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PLearn 0.1
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#include <NegLogProbCostFunction.h>


Public Member Functions | |
| NegLogProbCostFunction (bool do_normalize=false, bool do_smooth_map_outputs=false) | |
| virtual string | classname () const |
| virtual OptionList & | getOptionList () const |
| virtual OptionMap & | getOptionMap () const |
| virtual RemoteMethodMap & | getRemoteMethodMap () const |
| virtual NegLogProbCostFunction * | 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 () |
Public Attributes | |
| bool | normalize |
| bool | smooth_map_outputs |
Static Public Attributes | |
| static StaticInitializer | _static_initializer_ |
Static Protected Member Functions | |
| static void | declareOptions (OptionList &ol) |
| recognized options are "normalize" and "smooth_map_outputs" | |
Private Types | |
| typedef Kernel | inherited |
The target is an integer between 0 and n_classes-1 corresponding to a class Y, and the output is a vector of length n_classes of non-negative estimated conditional probabilities P(Y=i|X) for class i (i=0 to n_classes-1), or if n_classes=2, the output could be a vector of length 1 containing P(Y=1|X). The cost is
Definition at line 62 of file NegLogProbCostFunction.h.
typedef Kernel PLearn::NegLogProbCostFunction::inherited [private] |
Reimplemented from PLearn::Kernel.
Definition at line 64 of file NegLogProbCostFunction.h.
| PLearn::NegLogProbCostFunction::NegLogProbCostFunction | ( | bool | do_normalize = false, |
| bool | do_smooth_map_outputs = false |
||
| ) | [inline] |
Definition at line 80 of file NegLogProbCostFunction.h.
: normalize(do_normalize), smooth_map_outputs(do_smooth_map_outputs) {}
| string PLearn::NegLogProbCostFunction::_classname_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 55 of file NegLogProbCostFunction.cc.
| OptionList & PLearn::NegLogProbCostFunction::_getOptionList_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 55 of file NegLogProbCostFunction.cc.
| RemoteMethodMap & PLearn::NegLogProbCostFunction::_getRemoteMethodMap_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 55 of file NegLogProbCostFunction.cc.
Reimplemented from PLearn::Kernel.
Definition at line 55 of file NegLogProbCostFunction.cc.
| Object * PLearn::NegLogProbCostFunction::_new_instance_for_typemap_ | ( | ) | [static] |
Reimplemented from PLearn::Object.
Definition at line 55 of file NegLogProbCostFunction.cc.
| StaticInitializer NegLogProbCostFunction::_static_initializer_ & PLearn::NegLogProbCostFunction::_static_initialize_ | ( | ) | [static] |
Reimplemented from PLearn::Kernel.
Definition at line 55 of file NegLogProbCostFunction.cc.
| string PLearn::NegLogProbCostFunction::classname | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file NegLogProbCostFunction.cc.
| void PLearn::NegLogProbCostFunction::declareOptions | ( | OptionList & | ol | ) | [static, protected] |
recognized options are "normalize" and "smooth_map_outputs"
Reimplemented from PLearn::Kernel.
Definition at line 133 of file NegLogProbCostFunction.cc.
References PLearn::OptionBase::buildoption, PLearn::declareOption(), normalize, and smooth_map_outputs.
{
declareOption(ol, "normalize", &NegLogProbCostFunction::normalize, OptionBase::buildoption,
"TODO: Some comments");
declareOption(ol, "smooth_map_outputs", &NegLogProbCostFunction::smooth_map_outputs, OptionBase::buildoption,
"TODO: Some comments");
inherited::declareOptions(ol);
}

