12 #ifndef MLPACK_METHODS_ANN_LAYER_SELECT_HPP    13 #define MLPACK_METHODS_ANN_LAYER_SELECT_HPP    29     typename InputDataType = arma::mat,
    30     typename OutputDataType = arma::mat
    41   Select(
const size_t index = 0, 
const size_t elements = 0);
    51   void Forward(
const arma::Mat<eT>& input, arma::Mat<eT>& output);
    64                 const arma::Mat<eT>& gy,
    73   OutputDataType& 
Delta()
 const { 
return delta; }
    75   OutputDataType& 
Delta() { 
return delta; }
    78   size_t const& 
Index()
 const { 
return index; }
    86   template<
typename Archive>
    87   void serialize(Archive& ar, 
const uint32_t );
   100   OutputDataType outputParameter;
   107 #include "select_impl.hpp" OutputDataType & Delta() const
Get the delta. 
 
Linear algebra utility functions, generally performed on matrices or vectors. 
 
The core includes that mlpack expects; standard C++ includes and Armadillo. 
 
OutputDataType & OutputParameter()
Modify the output parameter. 
 
void serialize(Archive &ar, const uint32_t)
Serialize the layer. 
 
The select module selects the specified column from a given input matrix. 
 
size_t const  & NumElements() const
Get the number of elements selected. 
 
Select(const size_t index=0, const size_t elements=0)
Create the Select object. 
 
OutputDataType & Delta()
Modify the delta. 
 
void Backward(const arma::Mat< eT > &, const arma::Mat< eT > &gy, arma::Mat< eT > &g)
Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backw...
 
void Forward(const arma::Mat< eT > &input, arma::Mat< eT > &output)
Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activ...
 
OutputDataType & OutputParameter() const
Get the output parameter. 
 
size_t const  & Index() const
Get the column index.