SHOGUN
v1.1.0
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CSmoothHingeLoss implements the smooth hinge loss function.
Definition at line 21 of file SmoothHingeLoss.h.
Additional Inherited Members | |
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SGIO * | io |
Parallel * | parallel |
Version * | version |
Parameter * | m_parameters |
Parameter * | m_model_selection_parameters |
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virtual void | load_serializable_pre () throw (ShogunException) |
virtual void | load_serializable_post () throw (ShogunException) |
virtual void | save_serializable_pre () throw (ShogunException) |
virtual void | save_serializable_post () throw (ShogunException) |
CSmoothHingeLoss | ( | ) |
Constructor
Definition at line 27 of file SmoothHingeLoss.h.
~CSmoothHingeLoss | ( | ) |
Destructor
Definition at line 32 of file SmoothHingeLoss.h.
Get first derivative of the loss function
prediction | prediction |
label | label |
Implements CLossFunction.
Definition at line 25 of file SmoothHingeLoss.cpp.
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virtual |
Return loss type
Implements CLossFunction.
Definition at line 91 of file SmoothHingeLoss.h.
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virtual |
Return the name of the object
Reimplemented from CLossFunction.
Definition at line 93 of file SmoothHingeLoss.h.
Get square of gradient, used for adaptive learning
prediction | prediction |
label | label |
Implements CLossFunction.
Definition at line 51 of file SmoothHingeLoss.cpp.
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virtual |
Get importance aware weight update for this loss function
prediction | prediction |
label | label |
eta_t | learning rate at update number t |
norm | scale value |
Implements CLossFunction.
Definition at line 45 of file SmoothHingeLoss.cpp.
Get loss for an example
prediction | prediction |
label | label |
Implements CLossFunction.
Definition at line 15 of file SmoothHingeLoss.cpp.
Get second derivative of the loss function
prediction | prediction |
label | label |
Implements CLossFunction.
Definition at line 35 of file SmoothHingeLoss.cpp.