12 #ifndef MLPACK_METHODS_FASTMKS_FASTMKS_MODEL_HPP 13 #define MLPACK_METHODS_FASTMKS_FASTMKS_MODEL_HPP 75 template<
typename TKernelType>
77 arma::mat&& referenceData,
79 const bool singleMode,
111 const arma::mat& querySet,
113 arma::Mat<size_t>& indices,
128 arma::Mat<size_t>& indices,
134 template<
typename Archive>
135 void serialize(Archive& ar,
const uint32_t );
157 template<
typename FastMKSType>
160 const arma::mat& querySet,
162 arma::Mat<size_t>& indices,
170 #include "fastmks_model_impl.hpp"
Linear algebra utility functions, generally performed on matrices or vectors.
The core includes that mlpack expects; standard C++ includes and Armadillo.
bool Naive() const
Get whether or not naive search is used.
int KernelType() const
Get the kernel type.
void serialize(Archive &ar, const uint32_t)
Serialize the model.
~FastMKSModel()
Clean memory.
void BuildModel(util::Timers &timers, arma::mat &&referenceData, TKernelType &kernel, const bool singleMode, const bool naive, const double base)
Build the model on the given reference set.
A utility struct to contain all the possible FastMKS models, for use by the mlpack_fastmks program...
void Search(util::Timers &timers, const arma::mat &querySet, const size_t k, arma::Mat< size_t > &indices, arma::mat &kernels, const double base)
Search with a different query set.
bool SingleMode() const
Get whether or not single-tree search is used.
FastMKSModel(const int kernelType=LINEAR_KERNEL)
Create the FastMKSModel with the given kernel type.
KernelTypes
A list of all the kernels we support.
An implementation of fast exact max-kernel search.
FastMKSModel & operator=(const FastMKSModel &other)
Copy assignment operator.
int & KernelType()
Modify the kernel type.