mlpack  3.4.2
bias_svd.hpp
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1 
14 #ifndef MLPACK_METHODS_BIAS_SVD_BIAS_SVD_HPP
15 #define MLPACK_METHODS_BIAS_SVD_BIAS_SVD_HPP
16 
17 #include <mlpack/prereqs.hpp>
18 #include <ensmallen.hpp>
19 #include <mlpack/methods/cf/cf.hpp>
20 
21 #include "bias_svd_function.hpp"
22 
23 namespace mlpack {
24 namespace svd {
25 
56 template<typename OptimizerType = ens::StandardSGD>
57 class BiasSVD
58 {
59  public:
68  BiasSVD(const size_t iterations = 10,
69  const double alpha = 0.02,
70  const double lambda = 0.05);
71 
82  void Apply(const arma::mat& data,
83  const size_t rank,
84  arma::mat& u,
85  arma::mat& v,
86  arma::vec& p,
87  arma::vec& q);
88 
89  private:
91  size_t iterations;
93  double alpha;
95  double lambda;
96 };
97 
98 } // namespace svd
99 } // namespace mlpack
100 
101 // Include implementation.
102 #include "bias_svd_impl.hpp"
103 
104 #endif
mlpack::svd::BiasSVD
Bias SVD is an improvement on Regularized SVD which is a matrix factorization techniques.
Definition: bias_svd.hpp:58
prereqs.hpp
The core includes that mlpack expects; standard C++ includes and Armadillo.
bias_svd_function.hpp
mlpack
Linear algebra utility functions, generally performed on matrices or vectors.
Definition: add_to_cli11.hpp:21
cf.hpp
mlpack::svd::BiasSVD::Apply
void Apply(const arma::mat &data, const size_t rank, arma::mat &u, arma::mat &v, arma::vec &p, arma::vec &q)
Trains the model and obtains user/item matrices and user/item bias.
mlpack::svd::BiasSVD::BiasSVD
BiasSVD(const size_t iterations=10, const double alpha=0.02, const double lambda=0.05)
Constructor of Bias SVD.
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