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PLearn 0.1
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#include <StatsIterator.h>


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 () |
| virtual string | classname () const |
| virtual OptionList & | getOptionList () const |
| virtual OptionMap & | getOptionMap () const |
| virtual RemoteMethodMap & | getRemoteMethodMap () const |
| virtual MeanStatsIterator * | deepCopy (CopiesMap &copies) const |
| virtual void | oldwrite (ostream &out) const |
Static Public Member Functions | |
| static string | _classname_ () |
| static OptionList & | _getOptionList_ () |
| static RemoteMethodMap & | _getRemoteMethodMap_ () |
| static Object * | _new_instance_for_typemap_ () |
| static bool | _isa_ (const Object *o) |
| static void | _static_initialize_ () |
| static const PPath & | declaringFile () |
Static Public Attributes | |
| static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
| static void | declareOptions (OptionList &ol) |
| Declare options (data fields) for the class. | |
Protected Attributes | |
| TVec< int > | nsamples |
Private Types | |
| typedef StatsIterator | inherited |
Definition at line 110 of file StatsIterator.h.
typedef StatsIterator PLearn::MeanStatsIterator::inherited [private] |
Reimplemented from PLearn::StatsIterator.
Definition at line 112 of file StatsIterator.h.
| string PLearn::MeanStatsIterator::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 93 of file StatsIterator.cc.
| OptionList & PLearn::MeanStatsIterator::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 93 of file StatsIterator.cc.
| RemoteMethodMap & PLearn::MeanStatsIterator::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 93 of file StatsIterator.cc.
Reimplemented from PLearn::StatsIterator.
Definition at line 93 of file StatsIterator.cc.
| Object * PLearn::MeanStatsIterator::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 93 of file StatsIterator.cc.
| StaticInitializer MeanStatsIterator::_static_initializer_ & PLearn::MeanStatsIterator::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 93 of file StatsIterator.cc.
| string PLearn::MeanStatsIterator::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 93 of file StatsIterator.cc.
| void PLearn::MeanStatsIterator::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
Declare options (data fields) for the class.
Redefine this in subclasses: call declareOption(...) for each option, and then call inherited::declareOptions(options). Please call the inherited method AT THE END to get the options listed in a consistent order (from most recently defined to least recently defined).
static void MyDerivedClass::declareOptions(OptionList& ol) { declareOption(ol, "inputsize", &MyObject::inputsize_, OptionBase::buildoption, "The size of the input; it must be provided"); declareOption(ol, "weights", &MyObject::weights, OptionBase::learntoption, "The learned model weights"); inherited::declareOptions(ol); }
| ol | List of options that is progressively being constructed for the current class. |
Reimplemented from PLearn::StatsIterator.
Definition at line 116 of file StatsIterator.cc.
References PLearn::declareOption(), PLearn::OptionBase::learntoption, and nsamples.
{
declareOption(ol, "nsamples", &MeanStatsIterator::nsamples, OptionBase::learntoption,
" nsamples\n");
inherited::declareOptions(ol);
}

| static const PPath& PLearn::MeanStatsIterator::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 122 of file StatsIterator.h.
:
static void declareOptions(OptionList& ol);
| MeanStatsIterator * PLearn::MeanStatsIterator::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::StatsIterator.
Definition at line 93 of file StatsIterator.cc.
| bool PLearn::MeanStatsIterator::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 109 of file StatsIterator.cc.
References i.
| OptionList & PLearn::MeanStatsIterator::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 93 of file StatsIterator.cc.
| OptionMap & PLearn::MeanStatsIterator::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 93 of file StatsIterator.cc.
| RemoteMethodMap & PLearn::MeanStatsIterator::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 93 of file StatsIterator.cc.
| virtual string PLearn::MeanStatsIterator::info | ( | ) | const [inline, virtual] |
Returns a bit more informative string about object (default returns classname())
Reimplemented from PLearn::Object.
Definition at line 118 of file StatsIterator.h.
{ return "mean"; }
| void PLearn::MeanStatsIterator::init | ( | int | inputsize | ) | [virtual] |
Call this method once with the correct inputsize.
Implements PLearn::StatsIterator.
Definition at line 95 of file StatsIterator.cc.
| void PLearn::MeanStatsIterator::oldwrite | ( | ostream & | out | ) | const [virtual] |
Reimplemented from PLearn::StatsIterator.
Definition at line 125 of file StatsIterator.cc.
References PLearn::write(), PLearn::writeField(), PLearn::writeFooter(), and PLearn::writeHeader().
{
writeHeader(out,"MeanStatsIterator");
inherited::write(out);
writeField(out,"nsamples",nsamples);
writeFooter(out,"MeanStatsIterator");
}

| void PLearn::MeanStatsIterator::update | ( | const Vec & | input | ) | [virtual] |
Then iterate over the data set and call this method for each row.
Implements PLearn::StatsIterator.
Definition at line 104 of file StatsIterator.cc.
References PLearn::addIfNonMissing().
{
addIfNonMissing(input,nsamples,result);
}

Reimplemented from PLearn::StatsIterator.
Definition at line 122 of file StatsIterator.h.
TVec<int> PLearn::MeanStatsIterator::nsamples [protected] |
Definition at line 115 of file StatsIterator.h.
Referenced by declareOptions().
1.7.4