The L1 loss is a loss function that measures the mean absolute error (MAE) between each element in the input x and target y. More...

#include <l1_loss.hpp>

Public Member Functions
	L1Loss (const bool mean=true)
	Create the L1Loss object. More...

template<typename PredictionType , typename TargetType >
PredictionType::elem_type	Forward (const PredictionType &prediction, const TargetType &target)
	Computes the L1 Loss function. 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...

OutputDataType &	OutputParameter () const
	Get the output parameter.

OutputDataType &	OutputParameter ()
	Modify the output parameter.

bool	Mean () const
	Get the value of reduction type.

bool &	Mean ()
	Set the value of reduction type.

template<typename Archive >
void	serialize (Archive &ar, const uint32_t)
	Serialize the layer.

Detailed Description

The L1 loss is a loss function that measures the mean absolute error (MAE) between each element in the input x and target y.

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).

Constructor & Destructor Documentation

template<typename InputDataType , typename OutputDataType >

mlpack::ann::L1Loss< InputDataType, OutputDataType >::L1Loss ( const bool mean = true )

Create the L1Loss object.

Parameters

mean	Reduction type. If true, it returns the mean of the loss. Else, it returns the sum.

template<typename InputDataType , typename OutputDataType >

template<typename PredictionType , typename TargetType , typename LossType >

void mlpack::ann::L1Loss< InputDataType, OutputDataType >::Backward	(	const PredictionType &	prediction,
		const TargetType &	target,
		LossType &	loss
	)

Ordinary feed backward pass of a neural network.

Parameters

prediction	Predictions used for evaluating the specified loss function.
target	The target vector.
loss	The calculated error.

template<typename InputDataType , typename OutputDataType >

template<typename PredictionType , typename TargetType >

PredictionType::elem_type mlpack::ann::L1Loss< InputDataType, OutputDataType >::Forward	(	const PredictionType &	prediction,
		const TargetType &	target
	)

Computes the L1 Loss function.

Parameters

prediction	Predictions used for evaluating the specified loss function.
target	The target vector.

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