/// <summary> Sets up the priors for numeric class attributes from the
/// training class values that have been seen so far.
/// </summary>
protected internal virtual void setNumericPriorsFromBuffer()
{
double numPrecision = 0.01; // Default value
if (m_NumTrainClassVals > 1)
{
double[] temp = new double[m_NumTrainClassVals];
Array.Copy(m_TrainClassVals, 0, temp, 0, m_NumTrainClassVals);
int[] index = Utils.sort(temp);
double lastVal = temp[index[0]];
double deltaSum = 0;
int distinct = 0;
for (int i = 1; i < temp.Length; i++)
{
double current = temp[index[i]];
if (current != lastVal)
{
deltaSum += current - lastVal;
lastVal = current;
distinct++;
}
}
if (distinct > 0)
{
numPrecision = deltaSum / distinct;
}
}
m_PriorErrorEstimator = new KernelEstimator(numPrecision);
m_ErrorEstimator = new KernelEstimator(numPrecision);
m_ClassPriors[0] = m_ClassPriorsSum = 0;
for (int i = 0; i < m_NumTrainClassVals; i++)
{
m_ClassPriors[0] += m_TrainClassVals[i] * m_TrainClassWeights[i];
m_ClassPriorsSum += m_TrainClassWeights[i];
m_PriorErrorEstimator.addValue(m_TrainClassVals[i], m_TrainClassWeights[i]);
}
}