| static const PPath& PLearn::NegLogProbCostFunction::declaringFile | ( | ) | [inline, static] |
Reimplemented from PLearn::Kernel.
Definition at line 83 of file NegLogProbCostFunction.h.
{ return "negative_log_probability"; }
| NegLogProbCostFunction * PLearn::NegLogProbCostFunction::deepCopy | ( | CopiesMap & | copies | ) | const [virtual] |
Reimplemented from PLearn::Kernel.
Definition at line 55 of file NegLogProbCostFunction.cc.
** Subclasses must override this method **
returns K(x1,x2)
Implements PLearn::Kernel.
Definition at line 59 of file NegLogProbCostFunction.cc.
References PLearn::TVec< T >::data(), i, PLearn::TVec< T >::length(), PLearn::normalize(), PLERROR, PLearn::PLMPI::rank, PLearn::safeflog(), PLearn::PLMPI::size, smoothmap, and PLearn::sum().
{
real prob = 0.;
int desired_class = int(target[0]);
if (desired_class == -1) desired_class=0;
if(output.length()==1) // we assume output[0] gives the probability of having class 1
{
prob = output[0];
if(smooth_map_outputs)
prob = smoothmap(prob);
if(desired_class==0)
prob = 1-prob;
}
else
{
if(!normalize) // we assume output gives a real probability for each class
#if USING_MPI
#define SEND_PROB_TAG 981
{
// EACH CPU ONLY CARRIES THE CORRECT outputs IN THE INTERVAL
// GIVEN BY [out_start,out_end).
// THE RESULT WILL BE THAT CPU 0 WILL HAVE
// THE PROBABILITY OF desired_class IN prob
// (and the other CPUs will have some dummy value)
if (PLMPI::size>1 && out_end>=0)
{
if (desired_class>=out_start && desired_class<out_end)
{
prob = output[desired_class];
if (PLMPI::rank>0) // send it to CPU 0
{
MPI_Send(&prob,1,PLMPI_REAL,0,SEND_PROB_TAG,MPI_COMM_WORLD);
}
}
else
{
if (PLMPI::rank==0)
{
MPI_Status status;
MPI_Recv(&prob,1,PLMPI_REAL,MPI_ANY_SOURCE,SEND_PROB_TAG,MPI_COMM_WORLD,&status);
}
else
{
prob = 1; // dummy value (whose log exists)
}
}
}
else
prob = output[desired_class];
}
#else
prob = output[desired_class];
#endif
else // outputs may not sum to 1, so we'll normalize them
{
#if USING_MPI
if (PLMPI::size>1 && out_end>=0)
PLERROR("condprob used in parallel mode: normalize not implemented");
#endif
real* outputdata = output.data();
if(smooth_map_outputs) // outputs may be slightly smaller than 0 or slightly larger than 1
{ // so we'll smooth-map them to fit in range [0,1] before normalizing
real outputsum = 0.0;
for(int i=0; i<output.length(); i++)
outputsum += smoothmap(outputdata[i]);
prob = smoothmap(outputdata[desired_class])/outputsum;
}
else
prob = output[desired_class]/sum(output, false);
}
}
return -safeflog(prob);
}

| OptionList & PLearn::NegLogProbCostFunction::getOptionList | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file NegLogProbCostFunction.cc.
| OptionMap & PLearn::NegLogProbCostFunction::getOptionMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file NegLogProbCostFunction.cc.
| RemoteMethodMap & PLearn::NegLogProbCostFunction::getRemoteMethodMap | ( | ) | const [virtual] |
Reimplemented from PLearn::Object.
Definition at line 55 of file NegLogProbCostFunction.cc.
| virtual string PLearn::NegLogProbCostFunction::info | ( | ) | const [inline, virtual] |
Returns a bit more informative string about object (default returns classname())
Reimplemented from PLearn::Object.
Definition at line 85 of file NegLogProbCostFunction.h.
{ return "negative_log_probability"; }
Reimplemented from PLearn::Kernel.
Definition at line 83 of file NegLogProbCostFunction.h.
Definition at line 67 of file NegLogProbCostFunction.h.
Referenced by declareOptions().
Definition at line 68 of file NegLogProbCostFunction.h.
Referenced by declareOptions().
1.7.4