EmptyLoss< InputDataType, OutputDataType > Class Template Reference

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

Public Member Functions

 EmptyLoss ()
 Create the EmptyLoss object. More...

 
template
<
typename
PredictionType
,
typename
TargetType
,
typename
LossType
>
void Backward (const PredictionType &prediction, const TargetType &target, LossType &loss)
 Ordinary feed backward pass of a neural network. More...

 
template
<
typename
PredictionType
,
typename
TargetType
>
double Forward (const PredictionType &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 PredictionType &  prediction,
const TargetType &  target,
LossType &  loss 
)

Ordinary feed backward pass of a neural network.

Parameters
predictionPrediction used for evaluating the specified loss function.
targetThe target vector.
lossThe calculated error.

◆ Forward()

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

Computes the Empty loss function.

Parameters
predictionPrediction used for evaluating the specified loss function.
targetThe target vector.

The documentation for this class was generated from the following file:
  • /home/jenkins-mlpack/mlpack.org/_src/mlpack-git/src/mlpack/methods/ann/loss_functions/empty_loss.hpp