PLearn 0.1
|
#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 MaxStatsIterator * | 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. | |
Private Types | |
typedef StatsIterator | inherited |
Definition at line 279 of file StatsIterator.h.
typedef StatsIterator PLearn::MaxStatsIterator::inherited [private] |
Reimplemented from PLearn::StatsIterator.
Definition at line 281 of file StatsIterator.h.
string PLearn::MaxStatsIterator::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 481 of file StatsIterator.cc.
OptionList & PLearn::MaxStatsIterator::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 481 of file StatsIterator.cc.
RemoteMethodMap & PLearn::MaxStatsIterator::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 481 of file StatsIterator.cc.
Reimplemented from PLearn::StatsIterator.
Definition at line 481 of file StatsIterator.cc.
Object * PLearn::MaxStatsIterator::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 481 of file StatsIterator.cc.
StaticInitializer MaxStatsIterator::_static_initializer_ & PLearn::MaxStatsIterator::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 481 of file StatsIterator.cc.
string PLearn::MaxStatsIterator::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 481 of file StatsIterator.cc.
void PLearn::MaxStatsIterator::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 502 of file StatsIterator.cc.
{ inherited::declareOptions(ol); }
static const PPath& PLearn::MaxStatsIterator::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::StatsIterator.
Definition at line 288 of file StatsIterator.h.
: static void declareOptions(OptionList& ol);
MaxStatsIterator * PLearn::MaxStatsIterator::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::StatsIterator.
Definition at line 481 of file StatsIterator.cc.
bool PLearn::MaxStatsIterator::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 499 of file StatsIterator.cc.
{ return true; }
OptionList & PLearn::MaxStatsIterator::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 481 of file StatsIterator.cc.
OptionMap & PLearn::MaxStatsIterator::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 481 of file StatsIterator.cc.
RemoteMethodMap & PLearn::MaxStatsIterator::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 481 of file StatsIterator.cc.
virtual string PLearn::MaxStatsIterator::info | ( | ) | const [inline, virtual] |
Returns a bit more informative string about object (default returns classname())
Reimplemented from PLearn::Object.
Definition at line 284 of file StatsIterator.h.
{ return "max"; }
void PLearn::MaxStatsIterator::init | ( | int | inputsize | ) | [virtual] |
Call this method once with the correct inputsize.
Implements PLearn::StatsIterator.
Definition at line 483 of file StatsIterator.cc.
void PLearn::MaxStatsIterator::oldwrite | ( | ostream & | out | ) | const [virtual] |
Reimplemented from PLearn::StatsIterator.
Definition at line 507 of file StatsIterator.cc.
References PLearn::write(), PLearn::writeFooter(), and PLearn::writeHeader().
{ writeHeader(out,"MaxStatsIterator"); inherited::write(out); writeFooter(out,"MaxStatsIterator"); }
void PLearn::MaxStatsIterator::update | ( | const Vec & | input | ) | [virtual] |
Then iterate over the data set and call this method for each row.
Implements PLearn::StatsIterator.
Definition at line 490 of file StatsIterator.cc.
References PLearn::TVec< T >::data(), i, and PLearn::TVec< T >::length().
{ real* inputdata = input.data(); real* resultdata = result.data(); for(int i=0; i<input.length(); i++) if(inputdata[i]>resultdata[i]) resultdata[i] = inputdata[i]; }
Reimplemented from PLearn::StatsIterator.
Definition at line 288 of file StatsIterator.h.