PLearn::SquaredErrorCostFunction Class Reference

********************************************************* The following 'kernels' are rather used as cost functions More...

#include <SquaredErrorCostFunction.h>

Inheritance diagram for PLearn::SquaredErrorCostFunction:

[legend]Collaboration diagram for PLearn::SquaredErrorCostFunction:

[legend]List of all members.

Public Member Functions
	SquaredErrorCostFunction (int the_targetindex=-1)
	SquaredErrorCostFunction (real hot_value, real cold_value)
	Constructor for classification (target is interpreted as onehot).
	PLEARN_DECLARE_OBJECT (SquaredErrorCostFunction)
virtual string	info () const
	returns a bit more informative string about object (default returns classname())
virtual real	evaluate (const Vec &output, const Vec &target) const
	returns K(x1,x2)
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	recognized option is "targetindex"
Protected Attributes
int	targetindex
	index in target vector of the target value to use to compute the squared error (if -1, sum all the squared errors)
bool	classification
real	hotvalue
real	coldvalue
Private Types
typedef Kernel	inherited

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Detailed Description

********************************************************* The following 'kernels' are rather used as cost functions

Definition at line 55 of file SquaredErrorCostFunction.h.

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Member Typedef Documentation

typedef Kernel PLearn::SquaredErrorCostFunction::inherited [private]

Reimplemented from PLearn::Kernel. Definition at line 57 of file SquaredErrorCostFunction.h.

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Constructor & Destructor Documentation

PLearn::SquaredErrorCostFunction::SquaredErrorCostFunction (  int  the_targetindex = -1  )  [inline]

Definition at line 67 of file SquaredErrorCostFunction.h. References classification, coldvalue, hotvalue, and targetindex.

PLearn::SquaredErrorCostFunction::SquaredErrorCostFunction (  real  hot_value, real  cold_value )  [inline]

Constructor for classification (target is interpreted as onehot). Definition at line 71 of file SquaredErrorCostFunction.h. References classification, coldvalue, hotvalue, and targetindex.

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Member Function Documentation

void PLearn::SquaredErrorCostFunction::declareOptions (  OptionList &  ol  )  [static, protected]

recognized option is "targetindex" Reimplemented from PLearn::Kernel. Definition at line 83 of file SquaredErrorCostFunction.cc. References PLearn::declareOption(), and PLearn::OptionList.

real PLearn::SquaredErrorCostFunction::evaluate (  const Vec &  output, const Vec &  target )  const [virtual]

returns K(x1,x2) Implements PLearn::Kernel. Definition at line 52 of file SquaredErrorCostFunction.cc. References classification, coldvalue, PLearn::TVec< T >::data(), hotvalue, PLearn::TVec< T >::length(), PLERROR, PLearn::square(), targetindex, and PLearn::Vec.

virtual string PLearn::SquaredErrorCostFunction::info (   )  const [inline, virtual]

returns a bit more informative string about object (default returns classname()) Reimplemented from PLearn::Object. Definition at line 76 of file SquaredErrorCostFunction.h.

PLearn::SquaredErrorCostFunction::PLEARN_DECLARE_OBJECT (  SquaredErrorCostFunction   )

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Member Data Documentation

bool PLearn::SquaredErrorCostFunction::classification [protected]

Definition at line 63 of file SquaredErrorCostFunction.h. Referenced by evaluate(), and SquaredErrorCostFunction().

real PLearn::SquaredErrorCostFunction::coldvalue [protected]

Definition at line 64 of file SquaredErrorCostFunction.h. Referenced by evaluate(), and SquaredErrorCostFunction().

real PLearn::SquaredErrorCostFunction::hotvalue [protected]

Definition at line 64 of file SquaredErrorCostFunction.h. Referenced by evaluate(), and SquaredErrorCostFunction().

int PLearn::SquaredErrorCostFunction::targetindex [protected]

index in target vector of the target value to use to compute the squared error (if -1, sum all the squared errors) Definition at line 62 of file SquaredErrorCostFunction.h. Referenced by evaluate(), and SquaredErrorCostFunction().

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The documentation for this class was generated from the following files:

• SquaredErrorCostFunction.h
• SquaredErrorCostFunction.cc

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