, including all inherited members.
_classname_() | PLearn::GaussianContinuum | [static] |
_getOptionList_() | PLearn::GaussianContinuum | [static] |
_getRemoteMethodMap_() | PLearn::GaussianContinuum | [static] |
_isa_(const Object *o) | PLearn::GaussianContinuum | [static] |
_new_instance_for_typemap_() | PLearn::GaussianContinuum | [static] |
_static_initialize_() | PLearn::GaussianContinuum | [static] |
_static_initializer_ | PLearn::GaussianContinuum | [static] |
architecture_type | PLearn::GaussianContinuum | |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
b | PLearn::GaussianContinuum | [protected] |
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] |
batch_size | PLearn::GaussianContinuum | |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
best_validation_cost | PLearn::GaussianContinuum | [protected] |
Bs | PLearn::GaussianContinuum | [protected] |
build() | PLearn::GaussianContinuum | [virtual] |
build_() | PLearn::GaussianContinuum | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
c | PLearn::GaussianContinuum | [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] |
classname() const | PLearn::GaussianContinuum | [virtual] |
compute_cost_every_n_epochs | PLearn::GaussianContinuum | |
compute_train_and_validation_costs() | PLearn::GaussianContinuum | [private] |
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::GaussianContinuum | [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::GaussianContinuum | [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] |
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_of_one_example | PLearn::GaussianContinuum | [protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::GaussianContinuum | [protected, static] |
declaringFile() | PLearn::GaussianContinuum | [inline, static] |
deepCopy(CopiesMap &copies) const | PLearn::GaussianContinuum | [virtual] |
deepCopyNoMap() | PLearn::Object | |
dist | PLearn::GaussianContinuum | [protected] |
distances | PLearn::GaussianContinuum | [mutable, protected] |
dk | PLearn::GaussianContinuum | [mutable, protected] |
embedding | PLearn::GaussianContinuum | |
expdir | PLearn::PLearner | |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
forget() | PLearn::GaussianContinuum | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
Fs | PLearn::GaussianContinuum | [protected] |
GaussianContinuum() | PLearn::GaussianContinuum | |
get_image_matrix(VMat points, VMat image_points_vmat, int begin, string file_path, int n_near_neigh) | PLearn::GaussianContinuum | [private] |
get_nll(VMat points, VMat image_points_vmat, int begin, int n_near_neigh) | PLearn::GaussianContinuum | [private] |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::GaussianContinuum | [virtual] |
getOptionMap() const | PLearn::GaussianContinuum | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::GaussianContinuum | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::GaussianContinuum | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::GaussianContinuum | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
hasOption(const string &optionname) const | PLearn::Object | |
image_nearest_neighbors | PLearn::GaussianContinuum | |
image_points_mat | PLearn::GaussianContinuum | |
image_points_vmat | PLearn::GaussianContinuum | |
image_prob_mat | PLearn::GaussianContinuum | |
include_current_point | PLearn::GaussianContinuum | |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::GaussianContinuum | [private] |
initializeParams() | PLearn::GaussianContinuum | [virtual] |
initTrain() | PLearn::PLearner | [protected] |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
ith_step_generated_set | PLearn::GaussianContinuum | [protected] |
knn(const VMat &vm, const Vec &x, const int &k, TVec< int > &neighbors, bool sortk) const | PLearn::GaussianContinuum | [private] |
load(const PPath &filename) | PLearn::Object | [virtual] |
lower_x | PLearn::GaussianContinuum | |
lower_y | PLearn::GaussianContinuum | |
make_random_walk() | PLearn::GaussianContinuum | [private] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::GaussianContinuum | [virtual] |
master_sends_testset_rows | PLearn::PLearner | |
min_d | PLearn::GaussianContinuum | [protected] |
min_diff | PLearn::GaussianContinuum | |
min_p_x | PLearn::GaussianContinuum | |
min_sig | PLearn::GaussianContinuum | [protected] |
min_sigma | PLearn::GaussianContinuum | |
mu | PLearn::GaussianContinuum | [protected] |
mu_n_neighbors | PLearn::GaussianContinuum | |
mu_noisy | PLearn::GaussianContinuum | [protected] |
mus | PLearn::GaussianContinuum | [protected] |
muV | PLearn::GaussianContinuum | [protected] |
n | PLearn::GaussianContinuum | [protected] |
n_dim | PLearn::GaussianContinuum | |
n_examples | PLearn::PLearner | [protected] |
n_hidden_units | PLearn::GaussianContinuum | |
n_neighbors | PLearn::GaussianContinuum | |
n_neighbors_density | PLearn::GaussianContinuum | |
n_random_walk_per_point | PLearn::GaussianContinuum | |
n_random_walk_step | PLearn::GaussianContinuum | |
neigbor_indexes | PLearn::GaussianContinuum | [protected] |
