PLearn::NegLogProbCostFunction Class Reference

#include <NegLogProbCostFunction.h>

Inheritance diagram for PLearn::NegLogProbCostFunction:

[legend]Collaboration diagram for PLearn::NegLogProbCostFunction:

[legend]List of all members.

Public Member Functions
	NegLogProbCostFunction (bool do_normalize=false, bool do_smooth_map_outputs=false)
	PLEARN_DECLARE_OBJECT (NegLogProbCostFunction)
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)
Public Attributes
bool	normalize
bool	smooth_map_outputs
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	recognized options are "normalize" and "smooth_map_outputs"
Private Types
typedef Kernel	inherited

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Detailed Description

The target is an integer between 0 and n_classes-1 corresponding to a class Y, and the output is a vector of length n_classes of non-negative estimated conditional probabilities P(Y=i|X) for class i (i=0 to n_classes-1), or if n_classes=2, the output could be a vector of length 1 containing P(Y=1|X). The cost is

• log P(Y=target|X).

Definition at line 62 of file NegLogProbCostFunction.h.

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Member Typedef Documentation

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

Reimplemented from PLearn::Kernel. Definition at line 64 of file NegLogProbCostFunction.h.

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Constructor & Destructor Documentation

PLearn::NegLogProbCostFunction::NegLogProbCostFunction (  bool  do_normalize = false, bool  do_smooth_map_outputs = false )  [inline]

Definition at line 80 of file NegLogProbCostFunction.h. References normalize, and smooth_map_outputs.

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Member Function Documentation

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

recognized options are "normalize" and "smooth_map_outputs" Reimplemented from PLearn::Kernel. Definition at line 129 of file NegLogProbCostFunction.cc. References PLearn::declareOption(), and PLearn::OptionList.

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

returns K(x1,x2) Implements PLearn::Kernel. Definition at line 55 of file NegLogProbCostFunction.cc. References PLearn::TVec< T >::length(), normalize, PLERROR, PLearn::safeflog(), smooth_map_outputs, smoothmap, PLearn::sum(), and PLearn::Vec.

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

returns a bit more informative string about object (default returns classname()) Reimplemented from PLearn::Object. Definition at line 85 of file NegLogProbCostFunction.h.

PLearn::NegLogProbCostFunction::PLEARN_DECLARE_OBJECT (  NegLogProbCostFunction   )

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Member Data Documentation

bool PLearn::NegLogProbCostFunction::normalize

Definition at line 67 of file NegLogProbCostFunction.h. Referenced by evaluate(), and NegLogProbCostFunction().

bool PLearn::NegLogProbCostFunction::smooth_map_outputs

Definition at line 68 of file NegLogProbCostFunction.h. Referenced by evaluate(), and NegLogProbCostFunction().

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

• NegLogProbCostFunction.h
• NegLogProbCostFunction.cc

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