data_dependent_random_initializer.hpp
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1 
12 #ifndef MLPACK_METHODS_SPARSE_CODING_DATA_DEPENDENT_RANDOM_INITIALIZER_HPP
13 #define MLPACK_METHODS_SPARSE_CODING_DATA_DEPENDENT_RANDOM_INITIALIZER_HPP
14 
15 #include <mlpack/prereqs.hpp>
17 
18 namespace mlpack {
19 namespace sparse_coding {
20 
27 {
28  public:
38  static void Initialize(const arma::mat& data,
39  const size_t atoms,
40  arma::mat& dictionary)
41  {
42  // Set the size of the dictionary.
43  dictionary.set_size(data.n_rows, atoms);
44 
45  // Create each atom.
46  for (size_t i = 0; i < atoms; ++i)
47  {
48  // Add three atoms together.
49  dictionary.col(i) = (data.col(math::RandInt(data.n_cols)) +
50  data.col(math::RandInt(data.n_cols)) +
51  data.col(math::RandInt(data.n_cols)));
52 
53  // Now normalize the atom.
54  dictionary.col(i) /= norm(dictionary.col(i), 2);
55  }
56  }
57 };
58 
59 } // namespace sparse_coding
60 } // namespace mlpack
61 
62 #endif
.hpp
Definition: add_to_po.hpp:21
The core includes that mlpack expects; standard C++ includes and Armadillo.
static void Initialize(const arma::mat &data, const size_t atoms, arma::mat &dictionary)
Initialize the dictionary by adding together three random observations from the data, and then normalizing the atom.
A data-dependent random dictionary initializer for SparseCoding.
Miscellaneous math random-related routines.
int RandInt(const int hiExclusive)
Generates a uniform random integer.
Definition: random.hpp:105