, including all inherited members.
_classname_() | PLearn::BasisSelectionRegressor | [static] |
_getOptionList_() | PLearn::BasisSelectionRegressor | [static] |
_getRemoteMethodMap_() | PLearn::BasisSelectionRegressor | [static] |
_isa_(const Object *o) | PLearn::BasisSelectionRegressor | [static] |
_new_instance_for_typemap_() | PLearn::BasisSelectionRegressor | [static] |
_static_initialize_() | PLearn::BasisSelectionRegressor | [static] |
_static_initializer_ | PLearn::BasisSelectionRegressor | [static] |
addInteractionFunction(RealFunc &f1, RealFunc &f2, TVec< RealFunc > &all_functions) | PLearn::BasisSelectionRegressor | [private] |
alphas | PLearn::BasisSelectionRegressor | |
appendCandidateFunctionsOfSingleField(int fieldnum, TVec< RealFunc > &functions) const | PLearn::BasisSelectionRegressor | [private] |
appendConstantFunction(TVec< RealFunc > &functions) const | PLearn::BasisSelectionRegressor | [private] |
appendFunctionToSelection(int candidate_index) | PLearn::BasisSelectionRegressor | [private] |
appendKernelFunctions(TVec< RealFunc > &functions) const | PLearn::BasisSelectionRegressor | [private] |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
b_costs | PLearn::PLearner | [mutable, protected] |
b_inputs | PLearn::PLearner | [mutable, protected] |
b_outputs | PLearn::PLearner | [mutable, protected] |
b_targets | PLearn::PLearner | [mutable, protected] |
b_weights | PLearn::PLearner | [mutable, protected] |
BasisSelectionRegressor() | PLearn::BasisSelectionRegressor | |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
build() | PLearn::BasisSelectionRegressor | [virtual] |
build_() | PLearn::BasisSelectionRegressor | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
buildAllCandidateFunctions() | PLearn::BasisSelectionRegressor | [private] |
buildSimpleCandidateFunctions() | PLearn::BasisSelectionRegressor | [private] |
buildTopCandidateFunctions() | PLearn::BasisSelectionRegressor | [private] |
call(const string &methodname, int nargs, PStream &io) | PLearn::Object | [virtual] |
candidate_functions | PLearn::BasisSelectionRegressor | [private] |
changeOption(const string &optionname, const string &value) | PLearn::Object | |
changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
classname() const | PLearn::BasisSelectionRegressor | [virtual] |
computeConfidenceFromOutput(const Vec &input, const Vec &output, real probability, TVec< pair< real, real > > &intervals) const | PLearn::PLearner | [virtual] |
computeCostsFromOutputs(const Vec &input, const Vec &output, const Vec &target, Vec &costs) const | PLearn::BasisSelectionRegressor | [virtual] |
computeCostsOnly(const Vec &input, const Vec &target, Vec &costs) const | PLearn::PLearner | [virtual] |
computeInputOutputConfMat(VMat inputs, real probability) const | PLearn::PLearner | |
computeInputOutputMat(VMat inputs) const | PLearn::PLearner | |
computeOrder(RealFunc &func, int &order) | PLearn::BasisSelectionRegressor | [private] |
computeOutput(const Vec &input, Vec &output) const | PLearn::BasisSelectionRegressor | [virtual] |
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const | PLearn::PLearner | [virtual] |
computeOutputConfMat(VMat inputs, real probability) const | PLearn::PLearner | |
computeOutputCovMat(const Mat &inputs, Mat &outputs, TVec< Mat > &covariance_matrices) const | PLearn::PLearner | [virtual] |
computeOutputFromFeaturevec(const Vec &featurevec, Vec &output) const | PLearn::BasisSelectionRegressor | [private] |
computeOutputs(const Mat &input, Mat &output) const | PLearn::PLearner | [virtual] |
computeOutputsAndCosts(const Mat &input, const Mat &target, Mat &output, Mat &costs) const | PLearn::PLearner | [virtual] |
computeWeightedAveragesWithResidue(const TVec< RealFunc > &functions, real &wsum, Vec &E_x, Vec &E_xx, real &E_y, real &E_yy, Vec &E_xy) const | PLearn::BasisSelectionRegressor | [private] |
consider_constant_function | PLearn::BasisSelectionRegressor | |
consider_input_range_indicators | PLearn::BasisSelectionRegressor | |
consider_interaction_terms | PLearn::BasisSelectionRegressor | |
consider_n_best_for_interaction | PLearn::BasisSelectionRegressor | |
consider_normalized_inputs | PLearn::BasisSelectionRegressor | |
consider_raw_inputs | PLearn::BasisSelectionRegressor | |
consider_sorted_encodings | PLearn::BasisSelectionRegressor | |
declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::BasisSelectionRegressor | [protected, static] |
declaringFile() | PLearn::BasisSelectionRegressor | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::BasisSelectionRegressor | [virtual] |
deepCopyNoMap() | PLearn::Object | |
expdir | PLearn::PLearner | |
explicit_functions | PLearn::BasisSelectionRegressor | |
explicit_interaction_functions | PLearn::BasisSelectionRegressor | |
explicit_interaction_variables | PLearn::BasisSelectionRegressor | |
features | PLearn::BasisSelectionRegressor | [private] |
featurevec | PLearn::BasisSelectionRegressor | [mutable, private] |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
findBestCandidateFunction(int &best_candidate_index, real &best_score) const | PLearn::BasisSelectionRegressor | [private] |
fixed_min_range | PLearn::BasisSelectionRegressor | |
forget() | PLearn::BasisSelectionRegressor | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::BasisSelectionRegressor | [virtual] |
