#include <mlpack/prereqs.hpp>#include <ensmallen.hpp>#include <mlpack/methods/cf/cf.hpp>#include "regularized_svd_function.hpp"#include "regularized_svd_impl.hpp"
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Classes | |
| class | mlpack::svd::RegularizedSVD< OptimizerType > |
| Regularized SVD is a matrix factorization technique that seeks to reduce the error on the training set, that is on the examples for which the ratings have been provided by the users. More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
An implementation of Regularized SVD.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
