PLearn 0.1
PLearn::DirectNegativeCostFunction Member List
This is the complete list of members for PLearn::DirectNegativeCostFunction, including all inherited members.
_classname_()PLearn::DirectNegativeCostFunction [static]
_getOptionList_()PLearn::DirectNegativeCostFunction [static]
_getRemoteMethodMap_()PLearn::DirectNegativeCostFunction [static]
_isa_(const Object *o)PLearn::DirectNegativeCostFunction [static]
_new_instance_for_typemap_()PLearn::DirectNegativeCostFunction [static]
_static_initialize_()PLearn::DirectNegativeCostFunction [static]
_static_initializer_PLearn::DirectNegativeCostFunction [static]
addDataForKernelMatrix(const Vec &newRow)PLearn::Kernel [virtual]
apply(VMat m1, VMat m2, Mat &result) const PLearn::Kernel
apply(VMat m1, VMat m2) const PLearn::Kernel
apply(VMat m, const Vec &x, Vec &result) const PLearn::Kernel
apply(Vec x, VMat m, Vec &result) const PLearn::Kernel
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
build()PLearn::Kernel [virtual]
cache_gram_matrixPLearn::Kernel
call(const string &methodname, int nargs, PStream &io)PLearn::Object [virtual]
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
classname() const PLearn::DirectNegativeCostFunction [virtual]
computeGramMatrix(Mat K) const PLearn::Kernel [virtual]
computeGramMatrixDerivative(Mat &KD, const string &kernel_param, real epsilon=1e-6) const PLearn::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) const PLearn::Kernel
computeNeighbourMatrixFromDistanceMatrix(const Mat &D, bool insure_self_first_neighbour=true, bool report_progress=false)PLearn::Kernel [static]
computePartialGramMatrix(const TVec< int > &subset_indices, Mat K) const PLearn::Kernel [virtual]
computeSparseGramMatrix(TVec< Mat > K) const PLearn::Kernel [virtual]
computeTestGramMatrix(Mat test_elements, Mat K, Vec self_cov) const PLearn::Kernel [virtual]
dataPLearn::Kernel [protected]
data_inputsizePLearn::Kernel [protected]
dataInputsize() const PLearn::Kernel [inline]
declareMethods(RemoteMethodMap &rmm)PLearn::Kernel [protected, static]
declareOptions(OptionList &ol)PLearn::Kernel [protected, static]
declaringFile()PLearn::DirectNegativeCostFunction [inline, static]
deepCopy(CopiesMap &copies) const PLearn::DirectNegativeCostFunction [virtual]
deepCopyNoMap()PLearn::Object
DirectNegativeCostFunction()PLearn::DirectNegativeCostFunction [inline]
estimateHistograms(VMat d, real sameness_threshold, real minval, real maxval, int nbins) const PLearn::Kernel
estimateHistograms(Mat input_and_class, real minval, real maxval, int nbins) const PLearn::Kernel
evaluate(const Vec &output, const Vec &target) const PLearn::DirectNegativeCostFunction [virtual]
evaluate_all_i_x(const Vec &x, const Vec &k_xi_x, real squared_norm_of_x=-1, int istart=0) const PLearn::Kernel [virtual]
evaluate_all_x_i(const Vec &x, const Vec &k_x_xi, real squared_norm_of_x=-1, int istart=0) const PLearn::Kernel [virtual]
evaluate_i_j(int i, int j) const PLearn::Kernel [virtual]
evaluate_i_x(int i, const Vec &x, real squared_norm_of_x=-1) const PLearn::Kernel [virtual]
evaluate_i_x_again(int i, const Vec &x, real squared_norm_of_x=-1, bool first_time=false) const PLearn::Kernel [virtual]
evaluate_x_i(const Vec &x, int i, real squared_norm_of_x=-1) const PLearn::Kernel [virtual]
evaluate_x_i_again(const Vec &x, int i, real squared_norm_of_x=-1, bool first_time=false) const PLearn::Kernel [virtual]
getData()PLearn::Kernel [inline]
getOption(const string &optionname) const PLearn::Object
getOptionList() const PLearn::DirectNegativeCostFunction [virtual]
getOptionMap() const PLearn::DirectNegativeCostFunction [virtual]
getOptionsToRemoteTransmit() const PLearn::Object [virtual]
getOptionsToSave() const PLearn::Object [virtual]
getParameters() const PLearn::Kernel [virtual]
getRemoteMethodMap() const PLearn::DirectNegativeCostFunction [virtual]
gram_matrixPLearn::Kernel [mutable, protected]
gram_matrix_is_cachedPLearn::Kernel [mutable, protected]
hasData()PLearn::Kernel
hasOption(const string &optionname) const PLearn::Object
info() const PLearn::DirectNegativeCostFunction [inline, virtual]
inherited typedefPLearn::DirectNegativeCostFunction [private]
is_symmetricPLearn::Kernel
isInData(const Vec &x, int *i=0) const PLearn::Kernel
Kernel(bool is__symmetric=true, bool call_build_=false)PLearn::Kernel
load(const PPath &filename)PLearn::Object [virtual]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::Kernel [virtual]
n_examplesPLearn::Kernel [protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nExamples() const PLearn::Kernel [inline]
Object(bool call_build_=false)PLearn::Object
oldread(istream &in)PLearn::Object [virtual]
operator()(const Vec &x1, const Vec &x2) const PLearn::Kernel [inline]
parseOptionName(const string &optionname, Object *&final_object, OptionList::iterator &option_iter, string &option_index)PLearn::Object
parseOptionName(const string &optionname, const Object *&final_object, OptionList::iterator &option_iter, string &option_index) const PLearn::Object
PPointable()PLearn::PPointable [inline]
PPointable(const PPointable &other)PLearn::PPointable [inline]
prepareToSendResults(PStream &out, int nres)PLearn::Object [static]
read(istream &in)PLearn::Object [virtual]
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX)PLearn::Object
ref() const PLearn::PPointable [inline]
report_progressPLearn::Kernel
returnComputedGramMatrix() const PLearn::Kernel [virtual]
run()PLearn::Object [virtual]
save(const PPath &filename) const PLearn::Object [virtual]
setDataForKernelMatrix(VMat the_data)PLearn::Kernel [virtual]
setOption(const string &optionname, const string &value)PLearn::Object
setParameters(Vec paramvec)PLearn::Kernel [virtual]
sparse_gram_matrixPLearn::Kernel [mutable, protected]
sparse_gram_matrix_is_cachedPLearn::Kernel [mutable, protected]
specify_datasetPLearn::Kernel
test(VMat d, real threshold, real sameness_below_threshold, real sameness_above_threshold) const PLearn::Kernel
train(VMat data)PLearn::Kernel [virtual]
unref() const PLearn::PPointable [inline]
usage() const PLearn::PPointable [inline]
write(ostream &out) const PLearn::Object [virtual]
writeOptionVal(PStream &out, const string &optionname) const PLearn::Object
~Kernel()PLearn::Kernel [virtual]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]
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