mlpack
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mlpack::ann::EarthMoverDistance< InputDataType, OutputDataType > Class Template Reference

The earth mover distance function measures the network's performance according to the Kantorovich-Rubinstein duality approximation. More...

#include <earth_mover_distance.hpp>

Public Member Functions

 EarthMoverDistance ()
 Create the EarthMoverDistance object.
 
template<typename PredictionType , typename TargetType >
PredictionType::elem_type Forward (const PredictionType &prediction, const TargetType &target)
 Ordinary feed forward pass of a neural network. 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.
 
template<typename Archive >
void serialize (Archive &ar, const uint32_t)
 Serialize the layer.
 

Detailed Description

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

The earth mover distance function measures the network's performance according to the Kantorovich-Rubinstein duality approximation.

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).

Member Function Documentation

◆ Backward()

template<typename InputDataType , typename OutputDataType >
template<typename PredictionType , typename TargetType , typename LossType >
void mlpack::ann::EarthMoverDistance< InputDataType, OutputDataType >::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()

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

Ordinary feed forward pass of a neural network.

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

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