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PLearn 0.1
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********************************************************* The following 'kernels' are rather used as cost functions More...
#include <SquaredErrorCostFunction.h>


Public Member Functions | |
| SquaredErrorCostFunction (int the_targetindex=-1) | |
| SquaredErrorCostFunction (real hot_value, real cold_value) | |
| Constructor for classification (target is interpreted as onehot) | |
| virtual string | classname () const |
| virtual OptionList & | getOptionList () const |
| virtual OptionMap & | getOptionMap () const |
| virtual RemoteMethodMap & | getRemoteMethodMap () const |
| virtual SquaredErrorCostFunction * | deepCopy (CopiesMap &copies) const |
| virtual string | info () const |
| Returns a bit more informative string about object (default returns classname()) | |
| virtual real | evaluate (const Vec &output, const Vec &target) const |
| ** Subclasses must override this method ** | |
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) |
| recognized option is "targetindex" | |
Protected Attributes | |
| int | targetindex |
| index in target vector of the target value to use to compute the squared error (if -1, sum all the squared errors) | |
| bool | classification |
| real | hotvalue |
| real | coldvalue |
Private Types | |
| typedef Kernel | inherited |
********************************************************* The following 'kernels' are rather used as cost functions
Definition at line 55 of file SquaredErrorCostFunction.h.
typedef Kernel PLearn::SquaredErrorCostFunction::inherited [private] |
Reimplemented from PLearn::Kernel.
Definition at line 57 of file SquaredErrorCostFunction.h.
| PLearn::SquaredErrorCostFunction::SquaredErrorCostFunction | ( | int | the_targetindex = -1 | ) | [inline] |
Definition at line 67 of file SquaredErrorCostFunction.h.
:targetindex(the_targetindex), classification(false), hotvalue(1), coldvalue(0) {};
| PLearn::SquaredErrorCostFunction::SquaredErrorCostFunction | ( | real | hot_value, |
| real | cold_value | ||
| ) | [inline] |
Constructor for classification (target is interpreted as onehot)
Definition at line 71 of file SquaredErrorCostFunction.h.
: targetindex(-1), classification(true), hotvalue(hot_value), coldvalue(cold_value) {};
| string PLearn::SquaredErrorCostFunction::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| OptionList & PLearn::SquaredErrorCostFunction::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| RemoteMethodMap & PLearn::SquaredErrorCostFunction::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 50 of file SquaredErrorCostFunction.cc.
Reimplemented from PLearn::Kernel.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| Object * PLearn::SquaredErrorCostFunction::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| StaticInitializer SquaredErrorCostFunction::_static_initializer_ & PLearn::SquaredErrorCostFunction::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| string PLearn::SquaredErrorCostFunction::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| void PLearn::SquaredErrorCostFunction::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
recognized option is "targetindex"
Reimplemented from PLearn::Kernel.
Definition at line 83 of file SquaredErrorCostFunction.cc.
References PLearn::OptionBase::buildoption, classification, coldvalue, PLearn::declareOption(), hotvalue, and targetindex.
{
declareOption(ol, "targetindex", &SquaredErrorCostFunction::targetindex, OptionBase::buildoption, "Index of target");
declareOption(ol, "hotvalue", &SquaredErrorCostFunction::hotvalue, OptionBase::buildoption, "Hot value");
declareOption(ol, "coldvalue", &SquaredErrorCostFunction::coldvalue, OptionBase::buildoption, "Cold value");
declareOption(ol, "classification", &SquaredErrorCostFunction::classification, OptionBase::buildoption, "Used as classification cost");
inherited::declareOptions(ol);
}

| static const PPath& PLearn::SquaredErrorCostFunction::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::Kernel.
Definition at line 74 of file SquaredErrorCostFunction.h.
{ return "squared_error"; }
| SquaredErrorCostFunction * PLearn::SquaredErrorCostFunction::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::Kernel.
Definition at line 50 of file SquaredErrorCostFunction.cc.
** Subclasses must override this method **
returns K(x1,x2)
Implements PLearn::Kernel.
Definition at line 52 of file SquaredErrorCostFunction.cc.
References PLearn::TVec< T >::data(), i, PLearn::TVec< T >::length(), PLERROR, and PLearn::square().
{
#ifdef BOUNDCHECK
if(target.length()!=output.length() && classification==false)
PLERROR("In SquaredErrorCostFunction::evaluate target.length() %d should be equal to output.length() %d",target.length(),output.length());
#endif
real result = 0.0;
if (targetindex>=0)
result = square(output[targetindex]-target[targetindex]);
else
{
real* outputdata = output.data();
real* targetdata = target.data();
if (classification) {
if (target.length() != 1)
PLERROR("In SquaredErrorCostFunction::evaluate target.length() %s should be 1", target.length());
for (int i = 0; i < output.length(); ++i)
if (i == targetdata[0])
result += square(outputdata[i] - hotvalue);
else
result += square(outputdata[i] - coldvalue);
} else {
for(int i=0; i<output.length(); i++)
result += square(outputdata[i]-targetdata[i]);
}
}
return result;
}

| OptionList & PLearn::SquaredErrorCostFunction::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| OptionMap & PLearn::SquaredErrorCostFunction::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| RemoteMethodMap & PLearn::SquaredErrorCostFunction::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 50 of file SquaredErrorCostFunction.cc.
| virtual string PLearn::SquaredErrorCostFunction::info | ( | ) | const [inline, virtual] |
Returns a bit more informative string about object (default returns classname())
Reimplemented from PLearn::Object.
Definition at line 76 of file SquaredErrorCostFunction.h.
{ return "squared_error"; }
Reimplemented from PLearn::Kernel.
Definition at line 74 of file SquaredErrorCostFunction.h.
bool PLearn::SquaredErrorCostFunction::classification [protected] |
Definition at line 63 of file SquaredErrorCostFunction.h.
Referenced by declareOptions().
real PLearn::SquaredErrorCostFunction::coldvalue [protected] |
Definition at line 64 of file SquaredErrorCostFunction.h.
Referenced by declareOptions().
real PLearn::SquaredErrorCostFunction::hotvalue [protected] |
Definition at line 64 of file SquaredErrorCostFunction.h.
Referenced by declareOptions().
int PLearn::SquaredErrorCostFunction::targetindex [protected] |
index in target vector of the target value to use to compute the squared error (if -1, sum all the squared errors)
Definition at line 62 of file SquaredErrorCostFunction.h.
Referenced by declareOptions().
1.7.4