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PLearn::ExpMeanStatsIterator Class Reference

#include <StatsIterator.h>

Inheritance diagram for PLearn::ExpMeanStatsIterator:

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Collaboration diagram for PLearn::ExpMeanStatsIterator:

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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 ()
 PLEARN_DECLARE_OBJECT (ExpMeanStatsIterator)
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

TVec< intnsamples

Private Types

typedef StatsIterator inherited

Member Typedef Documentation

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

Reimplemented from PLearn::StatsIterator.

Definition at line 134 of file StatsIterator.h.


Member Function Documentation

void PLearn::ExpMeanStatsIterator::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 166 of file StatsIterator.cc.

References PLearn::declareOption(), and PLearn::OptionList.

bool PLearn::ExpMeanStatsIterator::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 159 of file StatsIterator.cc.

References PLearn::exp(), PLearn::TVec< T >::length(), and nsamples.

virtual string PLearn::ExpMeanStatsIterator::info  )  const [inline, virtual]
 

returns a bit more informative string about object (default returns classname())

Reimplemented from PLearn::Object.

Definition at line 140 of file StatsIterator.h.

void PLearn::ExpMeanStatsIterator::init int  inputsize  )  [virtual]
 

Call this method once with the correct inputsize.

Implements PLearn::StatsIterator.

Definition at line 145 of file StatsIterator.cc.

References PLearn::TVec< int >::clear(), nsamples, PLearn::TVec< int >::resize(), and PLearn::Vec.

void PLearn::ExpMeanStatsIterator::oldread istream &  in  )  [virtual]
 

DEPRECATED For backward compatibility with old saved object.

Reimplemented from PLearn::StatsIterator.

Definition at line 182 of file StatsIterator.cc.

References nsamples, PLearn::readField(), PLearn::readFooter(), and PLearn::readHeader().

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

Reimplemented from PLearn::StatsIterator.

Definition at line 174 of file StatsIterator.cc.

References nsamples, PLearn::writeField(), PLearn::writeFooter(), and PLearn::writeHeader().

PLearn::ExpMeanStatsIterator::PLEARN_DECLARE_OBJECT ExpMeanStatsIterator   ) 
 

void PLearn::ExpMeanStatsIterator::update const Vec input  )  [virtual]
 

Then iterate over the data set and call this method for each row.

Implements PLearn::StatsIterator.

Definition at line 154 of file StatsIterator.cc.

References PLearn::addIfNonMissing(), and nsamples.


Member Data Documentation

TVec<int> PLearn::ExpMeanStatsIterator::nsamples [protected]
 

Definition at line 137 of file StatsIterator.h.

Referenced by finish(), init(), oldread(), oldwrite(), and update().


The documentation for this class was generated from the following files:
Generated on Tue Aug 17 16:23:58 2004 for PLearn by doxygen 1.3.7