, including all inherited members.
_classname_() | PLearn::SurfaceTemplateLearner | [static] |
_getOptionList_() | PLearn::SurfaceTemplateLearner | [static] |
_getRemoteMethodMap_() | PLearn::SurfaceTemplateLearner | [static] |
_isa_(const Object *o) | PLearn::SurfaceTemplateLearner | [static] |
_new_instance_for_typemap_() | PLearn::SurfaceTemplateLearner | [static] |
_static_initialize_() | PLearn::SurfaceTemplateLearner | [static] |
_static_initializer_ | PLearn::SurfaceTemplateLearner | [static] |
alpha_adaboost | PLearn::NNet | [protected] |
applyTransferFunc(const Var &before_transfer_func, Var &output) | PLearn::NNet | [protected] |
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] |
bag_inputs | PLearn::NNet | [protected] |
bag_size | PLearn::NNet | [protected] |
batch_size | PLearn::NNet | |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
bias_decay | PLearn::NNet | |
build() | PLearn::SurfaceTemplateLearner | [virtual] |
build_() | PLearn::SurfaceTemplateLearner | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
buildBagOutputFromBagInputs(const Var &input, Var &before_transfer_func, const Var &bag_inputs, const Var &bag_size, Var &bag_output) | PLearn::NNet | [protected] |
buildCosts(const Var &output, const Var &target, const Var &hidden_layer, const Var &before_transfer_func) | PLearn::NNet | [protected] |
buildFuncs(const Var &the_input, const Var &the_output, const Var &the_target, const Var &the_sampleweight, const Var &the_bag_size) | PLearn::NNet | [protected] |
buildOutputFromInput(const Var &the_input, Var &hidden_layer, Var &before_transfer_func) | PLearn::NNet | [protected] |
buildPenalties(const Var &hidden_layer) | PLearn::NNet | [protected, virtual] |
buildTargetAndWeight() | PLearn::NNet | [protected] |
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] |
classification_regularizer | PLearn::NNet | |
classname() const | PLearn::SurfaceTemplateLearner | [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::NNet | [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 | |
computeOutput(const Vec &input, Vec &output) const | PLearn::NNet | [virtual] |
computeOutputAndCosts(const Vec &input, const Vec &target, Vec &output, Vec &costs) const | PLearn::NNet | [virtual] |
computeOutputConfMat(VMat inputs, real probability) const | PLearn::PLearner | |
computeOutputCovMat(const Mat &inputs, Mat &outputs, TVec< Mat > &covariance_matrices) const | PLearn::PLearner | [virtual] |
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] |
cost_funcs | PLearn::NNet | |
costs | PLearn::NNet | [protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::SurfaceTemplateLearner | [protected, static] |
declaringFile() | PLearn::SurfaceTemplateLearner | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::SurfaceTemplateLearner | [virtual] |
deepCopyNoMap() | PLearn::Object | |
direct_in_to_out | PLearn::NNet | |
direct_in_to_out_weight_decay | PLearn::NNet | |
do_not_change_params | PLearn::NNet | |
expdir | PLearn::PLearner | |
fillWeights(const Var &weights, bool clear_first_row) | PLearn::NNet | [protected] |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
first_class_is_junk | PLearn::NNet | |
first_hidden_layer | PLearn::NNet | |
first_hidden_layer_is_output | PLearn::NNet | |
fixed_output_weights | PLearn::NNet | |
forget() | PLearn::NNet | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
getCost(const string &costname, const Var &output, const Var &target, const Var &before_transfer_func) | PLearn::NNet | [protected, virtual] |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::SurfaceTemplateLearner | [virtual] |
getOptionMap() const | PLearn::SurfaceTemplateLearner | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::SurfaceTemplateLearner | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::NNet | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::NNet | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
getW1() | PLearn::NNet | [inline, virtual] |
getW2() | PLearn::NNet | [inline, virtual] |
getWdirect() | PLearn::NNet | [inline, virtual] |
getWout() | PLearn::NNet | [inline, virtual] |
hasOption(const string &optionname) const | PLearn::Object | |
hidden_layer | PLearn::NNet | |
hidden_transfer_func | PLearn::NNet | |
hiddenLayer(const Var &input, const Var &weights, string transfer_func="default", VarArray *ratio_quad_weights=NULL) | PLearn::NNet | [protected] |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::SurfaceTemplateLearner | [private] |
initialization_method | PLearn::NNet | |
