PLearn 0.1
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cost = sum_i {cost_i}, with cost_i = 1 if (target_i == 1 && output_i < 1/2) cost_i = 1 if (target_i == 0 && output_i > 1/2) cost_i = 0 otherwise More...
#include <MulticlassLossVariable.h>
Public Member Functions | |
MulticlassLossVariable () | |
Default constructor for persistence. | |
MulticlassLossVariable (Variable *netout, Variable *target) | |
virtual string | classname () const |
virtual OptionList & | getOptionList () const |
virtual OptionMap & | getOptionMap () const |
virtual RemoteMethodMap & | getRemoteMethodMap () const |
virtual MulticlassLossVariable * | deepCopy (CopiesMap &copies) const |
virtual void | build () |
Post-constructor. | |
virtual void | recomputeSize (int &l, int &w) const |
Recomputes the length l and width w that this variable should have, according to its parent variables. | |
virtual void | fprop () |
compute output given input | |
virtual void | bprop () |
can't bprop through a hard classification error... | |
Static Public Member Functions | |
static string | _classname_ () |
MulticlassLossVariable. | |
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_ |
Protected Member Functions | |
void | build_ () |
This does the actual building. | |
Private Types | |
typedef BinaryVariable | inherited |
cost = sum_i {cost_i}, with cost_i = 1 if (target_i == 1 && output_i < 1/2) cost_i = 1 if (target_i == 0 && output_i > 1/2) cost_i = 0 otherwise
Definition at line 57 of file MulticlassLossVariable.h.
typedef BinaryVariable PLearn::MulticlassLossVariable::inherited [private] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 59 of file MulticlassLossVariable.h.
PLearn::MulticlassLossVariable::MulticlassLossVariable | ( | ) | [inline] |
Definition at line 55 of file MulticlassLossVariable.cc.
References build_().
string PLearn::MulticlassLossVariable::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 53 of file MulticlassLossVariable.cc.
OptionList & PLearn::MulticlassLossVariable::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 53 of file MulticlassLossVariable.cc.
RemoteMethodMap & PLearn::MulticlassLossVariable::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 53 of file MulticlassLossVariable.cc.
Reimplemented from PLearn::BinaryVariable.
Definition at line 53 of file MulticlassLossVariable.cc.
Object * PLearn::MulticlassLossVariable::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 53 of file MulticlassLossVariable.cc.
StaticInitializer MulticlassLossVariable::_static_initializer_ & PLearn::MulticlassLossVariable::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 53 of file MulticlassLossVariable.cc.
virtual void PLearn::MulticlassLossVariable::bprop | ( | ) | [inline, virtual] |
can't bprop through a hard classification error...
Implements PLearn::Variable.
Definition at line 73 of file MulticlassLossVariable.h.
{}
void PLearn::MulticlassLossVariable::build | ( | ) | [virtual] |
Post-constructor.
The normal implementation should call simply inherited::build(), then this class's build_(). This method should be callable again at later times, after modifying some option fields to change the "architecture" of the object.
Reimplemented from PLearn::BinaryVariable.
Definition at line 62 of file MulticlassLossVariable.cc.
References PLearn::BinaryVariable::build(), and build_().
{ inherited::build(); build_(); }
void PLearn::MulticlassLossVariable::build_ | ( | ) | [protected] |
This does the actual building.
Reimplemented from PLearn::BinaryVariable.
Definition at line 69 of file MulticlassLossVariable.cc.
References PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, and PLERROR.
Referenced by build(), and MulticlassLossVariable().
{ if (input1 && input2) { // input1 and input2 are (respectively) netout and target from constructor if(input1->size() != input2->size()) PLERROR("In MulticlassLossVariable: netout and target must the same size"); } }
string PLearn::MulticlassLossVariable::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 53 of file MulticlassLossVariable.cc.
static const PPath& PLearn::MulticlassLossVariable::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 66 of file MulticlassLossVariable.h.
{}
MulticlassLossVariable * PLearn::MulticlassLossVariable::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::BinaryVariable.
Definition at line 53 of file MulticlassLossVariable.cc.
void PLearn::MulticlassLossVariable::fprop | ( | ) | [virtual] |
compute output given input
Implements PLearn::Variable.
Definition at line 83 of file MulticlassLossVariable.cc.
References PLearn::fast_exact_is_equal(), i, PLearn::BinaryVariable::input1, PLearn::BinaryVariable::input2, PLASSERT, and PLearn::Variable::valuedata.
{ real cost = 0.0; for (int i=0; i<input1->size(); i++) { real output = input1->valuedata[i]; real target = input2->valuedata[i]; PLASSERT( fast_exact_is_equal(target, 1) || fast_exact_is_equal(target, 0) ); cost += fast_exact_is_equal(target, 1) ? output<0.5 : output>0.5; } valuedata[0] = cost; }
OptionList & PLearn::MulticlassLossVariable::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 53 of file MulticlassLossVariable.cc.
OptionMap & PLearn::MulticlassLossVariable::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 53 of file MulticlassLossVariable.cc.
RemoteMethodMap & PLearn::MulticlassLossVariable::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 53 of file MulticlassLossVariable.cc.
Recomputes the length l and width w that this variable should have, according to its parent variables.
This is used for ex. by sizeprop() The default version stupidly returns the current dimensions, so make sure to overload it in subclasses if this is not appropriate.
Reimplemented from PLearn::Variable.
Definition at line 79 of file MulticlassLossVariable.cc.
{ l=1, w=1; }
Reimplemented from PLearn::BinaryVariable.
Definition at line 66 of file MulticlassLossVariable.h.