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

The mean absolute percentage error performance function measures the network's performance according to the mean of the absolute difference between input and target divided by target. More...

#include <mean_absolute_percentage_error.hpp>

Public Member Functions

 MeanAbsolutePercentageError ()
 Create the MeanAbsolutePercentageError 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 >
InputType::elem_type Forward (const InputType &input, const TargetType &target)
 Computes the mean absolute percentage error function. More...
 
OutputDataType & OutputParameter ()
 Modify the output parameter. More...
 
OutputDataType & OutputParameter () const
 Get the output parameter. More...
 
template<typename Archive >
void serialize (Archive &ar, const unsigned int)
 Serialize the layer. More...
 

Detailed Description

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

The mean absolute percentage error performance function measures the network's performance according to the mean of the absolute difference between input and target divided by target.

For more information, refer to the following paper,

@article{de_Myttenaere_2016,
author = {de Myttenaere, Arnaud and Golden, Boris and Le Grand,
Bénédicte and Rossi, Fabrice},
title = {Mean Absolute Percentage Error for regression models},
journal = {Neurocomputing},
volume = {abs/1605.02541},
year = {2016},
url = {https://arxiv.org/abs/1605.02541},
eprint = {1605.02541},
}
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 49 of file mean_absolute_percentage_error.hpp.

Constructor & Destructor Documentation

◆ MeanAbsolutePercentageError()

Create the MeanAbsolutePercentageError 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()

InputType::elem_type Forward ( const InputType &  input,
const TargetType &  target 
)

Computes the mean absolute percentage error function.

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

◆ OutputParameter() [1/2]

OutputDataType & OutputParameter ( )
inline

Modify the output parameter.

Definition at line 82 of file mean_absolute_percentage_error.hpp.

◆ OutputParameter() [2/2]

OutputDataType & OutputParameter ( ) const
inline

Get the output parameter.

Definition at line 80 of file mean_absolute_percentage_error.hpp.

◆ serialize()

void serialize ( Archive &  ar,
const unsigned int   
)

Serialize the layer.


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