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 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

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:

• /var/www/mlpack.ratml.org/mlpack.org/_src/mlpack-3.3.2/src/mlpack/methods/ann/loss_functions/empty_loss.hpp