0-1-loss for classification. More...
#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>
Inheritance diagram for shark::ZeroOneLoss< LabelType, OutputType >:
Public Member Functions | |
| ZeroOneLoss () | |
| constructor More... | |
| std::string | name () const |
| From INameable: return the class name. More... | |
| double | eval (BatchLabelType const &labels, BatchOutputType const &predictions) const |
| Return zero if labels == predictions and one otherwise. More... | |
| Public Member Functions inherited from shark::AbstractLoss< LabelType, LabelType > | |
| AbstractLoss () | |
| virtual double | eval (ConstLabelReference target, ConstOutputReference prediction) const |
| evaluate the loss for a target and a prediction More... | |
| double | eval (Data< LabelType > const &targets, Data< OutputType > const &predictions) const |
| virtual double | evalDerivative (ConstLabelReference target, ConstOutputReference prediction, OutputType &gradient) const |
| evaluate the loss and its derivative for a target and a prediction More... | |
| virtual double | evalDerivative (ConstLabelReference target, ConstOutputReference prediction, OutputType &gradient, MatrixType &hessian) const |
| evaluate the loss and its first and second derivative for a target and a prediction More... | |
| virtual double | evalDerivative (BatchLabelType const &target, BatchOutputType const &prediction, BatchOutputType &gradient) const |
| evaluate the loss and the derivative w.r.t. the prediction More... | |
| double | operator() (LabelType const &target, OutputType const &prediction) const |
| evaluate the loss for a target and a prediction More... | |
| double | operator() (BatchLabelType const &target, BatchOutputType const &prediction) const |
| Public Member Functions inherited from shark::AbstractCost< LabelType, LabelType > | |
| virtual | ~AbstractCost () |
| const Features & | features () const |
| virtual void | updateFeatures () |
| bool | hasFirstDerivative () const |
| returns true when the first parameter derivative is implemented More... | |
| bool | isLossFunction () const |
| returns true when the cost function is in fact a loss function More... | |
| double | operator() (Data< LabelType > const &targets, Data< OutputType > const &predictions) const |
| Public Member Functions inherited from shark::INameable | |
| virtual | ~INameable () |
Additional Inherited Members | |
| Protected Attributes inherited from shark::AbstractCost< LabelType, LabelType > | |
| Features | m_features |
Detailed Description
template<class LabelType = unsigned int, class OutputType = LabelType>
class shark::ZeroOneLoss< LabelType, OutputType >
0-1-loss for classification.
The ZeroOneLoss requires the existence of the comparison operator == for its LabelType template parameter. The loss function returns zero of the predictions exactly matches the label, and one otherwise.
Definition at line 51 of file ZeroOneLoss.h.
Member Typedef Documentation
◆ BatchLabelType
| typedef base_type::BatchLabelType shark::ZeroOneLoss< LabelType, OutputType >::BatchLabelType |
Definition at line 55 of file ZeroOneLoss.h.
◆ BatchOutputType
| typedef base_type::BatchOutputType shark::ZeroOneLoss< LabelType, OutputType >::BatchOutputType |
Definition at line 56 of file ZeroOneLoss.h.
Constructor & Destructor Documentation
◆ ZeroOneLoss()
|
inline |
constructor
Definition at line 59 of file ZeroOneLoss.h.
Member Function Documentation
◆ eval()
|
inlinevirtual |
Return zero if labels == predictions and one otherwise.
Implements shark::AbstractLoss< LabelType, LabelType >.
Definition at line 70 of file ZeroOneLoss.h.
References SIZE_CHECK.
Referenced by main(), and run_one_trial().
◆ name()
|
inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 64 of file ZeroOneLoss.h.
References shark::AbstractLoss< LabelType, LabelType >::eval().
Referenced by main().
The documentation for this class was generated from the following file:
- include/shark/ObjectiveFunctions/Loss/ZeroOneLoss.h