mlpack 3.4.2
Public Member Functions | List of all members
EmptyLoss< InputDataType, OutputDataType > Class Template Reference

The empty loss does nothing, letting the user calculate the loss outside the model. More...

#include <empty_loss.hpp>

Public Member Functions

 EmptyLoss ()
 Create the EmptyLoss object. More...
 
template<typename InputType , typename TargetType , typename OutputType >
void Backward (const InputType &input, const TargetType &target, OutputType &output)
 Ordinary feed backward pass of a neural network. More...
 
template<typename InputType , typename TargetType >
double Forward (const InputType &input, const TargetType &target)
 Computes the Empty loss function. More...
 

Detailed Description

template<typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
class mlpack::ann::EmptyLoss< InputDataType, OutputDataType >

The empty loss does nothing, letting the user calculate the loss outside the model.

Template Parameters
InputDataTypeType of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).
OutputDataTypeType of the output data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).

Definition at line 35 of file empty_loss.hpp.

Constructor & Destructor Documentation

◆ EmptyLoss()

EmptyLoss ( )

Create the EmptyLoss object.

Member Function Documentation

◆ Backward()

void Backward ( const InputType &  input,
const TargetType &  target,
OutputType &  output 
)

Ordinary feed backward pass of a neural network.

Parameters
inputThe propagated input activation.
targetThe target vector.
outputThe calculated error.

◆ Forward()

double Forward ( const InputType &  input,
const TargetType &  target 
)

Computes the Empty loss function.

Parameters
inputInput data used for evaluating the specified function.
targetThe target vector.

The documentation for this class was generated from the following file: