i] = trainData.instance(i).weight();
      }
      do {
  sample = trainData.resampleWithWeights(randomInstance, weights);


  // Build and evaluate classifier
  m_Classifiers[m_NumIterationsPerformed].buildClassifier(sample);
  evaluation = new Evaluation(data);
  evaluation.evaluateModel(m_Classifiers[m_NumIterationsPerformed],

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