PLearn::SelectInputSubsetLearner Class Reference

#include <SelectInputSubsetLearner.h>

Inheritance diagram for PLearn::SelectInputSubsetLearner:

[legend]Collaboration diagram for PLearn::SelectInputSubsetLearner:

[legend]List of all members.


Public Member Functions
	SelectInputSubsetLearner ()
virtual void	build ()
	Simply calls inherited::build() then build_().
virtual void	makeDeepCopyFromShallowCopy (map< const void , void > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (SelectInputSubsetLearner)
virtual int	inputsize () const
	Default returns train_set->inputsize().
virtual void	computeOutput (const Vec &input, Vec &output) const
	Computes the output from the input.
virtual void	computeCostsFromOutputs (const Vec &input, const Vec &output, const Vec &target, Vec &costs) const
	Computes the costs from already computed output.
virtual void	computeOutputAndCosts (const Vec &input, const Vec &target, Vec &output, Vec &costs) const
	Default calls computeOutput and computeCostsFromOutputs You may overload this if you have a more efficient way to compute both output and weighted costs at the same time.
virtual void	setTrainingSet (VMat training_set, bool call_forget=true)
	Declares the train_set Then calls build() and forget() if necessary Note: You shouldn't have to overload this in subclasses, except in maybe to forward the call to an underlying learner.
Public Attributes
TVec< int >	selected_inputs
real	random_fraction
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Protected Attributes
Vec	learner_inputs
TVec< int >	all_indices
Private Types
typedef EmbeddedLearner	inherited
Private Member Functions
void	build_ ()
	This does the actual building.

Member Typedef Documentation

typedef EmbeddedLearner PLearn::SelectInputSubsetLearner::inherited [private]

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 57 of file SelectInputSubsetLearner.h.

Constructor & Destructor Documentation

PLearn::SelectInputSubsetLearner::SelectInputSubsetLearner ( )

Definition at line 50 of file SelectInputSubsetLearner.cc.

Member Function Documentation

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

Simply calls inherited::build() then build_().

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 95 of file SelectInputSubsetLearner.cc.
References build_().

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

This does the actual building.

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 80 of file SelectInputSubsetLearner.cc.
References learner_inputs, PLearn::TVec< int >::length(), random_fraction, PLearn::TVec< T >::resize(), PLearn::TVec< int >::resize(), selected_inputs, and PLearn::shuffleElements().
Referenced by build().

void PLearn::SelectInputSubsetLearner::computeCostsFromOutputs ( const Vec & input,

const Vec & output,

const Vec & target,

Vec & costs

) const [virtual]

Computes the costs from already computed output.

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 126 of file SelectInputSubsetLearner.cc.
References learner_inputs, PLearn::TVec< T >::length(), and selected_inputs.

void PLearn::SelectInputSubsetLearner::computeOutput ( const Vec & input,

Vec & output

) const [virtual]

Computes the output from the input.

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 119 of file SelectInputSubsetLearner.cc.
References learner_inputs, PLearn::TVec< T >::length(), and selected_inputs.

void PLearn::SelectInputSubsetLearner::computeOutputAndCosts ( const Vec & input,

const Vec & target,

Vec & output,

Vec & costs

) const [virtual]

Default calls computeOutput and computeCostsFromOutputs You may overload this if you have a more efficient way to compute both output and weighted costs at the same time.

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 135 of file SelectInputSubsetLearner.cc.
References learner_inputs, PLearn::TVec< T >::length(), and selected_inputs.

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

Declares this class' options.

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 60 of file SelectInputSubsetLearner.cc.
References PLearn::declareOption(), and PLearn::OptionList.

int PLearn::SelectInputSubsetLearner::inputsize ( ) const [virtual]

Default returns train_set->inputsize().

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 115 of file SelectInputSubsetLearner.cc.
Referenced by setTrainingSet().

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

Transforms a shallow copy into a deep copy.

Reimplemented from PLearn::EmbeddedLearner.
Definition at line 102 of file SelectInputSubsetLearner.cc.
References all_indices, PLearn::deepCopyField(), learner_inputs, and selected_inputs.

PLearn::SelectInputSubsetLearner::PLEARN_DECLARE_OBJECT ( SelectInputSubsetLearner )

void PLearn::SelectInputSubsetLearner::setTrainingSet ( VMat training_set,

bool call_forget = true

) [virtual]

Declares the train_set Then calls build() and forget() if necessary Note: You shouldn't have to overload this in subclasses, except in maybe to forward the call to an underlying learner.

Reimplemented from PLearn::PLearner.
Definition at line 143 of file SelectInputSubsetLearner.cc.
References all_indices, inputsize(), PLearn::TVec< int >::length(), PLearn::TVec< int >::resize(), selected_inputs, and PLearn::VMat::width().