, including all inherited members.
_classname_() | PLearn::IIDNoiseKernel | [static] |
_getOptionList_() | PLearn::IIDNoiseKernel | [static] |
_getRemoteMethodMap_() | PLearn::IIDNoiseKernel | [static] |
_isa_(const Object *o) | PLearn::IIDNoiseKernel | [static] |
_new_instance_for_typemap_() | PLearn::IIDNoiseKernel | [static] |
_static_initialize_() | PLearn::IIDNoiseKernel | [static] |
_static_initializer_ | PLearn::IIDNoiseKernel | [static] |
addDataForKernelMatrix(const Vec &newRow) | PLearn::MemoryCachedKernel | [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::IIDNoiseKernel | [virtual] |
build_() | PLearn::IIDNoiseKernel | [private] |
cache_gram_matrix | PLearn::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::IIDNoiseKernel | [virtual] |
computeGramMatrix(Mat K) const | PLearn::IIDNoiseKernel | [virtual] |
computeGramMatrixDerivative(Mat &KD, const string &kernel_param, real epsilon=1e-6) const | PLearn::IIDNoiseKernel | [virtual] |
computeGramMatrixDerivKronecker(Mat &KD) const | PLearn::IIDNoiseKernel | [protected] |
computeGramMatrixDerivNV(Mat &KD, const DerivedClass *This, int arg, bool derivative_func_requires_K=true) const | PLearn::MemoryCachedKernel | [protected] |
computeGramMatrixNV(Mat K, const DerivedClass *This) const | PLearn::MemoryCachedKernel | [protected] |
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] |
data | PLearn::Kernel | [protected] |
data_inputsize | PLearn::Kernel | [protected] |
dataCached() const | PLearn::MemoryCachedKernel | [inline] |
dataInputsize() const | PLearn::Kernel | [inline] |
dataRow(int i, Vec &row) const | PLearn::MemoryCachedKernel | [inline, protected] |
dataRow(int i) const | PLearn::MemoryCachedKernel | [inline, protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::Kernel | [protected, static] |
declareOptions(OptionList &ol) | PLearn::IIDNoiseKernel | [protected, static] |
declaringFile() | PLearn::IIDNoiseKernel | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::IIDNoiseKernel | [virtual] |
deepCopyNoMap() | PLearn::Object | |
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 &x1, const Vec &x2) const | PLearn::IIDNoiseKernel | [virtual] |
evaluate_all_i_x(const Vec &x, const Vec &k_xi_x, real squared_norm_of_x=-1, int istart=0) const | PLearn::IIDNoiseKernel | [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) const | PLearn::IIDNoiseKernel | [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] |
evaluateAllIXNV(const Vec &x, const Vec &k_xi_x, int istart) const | PLearn::MemoryCachedKernel | [protected] |
getData() | PLearn::Kernel | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::IIDNoiseKernel | [virtual] |
getOptionMap() const | PLearn::IIDNoiseKernel | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getParameters() const | PLearn::Kernel | [virtual] |
getRemoteMethodMap() const | PLearn::IIDNoiseKernel | [virtual] |
gram_matrix | PLearn::Kernel | [mutable, protected] |
gram_matrix_is_cached | PLearn::Kernel | [mutable, protected] |
hasData() | PLearn::Kernel | |
hasOption(const string &optionname) const | PLearn::Object | |
IIDNoiseKernel() | PLearn::IIDNoiseKernel | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::IIDNoiseKernel | [private] |
is_symmetric | PLearn::Kernel | |
isInData(const Vec &x, int *i=0) const | PLearn::Kernel | |
Kernel(bool is__symmetric=true, bool call_build_=false) | PLearn::Kernel | |
KroneckerBaseKernel() | PLearn::KroneckerBaseKernel | |
load(const PPath &filename) | PLearn::Object | [virtual] |
m_cache_threshold | PLearn::MemoryCachedKernel | |
m_data_cache | PLearn::MemoryCachedKernel | [protected] |
m_default_value | PLearn::KroneckerBaseKernel | [mutable, protected] |
m_isp_kronecker_sigma | PLearn::IIDNoiseKernel | |
m_isp_noise_sigma | PLearn::IIDNoiseKernel | |
m_kronecker_indexes | PLearn::KroneckerBaseKernel | |
m_row_cache | PLearn::MemoryCachedKernel | [protected] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::IIDNoiseKernel | [virtual] |
MemoryCachedKernel() | PLearn::MemoryCachedKernel | |
n_examples | PLearn::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_progress | PLearn::Kernel | |
returnComputedGramMatrix() const | PLearn::Kernel | [virtual] |
run() | PLearn::Object | [virtual] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
setDataForKernelMatrix(VMat the_data) | PLearn::MemoryCachedKernel | [virtual] |
setOption(const string &optionname, const string &value) | PLearn::Object | |
setParameters(Vec paramvec) | PLearn::Kernel | [virtual] |
softplusFloor(real &value, real floor=1e-6) | PLearn::KroneckerBaseKernel | [protected, static] |
sparse_gram_matrix | PLearn::Kernel | [mutable, protected] |
sparse_gram_matrix_is_cached | PLearn::Kernel | [mutable, protected] |
specify_dataset | PLearn::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] |