PLearn::LiftStatsIterator Class Reference

#include <StatsIterator.h>

Inheritance diagram for PLearn::LiftStatsIterator:

[legend]Collaboration diagram for PLearn::LiftStatsIterator:

[legend]List of all members.

Public Member Functions
virtual string	info () const
	returns a bit more informative string about object (default returns classname())
virtual void	init (int inputsize)
	Call this method once with the correct inputsize.
virtual void	update (const Vec &input)
	Then iterate over the data set and call this method for each row.
virtual bool	finish ()
	LiftStatsIterator (int the_index=0, real the_fraction=0.1)
	PLEARN_DECLARE_OBJECT (LiftStatsIterator)
virtual void	makeDeepCopyFromShallowCopy (map< const void *, void * > &copies)
virtual void	oldwrite (ostream &out) const
virtual void	oldread (istream &in)
	DEPRECATED For backward compatibility with old saved object.
Static Protected Member Functions
void	declareOptions (OptionList &ol)
	redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down)
Protected Attributes
int	nsamples
int	lift_index
real	lift_fraction
Mat	output_and_pos
Vec	targets
Private Types
typedef StatsIterator	inherited

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Detailed Description

result Vec has size 2: result[0] = lift result[1] = lift/lift_maximum

Definition at line 291 of file StatsIterator.h.

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Member Typedef Documentation

typedef StatsIterator PLearn::LiftStatsIterator::inherited [private]

Reimplemented from PLearn::StatsIterator. Definition at line 293 of file StatsIterator.h.

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Constructor & Destructor Documentation

PLearn::LiftStatsIterator::LiftStatsIterator (  int  the_index = 0, real  the_fraction = 0.1 )

Definition at line 520 of file StatsIterator.cc.

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Member Function Documentation

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

redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options) ( see the declareOption function further down) ex: static void declareOptions(OptionList& ol) { declareOption(ol, "inputsize", &MyObject::inputsize_, OptionBase::buildoption, "the size of the input\n it must be provided"); declareOption(ol, "weights", &MyObject::weights, OptionBase::learntoption, "the learnt model weights"); inherited::declareOptions(ol); } Reimplemented from PLearn::StatsIterator. Definition at line 578 of file StatsIterator.cc. References PLearn::declareOption(), and PLearn::OptionList.

bool PLearn::LiftStatsIterator::finish (   )  [virtual]

Call this method when all the data has been shown (through update) If the method returns false, then a further pass through the data is required. Implements PLearn::StatsIterator. Definition at line 550 of file StatsIterator.cc. References lift_fraction, MIN, nsamples, output_and_pos, PLearn::TVec< T >::resize(), PLearn::TMat< T >::resize(), PLearn::selectAndOrder(), PLearn::TMat< T >::subMat(), PLearn::sum(), and targets.

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

returns a bit more informative string about object (default returns classname()) Reimplemented from PLearn::Object. Definition at line 303 of file StatsIterator.h.

void PLearn::LiftStatsIterator::init (  int  inputsize  )  [virtual]

Call this method once with the correct inputsize. Implements PLearn::StatsIterator. Definition at line 524 of file StatsIterator.cc. References nsamples, output_and_pos, PLearn::TVec< T >::resize(), PLearn::TMat< T >::resize(), targets, and PLearn::Vec.

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

Reimplemented from PLearn::StatsIterator. Definition at line 513 of file StatsIterator.cc. References PLearn::deepCopyField(), output_and_pos, and targets.

void PLearn::LiftStatsIterator::oldread (  istream &  in  )  [virtual]

DEPRECATED For backward compatibility with old saved object. Reimplemented from PLearn::StatsIterator. Definition at line 610 of file StatsIterator.cc. References lift_fraction, lift_index, nsamples, output_and_pos, PLearn::readField(), PLearn::readFooter(), PLearn::readHeader(), and targets.

void PLearn::LiftStatsIterator::oldwrite (  ostream &  out  )  const [virtual]

Reimplemented from PLearn::StatsIterator. Definition at line 598 of file StatsIterator.cc. References lift_fraction, lift_index, nsamples, output_and_pos, targets, PLearn::writeField(), PLearn::writeFooter(), and PLearn::writeHeader().

PLearn::LiftStatsIterator::PLEARN_DECLARE_OBJECT (  LiftStatsIterator   )

void PLearn::LiftStatsIterator::update (  const Vec &  input  )  [virtual]

Then iterate over the data set and call this method for each row. Implements PLearn::StatsIterator. Definition at line 536 of file StatsIterator.cc. References PLearn::FABS(), PLearn::TMat< T >::length(), lift_index, nsamples, output_and_pos, PLearn::TVec< T >::resize(), PLearn::TMat< T >::resize(), and targets.

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Member Data Documentation

real PLearn::LiftStatsIterator::lift_fraction [protected]

Definition at line 298 of file StatsIterator.h. Referenced by finish(), oldread(), and oldwrite().

int PLearn::LiftStatsIterator::lift_index [protected]

Definition at line 297 of file StatsIterator.h. Referenced by oldread(), oldwrite(), and update().

int PLearn::LiftStatsIterator::nsamples [protected]

Definition at line 296 of file StatsIterator.h. Referenced by finish(), init(), oldread(), oldwrite(), and update().

Mat PLearn::LiftStatsIterator::output_and_pos [protected]

Definition at line 299 of file StatsIterator.h. Referenced by finish(), init(), makeDeepCopyFromShallowCopy(), oldread(), oldwrite(), and update().

Vec PLearn::LiftStatsIterator::targets [protected]

Definition at line 300 of file StatsIterator.h. Referenced by finish(), init(), makeDeepCopyFromShallowCopy(), oldread(), oldwrite(), and update().

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

• StatsIterator.h
• StatsIterator.cc

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