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

Detailed Description

template
class mlpack::ann::EmptyLoss< InputDataType, OutputDataType >

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

Template Parameters

InputDataType	Type of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube).
OutputDataType	Type 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

input	The propagated input activation.
target	The target vector.
output	The calculated error.

Forward()

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

Computes the Empty loss function.

Parameters

input	Input data used for evaluating the specified function.
target	The target vector.

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

• /home/jenkins-mlpack/mlpack.org/_src/mlpack-3.4.2/src/mlpack/methods/ann/loss_functions/empty_loss.hpp