Aakash-kaushik/mlpack/bias__svd_8hpp_source.html

 #ifndef MLPACK_METHODS_BIAS_SVD_BIAS_SVD_HPP
 #define MLPACK_METHODS_BIAS_SVD_BIAS_SVD_HPP

 #include <mlpack/prereqs.hpp>
 #include <ensmallen.hpp>
 #include <mlpack/methods/cf/cf.hpp>

 #include "bias_svd_function.hpp"

 namespace mlpack {
 namespace svd {

 template<typename OptimizerType = ens::StandardSGD>
 class BiasSVD
 {
  public:
   BiasSVD(const size_t iterations = 10,
           const double alpha = 0.02,
           const double lambda = 0.05);

   void Apply(const arma::mat& data,
              const size_t rank,
              arma::mat& u,
              arma::mat& v,
              arma::vec& p,
              arma::vec& q);

  private:
   size_t iterations;
   double alpha;
   double lambda;
 };

 } // namespace svd
 } // namespace mlpack

 // Include implementation.
 #include "bias_svd_impl.hpp"

 #endif
mlpack::svd::BiasSVD
Bias SVD is an improvement on Regularized SVD which is a matrix factorization techniques.
Definition: bias_svd.hpp:57

data

mlpack
Linear algebra utility functions, generally performed on matrices or vectors.
Definition: cv.hpp:1

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.
Definition: bias_svd_impl.hpp:32

prereqs.hpp
The core includes that mlpack expects; standard C++ includes and Armadillo.

mlpack::svd::BiasSVD::BiasSVD
BiasSVD(const size_t iterations=10, const double alpha=0.02, const double lambda=0.05)
Constructor of Bias SVD.
Definition: bias_svd_impl.hpp:21

bias_svd_impl.hpp

bias_svd_function.hpp