shark::ZeroOneLoss< LabelType, OutputType > Class Template Reference
0-1-loss for classification. More...
#include <shark/ObjectiveFunctions/Loss/ZeroOneLoss.h>
Inheritance diagram for shark::ZeroOneLoss< LabelType, OutputType >:
Collaboration diagram for shark::ZeroOneLoss< LabelType, OutputType >:
Public Types | |
| typedef base_type::BatchLabelType | BatchLabelType |
| typedef base_type::BatchOutputType | BatchOutputType |
| Public Types inherited from shark::AbstractLoss< LabelType, LabelType > | |
| typedef LabelType | OutputType |
| typedef LabelType | LabelType |
| typedef VectorMatrixTraits < OutputType > ::DenseMatrixType | MatrixType |
| typedef Batch< OutputType >::type | BatchOutputType |
| typedef Batch< LabelType >::type | BatchLabelType |
| Public Types inherited from shark::AbstractCost< LabelType, LabelType > | |
| enum | Feature |
| list of features a cost function can have More... | |
| typedef LabelType | OutputType |
| typedef LabelType | LabelType |
| typedef Batch< OutputType >::type | BatchOutputType |
| typedef Batch< LabelType >::type | BatchLabelType |
| typedef TypedFlags< Feature > | Features |
| typedef TypedFeatureNotAvailableException < Feature > | FeatureNotAvailableException |
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 (LabelType const &target, OutputType const &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 (BatchLabelType const &target, BatchOutputType const &prediction, BatchOutputType &gradient) const |
| evaluate the loss and the derivative w.r.t. the prediction More... | |
| double | evalDerivative (Data< LabelType > const &targets, Data< OutputType > const &predictions, Data< OutputType > &gradient) const |
| 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... | |
| void | configure (PropertyTree const &node) |
| configures the loss using informations in the property tree More... | |
| double | operator() (Data< LabelType > const &targets, Data< OutputType > const &predictions) const |
| Public Member Functions inherited from shark::INameable | |
| virtual | ~INameable () |
| Public Member Functions inherited from shark::IConfigurable | |
| virtual | ~IConfigurable () |
| Virtual d'tor. More... | |
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 42 of file ZeroOneLoss.h.
Member Typedef Documentation
template<class LabelType = unsigned int, class OutputType = LabelType>
| typedef base_type::BatchLabelType shark::ZeroOneLoss< LabelType, OutputType >::BatchLabelType |
Definition at line 46 of file ZeroOneLoss.h.
template<class LabelType = unsigned int, class OutputType = LabelType>
| typedef base_type::BatchOutputType shark::ZeroOneLoss< LabelType, OutputType >::BatchOutputType |
Definition at line 47 of file ZeroOneLoss.h.
Constructor & Destructor Documentation
template<class LabelType = unsigned int, class OutputType = LabelType>
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inline |
constructor
Definition at line 50 of file ZeroOneLoss.h.
Member Function Documentation
template<class LabelType = unsigned int, class OutputType = LabelType>
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inlinevirtual |
Return zero if labels == predictions and one otherwise.
Implements shark::AbstractLoss< LabelType, LabelType >.
Definition at line 61 of file ZeroOneLoss.h.
References shark::size(), and SIZE_CHECK.
Referenced by main().
template<class LabelType = unsigned int, class OutputType = LabelType>
|
inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 55 of file ZeroOneLoss.h.
The documentation for this class was generated from the following file:
- include/shark/ObjectiveFunctions/Loss/ZeroOneLoss.h