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...
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| | L1Loss (const bool mean=true) |
| | Create the L1Loss object. More...
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| 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...
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| template<typename InputType , typename TargetType > |
| InputType::elem_type | Forward (const InputType &input, const TargetType &target) |
| | Computes the L1 Loss function. More...
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| bool | Mean () const |
| | Get the value of reduction type. More...
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| bool & | Mean () |
| | Set the value of reduction type. More...
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| OutputDataType & | OutputParameter () const |
| | Get the output parameter. More...
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| OutputDataType & | OutputParameter () |
| | Modify the output parameter. More...
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| template<typename Archive > |
| void | serialize (Archive &ar, const unsigned int) |
| | Serialize the layer. More...
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template<typename InputDataType = arma::mat, typename OutputDataType = arma::mat>
class mlpack::ann::L1Loss< InputDataType, OutputDataType >
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
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| 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 33 of file l1_loss.hpp.
| L1Loss |
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const bool |
mean = true | ) |
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Create the L1Loss object.
- Parameters
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| mean | Reduction type. If true, it returns the mean of the loss. Else, it returns the sum. |
| void Backward |
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const InputType & |
input, |
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const TargetType & |
target, |
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OutputType & |
output |
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) |
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Ordinary feed backward pass of a neural network.
- Parameters
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| input | The propagated input activation. |
| target | The target vector. |
| output | The calculated error. |
| InputType::elem_type Forward |
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const InputType & |
input, |
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const TargetType & |
target |
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) |
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Computes the L1 Loss function.
- Parameters
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| input | Input data used for evaluating the specified function. |
| target | The target vector. |
Get the value of reduction type.
Definition at line 72 of file l1_loss.hpp.
Set the value of reduction type.
Definition at line 74 of file l1_loss.hpp.
| OutputDataType& OutputParameter |
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const |
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inline |
Get the output parameter.
Definition at line 67 of file l1_loss.hpp.
| OutputDataType& OutputParameter |
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inline |
Modify the output parameter.
Definition at line 69 of file l1_loss.hpp.
| void serialize |
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Archive & |
ar, |
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const unsigned |
int |
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) |
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The documentation for this class was generated from the following file: