#include <mlpack/prereqs.hpp>#include <mlpack/methods/lars/lars.hpp>#include "nothing_initializer.hpp"#include "data_dependent_random_initializer.hpp"#include "random_initializer.hpp"#include "sparse_coding_impl.hpp"
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Classes | |
| class | mlpack::sparse_coding::SparseCoding |
| An implementation of Sparse Coding with Dictionary Learning that achieves sparsity via an l1-norm regularizer on the codes (LASSO) or an (l1+l2)-norm regularizer on the codes (the Elastic Net). More... | |
Namespaces | |
| mlpack | |
| Linear algebra utility functions, generally performed on matrices or vectors. | |
Detailed Description
Definition of the SparseCoding class, which performs L1 (LASSO) or L1+L2 (Elastic Net)-regularized sparse coding with dictionary learning
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.
