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 ExpMeanStatsIterator * | 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 136 of file StatsIterator.h.
typedef StatsIterator PLearn::ExpMeanStatsIterator::inherited [private] |
Reimplemented from PLearn::StatsIterator.
Definition at line 138 of file StatsIterator.h.
string PLearn::ExpMeanStatsIterator::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 147 of file StatsIterator.cc.
OptionList & PLearn::ExpMeanStatsIterator::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 147 of file StatsIterator.cc.
RemoteMethodMap & PLearn::ExpMeanStatsIterator::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 147 of file StatsIterator.cc.
Reimplemented from PLearn::StatsIterator.
Definition at line 147 of file StatsIterator.cc.
Object * PLearn::ExpMeanStatsIterator::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 147 of file StatsIterator.cc.
StaticInitializer ExpMeanStatsIterator::_static_initializer_ & PLearn::ExpMeanStatsIterator::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 147 of file StatsIterator.cc.
string PLearn::ExpMeanStatsIterator::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 147 of file StatsIterator.cc.
void PLearn::ExpMeanStatsIterator::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 170 of file StatsIterator.cc.
References PLearn::declareOption(), PLearn::OptionBase::learntoption, and nsamples.
{ declareOption(ol, "nsamples", &ExpMeanStatsIterator::nsamples, OptionBase::learntoption, " nsamples\n"); inherited::declareOptions(ol); }
static const PPath& PLearn::ExpMeanStatsIterator::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 149 of file StatsIterator.h.
: static void declareOptions(OptionList& ol);
ExpMeanStatsIterator * PLearn::ExpMeanStatsIterator::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::StatsIterator.
Definition at line 147 of file StatsIterator.cc.
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 163 of file StatsIterator.cc.
References PLearn::exp(), and i.
OptionList & PLearn::ExpMeanStatsIterator::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 147 of file StatsIterator.cc.
OptionMap & PLearn::ExpMeanStatsIterator::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 147 of file StatsIterator.cc.
RemoteMethodMap & PLearn::ExpMeanStatsIterator::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 147 of file StatsIterator.cc.
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 144 of file StatsIterator.h.
{ return "exp_mean"; }
void PLearn::ExpMeanStatsIterator::init | ( | int | inputsize | ) | [virtual] |
Call this method once with the correct inputsize.
Implements PLearn::StatsIterator.
Definition at line 149 of file StatsIterator.cc.
void PLearn::ExpMeanStatsIterator::oldwrite | ( | ostream & | out | ) | const [virtual] |
Reimplemented from PLearn::StatsIterator.
Definition at line 178 of file StatsIterator.cc.
References PLearn::write(), PLearn::writeField(), PLearn::writeFooter(), and PLearn::writeHeader().
{ writeHeader(out,"ExpMeanStatsIterator"); inherited::write(out); writeField(out,"nsamples",nsamples); writeFooter(out,"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 158 of file StatsIterator.cc.
References PLearn::addIfNonMissing().
{ addIfNonMissing(input,nsamples,result); }
Reimplemented from PLearn::StatsIterator.
Definition at line 149 of file StatsIterator.h.
TVec<int> PLearn::ExpMeanStatsIterator::nsamples [protected] |
Definition at line 141 of file StatsIterator.h.
Referenced by declareOptions().