13#ifndef MLPACK_METHODS_REGULARIZED_SVD_REGULARIZED_SVD_HPP
14#define MLPACK_METHODS_REGULARIZED_SVD_REGULARIZED_SVD_HPP
17#include <ensmallen.hpp>
57template<
typename OptimizerType = ens::StandardSGD>
72 const double alpha = 0.01,
73 const double lambda = 0.02);
83 void Apply(
const arma::mat& data,
101#include "regularized_svd_impl.hpp"
Regularized SVD is a matrix factorization technique that seeks to reduce the error on the training se...
void Apply(const arma::mat &data, const size_t rank, arma::mat &u, arma::mat &v)
Obtains the user and item matrices using the provided data and rank.
RegularizedSVD(const size_t iterations=10, const double alpha=0.01, const double lambda=0.02)
Constructor for Regularized SVD.
Linear algebra utility functions, generally performed on matrices or vectors.
The core includes that mlpack expects; standard C++ includes and Armadillo.