SpillTree<MetricType, StatisticType, MatType, HyperplaneType, SplitType>::
SpillTree(const SpillTree& other) :
left(NULL),
right(NULL),
parent(other.parent),
count(other.count),
pointsIndex(NULL),
overlappingNode(other.overlappingNode),
hyperplane(other.hyperplane),
bound(other.bound),
stat(other.stat),
parentDistance(other.parentDistance),
furthestDescendantDistance(other.furthestDescendantDistance),
// Copy matrix, but only if we are the root and the other tree has its own
// copy of the dataset.
dataset((other.parent == NULL && other.localDataset) ?
new MatType(*other.dataset) : other.dataset),
localDataset(other.parent == NULL && other.localDataset)
{
// Create left and right children (if any).
if (other.Left())
{
left = new SpillTree(*other.Left());
left->Parent() = this; // Set parent to this, not other tree.
}
if (other.Right())
{
right = new SpillTree(*other.Right());
right->Parent() = this; // Set parent to this, not other tree.
}
// If vector of indexes, copy it.
if (other.pointsIndex)
pointsIndex = new arma::Col<size_t>(*other.pointsIndex);
// Propagate matrix, but only if we are the root.
if (parent == NULL && localDataset)
{
std::queue<SpillTree*> queue;
if (left)
queue.push(left);
if (right)
queue.push(right);
while (!queue.empty())
{
SpillTree* node = queue.front();
queue.pop();
node->dataset = dataset;
if (node->left)
queue.push(node->left);
if (node->right)
queue.push(node->right);
}
}
}
void SpillTree<MetricType, StatisticType, MatType, HyperplaneType, SplitType>::
Serialize(Archive& ar, const unsigned int /* version */)
{
using data::CreateNVP;
// If we're loading, and we have children, they need to be deleted.
if (Archive::is_loading::value)
{
if (left)
delete left;
if (right)
delete right;
if (!parent && localDataset)
delete dataset;
}
ar & CreateNVP(parent, "parent");
ar & CreateNVP(count, "count");
ar & CreateNVP(pointsIndex, "pointsIndex");
ar & CreateNVP(overlappingNode, "overlappingNode");
ar & CreateNVP(hyperplane, "hyperplane");
ar & CreateNVP(bound, "bound");
ar & CreateNVP(stat, "statistic");
ar & CreateNVP(parentDistance, "parentDistance");
ar & CreateNVP(furthestDescendantDistance, "furthestDescendantDistance");
ar & CreateNVP(dataset, "dataset");
if (Archive::is_loading::value && parent == NULL)
localDataset = true;
// Save children last; otherwise boost::serialization gets confused.
ar & CreateNVP(left, "left");
ar & CreateNVP(right, "right");
// Due to quirks of boost::serialization, if a tree is saved as an object and
// not a pointer, the first level of the tree will be duplicated on load.
// Therefore, if we are the root of the tree, then we need to make sure our
// children's parent links are correct, and delete the duplicated node if
// necessary.
if (Archive::is_loading::value)
{
// Get parents of left and right children, or, NULL, if they don't exist.
SpillTree* leftParent = left ? left->Parent() : NULL;
SpillTree* rightParent = right ? right->Parent() : NULL;
// Reassign parent links if necessary.
if (left && left->Parent() != this)
left->Parent() = this;
if (right && right->Parent() != this)
right->Parent() = this;
// Do we need to delete the left parent?
if (leftParent != NULL && leftParent != this)
{
// Sever the duplicate parent's children. Ensure we don't delete the
// dataset, by faking the duplicated parent's parent (that is, we need to
// set the parent to something non-NULL; 'this' works).
leftParent->Parent() = this;
leftParent->Left() = NULL;
leftParent->Right() = NULL;
delete leftParent;
}
// Do we need to delete the right parent?
if (rightParent != NULL && rightParent != this && rightParent != leftParent)
{
// Sever the duplicate parent's children, in the same way as above.
rightParent->Parent() = this;
rightParent->Left() = NULL;
rightParent->Right() = NULL;
delete rightParent;
}
}
}
void SpillTree<MetricType, StatisticType, MatType, HyperplaneType, SplitType>::
SpillSingleTreeTraverser<RuleType, Defeatist>::Traverse(
const size_t queryIndex,
SpillTree<MetricType, StatisticType, MatType, HyperplaneType, SplitType>&
referenceNode)
{
// If we are a leaf, run the base case as necessary.
if (referenceNode.IsLeaf())
{
for (size_t i = 0; i < referenceNode.NumPoints(); ++i)
rule.BaseCase(queryIndex, referenceNode.Point(i));
}
else
{
if (Defeatist && referenceNode.Overlap())
{
// If referenceNode is a overlapping node we do defeatist search.
size_t bestChild = rule.GetBestChild(queryIndex, referenceNode);
Traverse(queryIndex, referenceNode.Child(bestChild));
++numPrunes;
}
else
{
// If either score is DBL_MAX, we do not recurse into that node.
double leftScore = rule.Score(queryIndex, *referenceNode.Left());
double rightScore = rule.Score(queryIndex, *referenceNode.Right());
if (leftScore < rightScore)
{
// Recurse to the left.
Traverse(queryIndex, *referenceNode.Left());
// Is it still valid to recurse to the right?
rightScore = rule.Rescore(queryIndex, *referenceNode.Right(),
rightScore);
if (rightScore != DBL_MAX)
Traverse(queryIndex, *referenceNode.Right()); // Recurse to the right.
else
++numPrunes;
}
else if (rightScore < leftScore)
{
// Recurse to the right.
Traverse(queryIndex, *referenceNode.Right());
// Is it still valid to recurse to the left?
leftScore = rule.Rescore(queryIndex, *referenceNode.Left(), leftScore);
if (leftScore != DBL_MAX)
Traverse(queryIndex, *referenceNode.Left()); // Recurse to the left.
else
++numPrunes;
}
else // leftScore is equal to rightScore.
{
if (leftScore == DBL_MAX)
{
numPrunes += 2; // Pruned both left and right.
}
else
{
// Choose the left first.
Traverse(queryIndex, *referenceNode.Left());
// Is it still valid to recurse to the right?
rightScore = rule.Rescore(queryIndex, *referenceNode.Right(),
rightScore);
if (rightScore != DBL_MAX)
Traverse(queryIndex, *referenceNode.Right());
else
++numPrunes;
}
}
}
}
}