12 #ifndef MLPACK_METHODS_FASTMKS_FASTMKS_RULES_HPP 13 #define MLPACK_METHODS_FASTMKS_FASTMKS_RULES_HPP 19 #include <boost/heap/priority_queue.hpp> 33 template<
typename KernelType,
typename TreeType>
47 const typename TreeType::Mat&
querySet,
57 void GetResults(arma::Mat<size_t>& indices, arma::mat& products);
60 double BaseCase(
const size_t queryIndex,
const size_t referenceIndex);
70 double Score(
const size_t queryIndex, TreeType& referenceNode);
80 double Score(TreeType& queryNode, TreeType& referenceNode);
93 double Rescore(
const size_t queryIndex,
94 TreeType& referenceNode,
95 const double oldScore)
const;
108 double Rescore(TreeType& queryNode,
109 TreeType& referenceNode,
110 const double oldScore)
const;
138 bool operator()(
const Candidate& c1,
const Candidate& c2)
const 140 return c1.first > c2.first;
148 typedef boost::heap::priority_queue<
Candidate,
184 const double product);
198 #include "fastmks_rules_impl.hpp" const TreeType::Mat & referenceSet
The reference dataset.
double BaseCase(const size_t queryIndex, const size_t referenceIndex)
Compute the base case (kernel value) between two points.
tree::TraversalInfo< TreeType > TraversalInfoType
const TraversalInfoType & TraversalInfo() const
The TraversalInfo class holds traversal information which is used in dual-tree (and single-tree) trav...
size_t Scores() const
Get the number of times Score() was called.
void GetResults(arma::Mat< size_t > &indices, arma::mat &products)
Store the list of candidates for each query point in the given matrices.
Linear algebra utility functions, generally performed on matrices or vectors.
The core includes that mlpack expects; standard C++ includes and Armadillo.
void InsertNeighbor(const size_t queryIndex, const size_t index, const double product)
Helper function to insert a point into the list of candidate points.
boost::heap::priority_queue< Candidate, boost::heap::compare< CandidateCmp > > CandidateList
Use a min heap to represent the list of candidate points.
arma::vec queryKernels
Cached query set self-kernels (|| q || for each q).
size_t & BaseCases()
Modify the number of times BaseCase() was called.
double lastKernel
The last kernel evaluation resulting from BaseCase().
size_t & Scores()
Modify the number of times Score() was called.
const TreeType::Mat & querySet
The query dataset.
arma::vec referenceKernels
Cached reference set self-kernels (|| r || for each r).
FastMKSRules(const typename TreeType::Mat &referenceSet, const typename TreeType::Mat &querySet, const size_t k, KernelType &kernel)
Construct the FastMKSRules object.
const size_t k
Number of points to search for.
double Score(const size_t queryIndex, TreeType &referenceNode)
Get the score for recursion order.
std::vector< CandidateList > candidates
Set of candidates for each point.
TraversalInfoType & TraversalInfo()
double Rescore(const size_t queryIndex, TreeType &referenceNode, const double oldScore) const
Re-evaluate the score for recursion order.
size_t baseCases
For benchmarking.
The FastMKSRules class is a template helper class used by FastMKS class when performing exact max-ker...
std::pair< double, size_t > Candidate
Candidate represents a possible candidate point (value, index).
bool operator()(const Candidate &c1, const Candidate &c2) const
size_t lastReferenceIndex
The last reference index BaseCase() was called with.
size_t lastQueryIndex
The last query index BaseCase() was called with.
size_t BaseCases() const
Get the number of times BaseCase() was called.
KernelType & kernel
The instantiated kernel.
TraversalInfoType traversalInfo
double CalculateBound(TreeType &queryNode) const
Calculate the bound for a given query node.
Compare two candidates based on the value.
size_t scores
For benchmarking.