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PLearn::MulticlassErrorCostFunction Member List

This is the complete list of members for PLearn::MulticlassErrorCostFunction, including all inherited members.

_classname_()PLearn::Object [static]
_getOptionList_()PLearn::Object [static]
_isa_(Object *o)PLearn::Object [static]
_new_instance_for_typemap_()PLearn::Object [static]
_static_initialize_()PLearn::Object [static]
_static_initializer_PLearn::Object [static]
addDataForKernelMatrix(const Vec &newRow)PLearn::Kernel [virtual]
apply(VMat m1, VMat m2, Mat &result) constPLearn::Kernel
apply(VMat m1, VMat m2) constPLearn::Kernel
apply(VMat m, const Vec &x, Vec &result) constPLearn::Kernel
apply(Vec x, VMat m, Vec &result) constPLearn::Kernel
build()PLearn::Kernel [virtual]
call(const string &methodname, int nargs, PStream &in_parameters, PStream &out_results)PLearn::Object [virtual]
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
classname() constPLearn::Object [virtual]
computeGramMatrix(Mat K) constPLearn::Kernel [virtual]
computeKNNeighbourMatrixFromDistanceMatrix(const Mat &D, int knn, bool insure_self_first_neighbour=true, bool report_progress=false)PLearn::Kernel [static]
computeNearestNeighbors(const Vec &x, Mat &k_xi_x_sorted, int knn) constPLearn::Kernel
computeNeighbourMatrixFromDistanceMatrix(const Mat &D, bool insure_self_first_neighbour=true, bool report_progress=false)PLearn::Kernel [static]
dataPLearn::Kernel [protected]
data_inputsizePLearn::Kernel [protected]
dataInputsize()PLearn::Kernel [inline, virtual]
declareOptions(OptionList &ol)PLearn::Kernel [protected, static]
deepCopy(CopiesMap &copies) constPLearn::Object [virtual]
estimateHistograms(VMat d, real sameness_threshold, real minval, real maxval, int nbins) constPLearn::Kernel
estimateHistograms(Mat input_and_class, real minval, real maxval, int nbins) constPLearn::Kernel
evaluate(const Vec &output, const Vec &target) constPLearn::MulticlassErrorCostFunction [virtual]
evaluate_all_i_x(const Vec &x, Vec &k_xi_x, real squared_norm_of_x=-1, int istart=0) constPLearn::Kernel
evaluate_all_x_i(const Vec &x, Vec &k_x_xi, real squared_norm_of_x=-1, int istart=0) constPLearn::Kernel
evaluate_i_j(int i, int j) constPLearn::Kernel [virtual]
evaluate_i_x(int i, const Vec &x, real squared_norm_of_x=-1) constPLearn::Kernel [virtual]
evaluate_i_x_again(int i, const Vec &x, real squared_norm_of_x=-1, bool first_time=false) constPLearn::Kernel [virtual]
evaluate_x_i(const Vec &x, int i, real squared_norm_of_x=-1) constPLearn::Kernel [virtual]
evaluate_x_i_again(const Vec &x, int i, real squared_norm_of_x=-1, bool first_time=false) constPLearn::Kernel [virtual]
getData()PLearn::Kernel [inline]
getOption(const string &optionname) constPLearn::Object
getOptionList() constPLearn::Object [virtual]
getOptionsToSave() constPLearn::Object [virtual]
getParameters() constPLearn::Kernel [virtual]
hasData()PLearn::Kernel
info() constPLearn::MulticlassErrorCostFunction [inline, virtual]
inherited typedefPLearn::MulticlassErrorCostFunction [private]
is_symmetricPLearn::Kernel
isInData(const Vec &x, int *i=0) constPLearn::Kernel
Kernel(bool is__symmetric=true)PLearn::Kernel
load(const string &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::Kernel [virtual]
MulticlassErrorCostFunction()PLearn::MulticlassErrorCostFunction [inline]
n_examplesPLearn::Kernel [protected]
newread(PStream &in)PLearn::Object
newwrite(PStream &out) constPLearn::Object
nExamples()PLearn::Kernel [inline, virtual]
Object()PLearn::Object
oldread(istream &in)PLearn::Object [virtual]
operator()(const Vec &x1, const Vec &x2) constPLearn::Kernel [inline]
PLEARN_DECLARE_ABSTRACT_OBJECT(Kernel)PLearn::Kernel
PLEARN_DECLARE_OBJECT(MulticlassErrorCostFunction)PLearn::MulticlassErrorCostFunction
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
prepareToSendResults(PStream &out, int nres)PLearn::Object [inline, protected]
print(ostream &out) constPLearn::Object [virtual]
read(istream &in)PLearn::Object [virtual]
readOptionVal(PStream &in, const string &optionname)PLearn::Object
ref() constPLearn::PPointable [inline]
report_progressPLearn::Kernel
run()PLearn::Object [virtual]
save(const string &filename) constPLearn::Object [virtual]
setDataForKernelMatrix(VMat the_data)PLearn::Kernel [virtual]
setOption(const string &optionname, const string &value)PLearn::Object
setParameters(Vec paramvec)PLearn::Kernel [virtual]
specify_datasetPLearn::Kernel
test(VMat d, real threshold, real sameness_below_threshold, real sameness_above_threshold) constPLearn::Kernel
unref() constPLearn::PPointable [inline]
usage() constPLearn::PPointable [inline]
write(ostream &out) constPLearn::Object [virtual]
writeOptionVal(PStream &out, const string &optionname) constPLearn::Object
~Kernel()PLearn::Kernel [virtual]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]


Generated on Tue Aug 17 16:23:34 2004 for PLearn by doxygen 1.3.7