Aakash-kaushik/mlpack/lregularizer_8hpp_source.html

 #ifndef MLPACK_METHODS_ANN_LREGULARIZER_HPP
 #define MLPACK_METHODS_ANN_LREGULARIZER_HPP

 #include <mlpack/prereqs.hpp>

 namespace mlpack {
 namespace ann {

 template<int TPower>
 class LRegularizer
 {
  public:
   LRegularizer(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 */);

   static const int Power = TPower;

   double factor;
 };

 // Convenience typedefs.
 typedef LRegularizer<1> L1Regularizer;

 typedef LRegularizer<2> L2Regularizer;

 } // namespace ann
 } // namespace mlpack

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

 #endif
mlpack::ann::LRegularizer::factor
double factor
The constant for the regularization.
Definition: lregularizer.hpp:55

mlpack::ann::LRegularizer
The L_p regularizer for arbitrary integer p.
Definition: lregularizer.hpp:27

mlpack::ann::L2Regularizer
LRegularizer< 2 > L2Regularizer
The L2 Regularizer.
Definition: lregularizer.hpp:67

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::LRegularizer::LRegularizer
LRegularizer(double factor=1.0)
Create the regularizer object.
Definition: lregularizer_impl.hpp:22

mlpack::ann::L1Regularizer
LRegularizer< 1 > L1Regularizer
The L1 Regularizer.
Definition: lregularizer.hpp:62

lregularizer_impl.hpp

mlpack::ann::LRegularizer::Power
static const int Power
The power of the regularizer.
Definition: lregularizer.hpp:52

mlpack::ann::LRegularizer::Evaluate
void Evaluate(const MatType &weight, MatType &gradient)
Calculate the gradient for regularization.
Definition: lregularizer_impl.hpp:31

mlpack::ann::LRegularizer::serialize
void serialize(Archive &ar, const uint32_t)
Serialize the regularizer (nothing to do).
Definition: lregularizer_impl.hpp:54