Aakash-kaushik/mlpack/orthogonal__regularizer_8hpp_source.html

 #ifndef MLPACK_METHODS_ANN_ORTHOGONAL_REGULARIZER_HPP
 #define MLPACK_METHODS_ANN_ORTHOGONAL_REGULARIZER_HPP

 #include <mlpack/prereqs.hpp>

 namespace mlpack {
 namespace ann {

 class OrthogonalRegularizer
 {
  public:
   OrthogonalRegularizer(double factor = 1.0);

   template<typename MatType>
   void Evaluate(const MatType& weight, MatType& gradient);

   template<typename Archive>
   void serialize(Archive& ar, const uint32_t /* version */);

   double factor;
 };

 } // namespace ann
 } // namespace mlpack

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

 #endif
mlpack::ann::OrthogonalRegularizer
Implementation of the OrthogonalRegularizer.
Definition: orthogonal_regularizer.hpp:38

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

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

mlpack::ann::OrthogonalRegularizer::factor
double factor
The constant for the regularization.
Definition: orthogonal_regularizer.hpp:63

orthogonal_regularizer_impl.hpp

mlpack::ann::OrthogonalRegularizer::OrthogonalRegularizer
OrthogonalRegularizer(double factor=1.0)
Create the regularizer object.
Definition: orthogonal_regularizer_impl.hpp:21

mlpack::ann::OrthogonalRegularizer::serialize
void serialize(Archive &ar, const uint32_t)
Serialize the regularizer (nothing to do).
Definition: orthogonal_regularizer_impl.hpp:57

mlpack::ann::OrthogonalRegularizer::Evaluate
void Evaluate(const MatType &weight, MatType &gradient)
Calculate the gradient for regularization.
Definition: orthogonal_regularizer_impl.hpp:28