PLearn::PLearnerOutputVMatrix Class Reference

#include <PLearnerOutputVMatrix.h>

Inheritance diagram for PLearn::PLearnerOutputVMatrix:

[legend]Collaboration diagram for PLearn::PLearnerOutputVMatrix:

[legend]List of all members.


Public Member Functions
	PLearnerOutputVMatrix ()
	PLearnerOutputVMatrix (VMat data_, TVec< PP< PLearner > > learners_, bool put_raw_input_=false)
virtual void	build ()
	Should call simply inherited::build(), then this class's build_().
virtual void	makeDeepCopyFromShallowCopy (map< const void , void > &copies)
	Transforms a shallow copy into a deep copy.
	PLEARN_DECLARE_OBJECT (PLearnerOutputVMatrix)
	Declares name and deepCopy methods.
Public Attributes
VMat	data
TVec< PP< PLearner > >	learners
bool	put_raw_input
bool	train_learners
Protected Member Functions
virtual void	getNewRow (int i, const Vec &v) const
	This is the only method requiring implementation.
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	Declares this class' options.
Protected Attributes
Vec	row
Vec	learner_input
Mat	learners_output
Vec	learner_target
Vec	non_input_part_of_data_row
bool	learners_need_train
	Used to keep track of whether learners need training or not.
Private Types
typedef RowBufferedVMatrix	inherited
Private Member Functions
void	build_ ()
	This does the actual building.

Member Typedef Documentation

typedef RowBufferedVMatrix PLearn::PLearnerOutputVMatrix::inherited [private]

Reimplemented from PLearn::RowBufferedVMatrix.
Definition at line 56 of file PLearnerOutputVMatrix.h.
Referenced by PLearnerOutputVMatrix().

Constructor & Destructor Documentation

PLearn::PLearnerOutputVMatrix::PLearnerOutputVMatrix ( )

Definition at line 50 of file PLearnerOutputVMatrix.cc.
References inherited.

PLearn::PLearnerOutputVMatrix::PLearnerOutputVMatrix ( VMat data_,

TVec< PP< PLearner > > learners_,

bool put_raw_input_ = false

)

Definition at line 58 of file PLearnerOutputVMatrix.cc.

Member Function Documentation

void PLearn::PLearnerOutputVMatrix::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::VMatrix.
Definition at line 168 of file PLearnerOutputVMatrix.cc.
References build_().

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

This does the actual building.

Reimplemented from PLearn::VMatrix.
Definition at line 125 of file PLearnerOutputVMatrix.cc.
References data, PLearn::VMatrix::inputsize(), learner_input, learner_target, learners, learners_need_train, learners_output, PLearn::VMat::length(), PLearn::TVec< PP< PLearner > >::length(), non_input_part_of_data_row, PLERROR, put_raw_input, PLearn::TVec< VMField >::resize(), PLearn::TMat< T >::resize(), PLearn::TVec< T >::resize(), row, PLearn::TVec< T >::subVec(), train_learners, and PLearn::VMat::width().
Referenced by build().

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

Declares this class' options.

Reimplemented from PLearn::VMatrix.
Definition at line 101 of file PLearnerOutputVMatrix.cc.
References PLearn::declareOption(), and PLearn::OptionList.

void PLearn::PLearnerOutputVMatrix::getNewRow ( int i,

const Vec & v

) const [protected, virtual]

This is the only method requiring implementation.

Implements PLearn::RowBufferedVMatrix.
Definition at line 76 of file PLearnerOutputVMatrix.cc.
References data, learner_input, learners, learners_need_train, learners_output, PLearn::TVec< T >::length(), PLearn::TVec< PP< PLearner > >::length(), non_input_part_of_data_row, put_raw_input, row, PLearn::TMat< T >::size(), PLearn::TVec< T >::subVec(), PLearn::TMat< T >::toVec(), and PLearn::Vec.

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

Transforms a shallow copy into a deep copy.

Reimplemented from PLearn::RowBufferedVMatrix.
Definition at line 174 of file PLearnerOutputVMatrix.cc.
References PLearn::deepCopyField(), learner_input, learner_target, learners_output, non_input_part_of_data_row, and row.