#include <StatsIterator.h>
Inheritance diagram for PLearn::ExpMeanStatsIterator:
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< int > | nsamples |
Private Types | |
typedef StatsIterator | inherited |
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Reimplemented from PLearn::StatsIterator. Definition at line 134 of file StatsIterator.h. |
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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. |
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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. |
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returns a bit more informative string about object (default returns classname())
Reimplemented from PLearn::Object. Definition at line 140 of file StatsIterator.h. |
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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. |
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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(). |
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Reimplemented from PLearn::StatsIterator. Definition at line 174 of file StatsIterator.cc. References nsamples, PLearn::writeField(), PLearn::writeFooter(), and PLearn::writeHeader(). |
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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. |
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Definition at line 137 of file StatsIterator.h. Referenced by finish(), init(), oldread(), oldwrite(), and update(). |