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fastmks_rules.hpp
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1 
12 #ifndef MLPACK_METHODS_FASTMKS_FASTMKS_RULES_HPP
13 #define MLPACK_METHODS_FASTMKS_FASTMKS_RULES_HPP
14 
15 #include <mlpack/prereqs.hpp>
19 #include <boost/heap/priority_queue.hpp>
20 
21 namespace mlpack {
22 namespace fastmks {
23 
33 template<typename KernelType, typename TreeType>
35 {
36  public:
46  FastMKSRules(const typename TreeType::Mat& referenceSet,
47  const typename TreeType::Mat& querySet,
48  const size_t k,
49  KernelType& kernel);
50 
57  void GetResults(arma::Mat<size_t>& indices, arma::mat& products);
58 
60  double BaseCase(const size_t queryIndex, const size_t referenceIndex);
61 
70  double Score(const size_t queryIndex, TreeType& referenceNode);
71 
80  double Score(TreeType& queryNode, TreeType& referenceNode);
81 
93  double Rescore(const size_t queryIndex,
94  TreeType& referenceNode,
95  const double oldScore) const;
96 
108  double Rescore(TreeType& queryNode,
109  TreeType& referenceNode,
110  const double oldScore) const;
111 
113  size_t BaseCases() const { return baseCases; }
115  size_t& BaseCases() { return baseCases; }
116 
118  size_t Scores() const { return scores; }
120  size_t& Scores() { return scores; }
121 
123 
124  const TraversalInfoType& TraversalInfo() const { return traversalInfo; }
125  TraversalInfoType& TraversalInfo() { return traversalInfo; }
126 
127  private:
129  const typename TreeType::Mat& referenceSet;
131  const typename TreeType::Mat& querySet;
132 
134  typedef std::pair<double, size_t> Candidate;
135 
137  struct CandidateCmp {
138  bool operator()(const Candidate& c1, const Candidate& c2) const
139  {
140  return c1.first > c2.first;
141  };
142  };
143 
148  typedef boost::heap::priority_queue<Candidate,
149  boost::heap::compare<CandidateCmp>> CandidateList;
150 
152  std::vector<CandidateList> candidates;
153 
155  const size_t k;
156 
158  arma::vec queryKernels;
160  arma::vec referenceKernels;
161 
163  KernelType& kernel;
164 
170  double lastKernel;
171 
173  double CalculateBound(TreeType& queryNode) const;
174 
182  void InsertNeighbor(const size_t queryIndex,
183  const size_t index,
184  const double product);
185 
187  size_t baseCases;
189  size_t scores;
190 
191  TraversalInfoType traversalInfo;
192 };
193 
194 } // namespace fastmks
195 } // namespace mlpack
196 
197 // Include implementation.
198 #include "fastmks_rules_impl.hpp"
199 
200 #endif
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.
Definition: binarize.hpp:18
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.
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.