/// <summary> Constructor for pruneable tree structure. Stores reference
/// to associated training data at each node.
///
/// </summary>
/// <param name="toSelectLocModel">selection method for local splitting model
/// </param>
/// <param name="pruneTree">true if the tree is to be pruned
/// </param>
/// <param name="cf">the confidence factor for pruning
/// </param>
/// <exception cref="Exception">if something goes wrong
/// </exception>
public C45PruneableClassifierTree(ModelSelection toSelectLocModel, bool pruneTree, float cf, bool raiseTree, bool cleanup):base(toSelectLocModel)
{
m_pruneTheTree = pruneTree;
m_CF = cf;
m_subtreeRaising = raiseTree;
m_cleanup = cleanup;
}
/// <summary> Constructor. </summary>
public ClassifierTree(ModelSelection toSelectLocModel)
{
m_toSelectModel = toSelectLocModel;
}