getOptionMap() const | PLearn::BasisSelectionRegressor | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::BasisSelectionRegressor | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::BasisSelectionRegressor | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::BasisSelectionRegressor | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
hasOption(const string &optionname) const | PLearn::Object | |
indicator_desired_prob | PLearn::BasisSelectionRegressor | |
indicator_min_prob | PLearn::BasisSelectionRegressor | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::BasisSelectionRegressor | [private] |
initTargetsResidueWeight() | PLearn::BasisSelectionRegressor | [private] |
initTrain() | PLearn::PLearner | [protected] |
input | PLearn::BasisSelectionRegressor | [mutable, private] |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
interaction_max_order | PLearn::BasisSelectionRegressor | |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
kernel_centers | PLearn::BasisSelectionRegressor | [mutable] |
kernels | PLearn::BasisSelectionRegressor | |
learner | PLearn::BasisSelectionRegressor | |
load(const PPath &filename) | PLearn::Object | [virtual] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::BasisSelectionRegressor | [virtual] |
mandatory_functions | PLearn::BasisSelectionRegressor | |
master_sends_testset_rows | PLearn::PLearner | |
max_interaction_terms | PLearn::BasisSelectionRegressor | |
max_n_vals_for_sorted_encodings | PLearn::BasisSelectionRegressor | |
n_examples | PLearn::PLearner | [protected] |
n_kernel_centers_to_pick | PLearn::BasisSelectionRegressor | |
n_threads | PLearn::BasisSelectionRegressor | |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
normalize_features | PLearn::BasisSelectionRegressor | |
nservers | PLearn::PLearner | |
nstages | PLearn::PLearner | |
nTestCosts() const | PLearn::PLearner | [virtual] |
nTrainCosts() const | PLearn::PLearner | [virtual] |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
outputsize() const | PLearn::BasisSelectionRegressor | [virtual] |
parallelize_here | PLearn::PLearner | |
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 | |
PLearner() | PLearn::PLearner | |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
precompute_features | PLearn::BasisSelectionRegressor | |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
printModelFunction(PStream &out) const | PLearn::BasisSelectionRegressor | |
processDataSet(VMat dataset) const | PLearn::PLearner | [virtual] |
random_gen | PLearn::PLearner | [mutable, protected] |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
recomputeFeatures() | PLearn::BasisSelectionRegressor | [private] |
recomputeResidue() | PLearn::BasisSelectionRegressor | [private] |
ref() const | PLearn::PPointable | [inline] |
remote_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
remote_useOnTrain() const | PLearn::PLearner | [virtual] |
report_progress | PLearn::PLearner | |
resetInternalState() | PLearn::PLearner | [virtual] |
residue | PLearn::BasisSelectionRegressor | [private] |
residue_sum | PLearn::BasisSelectionRegressor | [private] |
residue_sum_sq | PLearn::BasisSelectionRegressor | [private] |
retrainLearner() | PLearn::BasisSelectionRegressor | [private] |
run() | PLearn::Object | [virtual] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_trainingset_prefix | PLearn::PLearner | |
scores | PLearn::BasisSelectionRegressor | [mutable] |
seed_ | PLearn::PLearner | |
selected_functions | PLearn::BasisSelectionRegressor | |
setExperimentDirectory(const PPath &the_expdir) | PLearn::BasisSelectionRegressor | [virtual] |
setOption(const string &optionname, const string &value) | PLearn::Object | |
setTrainingSet(VMat training_set, bool call_forget=true) | PLearn::BasisSelectionRegressor | [virtual] |
setTrainStatsCollector(PP< VecStatsCollector > statscol) | PLearn::BasisSelectionRegressor | [virtual] |
setValidationSet(VMat validset) | PLearn::PLearner | [virtual] |
simple_candidate_functions | PLearn::BasisSelectionRegressor | [private] |
stage | PLearn::PLearner | |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
targ | PLearn::BasisSelectionRegressor | [mutable, private] |
targets | PLearn::BasisSelectionRegressor | [private] |
targetsize() const | PLearn::PLearner | [virtual] |
targetsize_ | PLearn::PLearner | [protected] |
template_learner | PLearn::BasisSelectionRegressor | [protected] |
test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) const | PLearn::PLearner | [virtual] |
test_minibatch_size | PLearn::PLearner | |
thread_subtrain_length | PLearn::BasisSelectionRegressor | |
train() | PLearn::BasisSelectionRegressor | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
unref() const | PLearn::PPointable | [inline] |
usage() const | PLearn::PPointable | [inline] |
use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
use_a_separate_random_generator_for_testing | PLearn::PLearner | |
use_all_basis | PLearn::BasisSelectionRegressor | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
validation_set | PLearn::PLearner | [protected] |
verbosity | PLearn::PLearner | |
weights | PLearn::BasisSelectionRegressor | [private] |
weightsize() const | PLearn::PLearner | [virtual] |
weightsize_ | PLearn::PLearner | [protected] |
write(ostream &out) const | PLearn::Object | [virtual] |
writeOptionVal(PStream &out, const string &optionname) const | PLearn::Object | |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |