PLearn::NearestNeighborPredictionCost Class Reference

#include <NearestNeighborPredictionCost.h>

Inheritance diagram for PLearn::NearestNeighborPredictionCost:

[legend]Collaboration diagram for PLearn::NearestNeighborPredictionCost:

[legend]List of all members.


Public Member Functions
	NearestNeighborPredictionCost ()
	Default constructor.
	PLEARN_DECLARE_OBJECT (NearestNeighborPredictionCost)
virtual void	build ()
	Should call simply inherited::build(), then this class's build_().
void	run ()
	Overload this for runnable objects (default method issues a runtime error) Runnable objects are objects that can be used as THE object of a .plearn script.
virtual void	makeDeepCopyFromShallowCopy (map< const void , void > &copies)
	Transforms a shallow copy into a deep copy.
Public Attributes
int	knn
VMat	test_set
string	learner_spec
Vec	cost
VMat	computed_outputs
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Protected Attributes
PP< PLearner >	learner
Private Types
typedef Object	inherited
Private Member Functions
void	build_ ()
	This does the actual building.

Member Typedef Documentation

typedef Object PLearn::NearestNeighborPredictionCost::inherited [private]

Reimplemented from PLearn::Object.
Definition at line 59 of file NearestNeighborPredictionCost.h.

Constructor & Destructor Documentation

PLearn::NearestNeighborPredictionCost::NearestNeighborPredictionCost ( )

Default constructor.

Definition at line 56 of file NearestNeighborPredictionCost.cc.

Member Function Documentation

void PLearn::NearestNeighborPredictionCost::build ( ) [virtual]

Should call simply inherited::build(), then this class's build_().
This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object.
Reimplemented from PLearn::Object.
Definition at line 145 of file NearestNeighborPredictionCost.cc.
References build_().

void PLearn::NearestNeighborPredictionCost::build_ ( ) [private]

This does the actual building.

Reimplemented from PLearn::Object.
Definition at line 91 of file NearestNeighborPredictionCost.cc.
References computed_outputs, cost, knn, learner, learner_spec, PLearn::VMat::length(), PLearn::load(), PLearn::TVec< T >::resize(), and test_set.
Referenced by build().

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

Declares this class' options.

Reimplemented from PLearn::Object.
Definition at line 67 of file NearestNeighborPredictionCost.cc.
References PLearn::declareOption(), and PLearn::OptionList.

void PLearn::NearestNeighborPredictionCost::makeDeepCopyFromShallowCopy ( map< const void *, void * > & copies ) [virtual]

Transforms a shallow copy into a deep copy.

Definition at line 151 of file NearestNeighborPredictionCost.cc.
References PLERROR.

PLearn::NearestNeighborPredictionCost::PLEARN_DECLARE_OBJECT ( NearestNeighborPredictionCost )

void PLearn::NearestNeighborPredictionCost::run ( ) [virtual]

Overload this for runnable objects (default method issues a runtime error) Runnable objects are objects that can be used as *THE* object of a .plearn script.
The run() method specifies what they should do when executed.
Reimplemented from PLearn::Object.
Definition at line 110 of file NearestNeighborPredictionCost.cc.
References computed_outputs, cost, PLearn::endl(), knn, learner, PLearn::VMat::length(), PLearn::local_neighbors_differences(), PLearn::min(), PLearn::projection_error(), test_set, and PLearn::VMat::width().