sumOfWeights[1] = totalSumOfWeightsW - weightsPerValue[i]; currVal = variance(m_Distribution, sumsSquares, sumOfWeights);
sumOfWeights[1] = totalSumOfWeightsW - weightsPerValue[i]; currVal = variance(m_Distribution, sumsSquares, sumOfWeights);
if (inst.value(index) < instPlusOne.value(index)) { currCutPoint = (inst.value(index) + instPlusOne.value(index)) / 2.0; currVal = variance(m_Distribution, sumsSquares, sumOfWeights); if (currVal < bestVal) { m_SplitPoint = currCutPoint;
if (inst.value(index) < instPlusOne.value(index)) { currCutPoint = (inst.value(index) + instPlusOne.value(index)) / 2.0; currVal = variance(m_Distribution, sumsSquares, sumOfWeights); if (currVal < bestVal) { m_SplitPoint = currCutPoint;