initializeParams(bool set_seed=true) | PLearn::NNet | [protected, virtual] |
initTrain() | PLearn::PLearner | [protected] |
input | PLearn::NNet | |
input_reconstruction_penalty | PLearn::NNet | |
input_to_output | PLearn::NNet | [mutable] |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
interval_maxval | PLearn::NNet | |
interval_minval | PLearn::NNet | |
invars | PLearn::NNet | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
junk_prob | PLearn::NNet | [protected] |
L1_penalty | PLearn::NNet | |
layer1_bias_decay | PLearn::NNet | |
layer1_weight_decay | PLearn::NNet | |
layer2_bias_decay | PLearn::NNet | |
layer2_weight_decay | PLearn::NNet | |
load(const PPath &filename) | PLearn::Object | [virtual] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::SurfaceTemplateLearner | [virtual] |
margin | PLearn::NNet | |
master_sends_testset_rows | PLearn::PLearner | |
max_bag_size | PLearn::NNet | |
min_feature_dev | PLearn::SurfaceTemplateLearner | |
min_geom_dev | PLearn::SurfaceTemplateLearner | |
n_examples | PLearn::PLearner | [protected] |
n_non_params_in_first_hidden_layer | PLearn::NNet | |
n_training_bags | PLearn::NNet | [protected] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
nhidden | PLearn::NNet | |
nhidden2 | PLearn::NNet | |
NNet() | PLearn::NNet | |
noutputs | PLearn::NNet | |
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] |
operate_on_bags | PLearn::NNet | |
optimizer | PLearn::NNet | |
outbias | PLearn::NNet | |
output | PLearn::NNet | [protected] |
output_and_target_to_cost | PLearn::NNet | [mutable] |
output_layer_bias_decay | PLearn::NNet | |
output_layer_weight_decay | PLearn::NNet | |
output_transfer_func | PLearn::NNet | |
outputsize() const | PLearn::NNet | [virtual] |
parallelize_here | PLearn::PLearner | |
params | PLearn::NNet | [protected] |
paramsvalues | PLearn::NNet | |
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 | |
penalties | PLearn::NNet | [protected] |
penalty_type | PLearn::NNet | |
PLearner() | PLearn::PLearner | |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
predicted_input | PLearn::NNet | [protected] |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
processDataSet(VMat dataset) const | PLearn::PLearner | [virtual] |
random_gen | PLearn::PLearner | [mutable, protected] |
ratio_rank | PLearn::NNet | |
rbf_centers | PLearn::NNet | [protected] |
rbf_layer_size | PLearn::NNet | |
rbf_sigmas | PLearn::NNet | [protected] |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
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] |
run() | PLearn::Object | [virtual] |
sampleweight | PLearn::NNet | |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_trainingset_prefix | PLearn::PLearner | |
seed_ | PLearn::PLearner | |
setExperimentDirectory(const PPath &the_expdir) | PLearn::PLearner | [virtual] |
setOption(const string &optionname, const string &value) | PLearn::Object | |
setTrainingSet(VMat training_set, bool call_forget=true) | PLearn::SurfaceTemplateLearner | [virtual] |
setTrainStatsCollector(PP< VecStatsCollector > statscol) | PLearn::PLearner | [virtual] |
setValidationSet(VMat validset) | PLearn::PLearner | [virtual] |
simple_mixture | PLearn::SurfaceTemplateLearner | |
stage | PLearn::PLearner | |
store_bag_inputs | PLearn::NNet | [protected] |
store_bag_size | PLearn::NNet | [protected] |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
SurfaceTemplateLearner() | PLearn::SurfaceTemplateLearner | |
target | PLearn::NNet | |
targetsize() const | PLearn::PLearner | [virtual] |
targetsize_ | PLearn::PLearner | [protected] |
templates_source | PLearn::SurfaceTemplateLearner | |
test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) const | PLearn::SurfaceTemplateLearner | [virtual] |
test_costf | PLearn::NNet | [mutable] |
test_costs | PLearn::NNet | [protected] |
test_minibatch_size | PLearn::PLearner | |
train() | PLearn::SurfaceTemplateLearner | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
training_cost | PLearn::NNet | [protected] |
transpose_first_hidden_layer | PLearn::NNet | |
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 | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
v1 | PLearn::NNet | |
v2 | PLearn::NNet | |
validation_set | PLearn::PLearner | [protected] |
verbosity | PLearn::PLearner | |
w1 | PLearn::NNet | |
w2 | PLearn::NNet | |
wdirect | PLearn::NNet | |
weight_decay | PLearn::NNet | |
weightsize() const | PLearn::PLearner | [virtual] |
weightsize_ | PLearn::PLearner | [protected] |
wout | PLearn::NNet | |
wrec | PLearn::NNet | |
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] |