squared loss for regression and classification More...
#include <shark/ObjectiveFunctions/Loss/SquaredLoss.h>
Inheritance diagram for shark::SquaredLoss< OutputType, LabelType >:
Public Member Functions | |
| SquaredLoss () | |
| Constructor. More... | |
| std::string | name () const |
| From INameable: return the class name. More... | |
| double | eval (BatchLabelType const &labels, BatchOutputType const &predictions) const |
| Evaluate the squared loss \( (label - prediction)^2 \). More... | |
| double | evalDerivative (BatchLabelType const &label, BatchOutputType const &prediction, BatchOutputType &gradient) const |
| Public Member Functions inherited from shark::AbstractLoss< LabelType, OutputType > | |
| 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... | |
| 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, OutputType > | |
| 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, OutputType > | |
| Features | m_features |
Detailed Description
template<class OutputType = RealVector, class LabelType = OutputType>
class shark::SquaredLoss< OutputType, LabelType >
squared loss for regression and classification
The SquaredLoss computes the squared distance between target and prediction. It is defined for both vectorial as well as integral labels. In the case of integral labels, the label c is interpreted as unit-vector having the c-th component activated.
Definition at line 48 of file SquaredLoss.h.
Member Typedef Documentation
◆ BatchLabelType
| typedef base_type::BatchLabelType shark::SquaredLoss< OutputType, LabelType >::BatchLabelType |
Definition at line 53 of file SquaredLoss.h.
◆ BatchOutputType
| typedef base_type::BatchOutputType shark::SquaredLoss< OutputType, LabelType >::BatchOutputType |
Definition at line 52 of file SquaredLoss.h.
Constructor & Destructor Documentation
◆ SquaredLoss()
|
inline |
Constructor.
Definition at line 56 of file SquaredLoss.h.
References shark::AbstractCost< LabelType, OutputType >::HAS_FIRST_DERIVATIVE, and shark::AbstractCost< LabelType, OutputType >::m_features.
Member Function Documentation
◆ eval()
|
inlinevirtual |
Evaluate the squared loss \( (label - prediction)^2 \).
Implements shark::AbstractLoss< LabelType, OutputType >.
Definition at line 69 of file SquaredLoss.h.
References SIZE_CHECK.
Referenced by main().
◆ evalDerivative()
|
inlinevirtual |
Evaluate the squared loss \( (label - prediction)^2 \) and its deriative \( \frac{\partial}{\partial prediction} 1/2 (label - prediction)^2 = prediction - label \).
Reimplemented from shark::AbstractLoss< LabelType, OutputType >.
Definition at line 82 of file SquaredLoss.h.
◆ name()
|
inlinevirtual |
From INameable: return the class name.
Reimplemented from shark::INameable.
Definition at line 63 of file SquaredLoss.h.
References shark::AbstractLoss< LabelType, OutputType >::eval().
The documentation for this class was generated from the following file:
- include/shark/ObjectiveFunctions/Loss/SquaredLoss.h