internal RecursiveRegressionTree(InternalRegressionTree t, DocumentPartitioning p, int n)
: base(t, p, n)
{
_weightedOutput = double.NaN;
_nodeCount = int.MaxValue;
if (!IsLeaf)
{
LteNode = new RecursiveRegressionTree(Tree, Partitioning, Tree.GetLteChildForNode(NodeIndex));
GtNode = new RecursiveRegressionTree(Tree, Partitioning, Tree.GetGtChildForNode(NodeIndex));
}
}
/// <summary>
/// Regularize a regression tree with smoothing paramter alpha.
/// </summary>
protected virtual void SmoothTree(InternalRegressionTree tree, double smoothing)
{
if (smoothing == 0.0)
{
return;
}
//Create recursive structure of the tree starting from root node
var regularizer = new RecursiveRegressionTree(tree, TreeLearner.Partitioning, 0);
//Perform bottom-up computation of weighted interior node output
double rootNodeOutput = regularizer.GetWeightedOutput();
//followed by top-down propagation of parent's output value
regularizer.SmoothLeafOutputs(rootNodeOutput, smoothing);
}