neighbor_row | PLearn::GaussianContinuum | [mutable, protected] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
noise | PLearn::GaussianContinuum | |
noise_type | PLearn::GaussianContinuum | |
noise_var | PLearn::GaussianContinuum | [protected] |
noisy_data | PLearn::GaussianContinuum | |
norm_penalization | PLearn::GaussianContinuum | |
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] |
optimizer | PLearn::GaussianContinuum | |
output_f | PLearn::GaussianContinuum | |
output_f_all | PLearn::GaussianContinuum | |
output_type | PLearn::GaussianContinuum | |
outputsize() const | PLearn::GaussianContinuum | [virtual] |
p_neighbors | PLearn::GaussianContinuum | [protected] |
p_neighbors_and_point | PLearn::GaussianContinuum | [protected] |
p_target | PLearn::GaussianContinuum | [protected] |
p_x | PLearn::GaussianContinuum | [protected] |
parallelize_here | PLearn::PLearner | |
parameters | PLearn::GaussianContinuum | [protected] |
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 | |
points_per_dim | PLearn::GaussianContinuum | |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
predictor | PLearn::GaussianContinuum | |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
print_parameters | PLearn::GaussianContinuum | |
processDataSet(VMat dataset) const | PLearn::PLearner | [virtual] |
projection_error_f | PLearn::GaussianContinuum | |
random_gen | PLearn::PLearner | [mutable, protected] |
random_walk_step_prop | PLearn::GaussianContinuum | |
read(istream &in) | PLearn::Object | [virtual] |
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
ref() const | PLearn::PPointable | [inline] |
reference_set | PLearn::GaussianContinuum | [protected] |
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] |
S_svd | PLearn::GaussianContinuum | [protected] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_image_mat | PLearn::GaussianContinuum | |
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::PLearner | [virtual] |
setTrainStatsCollector(PP< VecStatsCollector > statscol) | PLearn::PLearner | [virtual] |
setValidationSet(VMat validset) | PLearn::PLearner | [virtual] |
sm | PLearn::GaussianContinuum | [protected] |
sm_bigger_than_sn | PLearn::GaussianContinuum | |
smb | PLearn::GaussianContinuum | [protected] |
sms | PLearn::GaussianContinuum | [protected] |
smV | PLearn::GaussianContinuum | [protected] |
sn | PLearn::GaussianContinuum | [protected] |
snb | PLearn::GaussianContinuum | [protected] |
sns | PLearn::GaussianContinuum | [protected] |
snV | PLearn::GaussianContinuum | [protected] |
stage | PLearn::PLearner | |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
sum_nll | PLearn::GaussianContinuum | [protected] |
svd_threshold | PLearn::GaussianContinuum | |
t_dist | PLearn::GaussianContinuum | [mutable, protected] |
t_nn | PLearn::GaussianContinuum | [mutable, protected] |
t_row | PLearn::GaussianContinuum | [mutable, protected] |
tangent_plane | PLearn::GaussianContinuum | [protected] |
tangent_targets | PLearn::GaussianContinuum | [protected] |
tangent_targets_and_point | PLearn::GaussianContinuum | [protected] |
target_index | PLearn::GaussianContinuum | [protected] |
targetsize() const | PLearn::PLearner | [virtual] |
targetsize_ | PLearn::PLearner | [protected] |
test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) const | PLearn::PLearner | [virtual] |
test_minibatch_size | PLearn::PLearner | |
train() | PLearn::GaussianContinuum | [virtual] |
train_and_generated_set | PLearn::GaussianContinuum | [protected] |
train_nearest_neighbors | PLearn::GaussianContinuum | [protected] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
unref() const | PLearn::PPointable | [inline] |
update_reference_set_parameters() | PLearn::GaussianContinuum | [private] |
upper_x | PLearn::GaussianContinuum | |
upper_y | PLearn::GaussianContinuum | |
usage() const | PLearn::PPointable | [inline] |
use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
use_a_separate_random_generator_for_testing | PLearn::PLearner | |
use_noise | PLearn::GaussianContinuum | |
use_noise_direction | PLearn::GaussianContinuum | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
Ut_svd | PLearn::GaussianContinuum | [protected] |
V | PLearn::GaussianContinuum | [protected] |
V_svd | PLearn::GaussianContinuum | [protected] |
valid_set | PLearn::GaussianContinuum | [protected] |
validation_nearest_neighbors | PLearn::GaussianContinuum | [protected] |
validation_prop | PLearn::GaussianContinuum | |
validation_set | PLearn::PLearner | [protected] |
variances_transfer_function | PLearn::GaussianContinuum | |
verbosity | PLearn::PLearner | |
W | PLearn::GaussianContinuum | [protected] |
w | PLearn::GaussianContinuum | [mutable, protected] |
walk_on_noise | PLearn::GaussianContinuum | |
weight_mu_and_tangent | PLearn::GaussianContinuum | |
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 | |
x | PLearn::GaussianContinuum | [protected] |
x_minus_neighbor | PLearn::GaussianContinuum | [mutable, protected] |
z | PLearn::GaussianContinuum | [mutable, protected] |
zm | PLearn::GaussianContinuum | [mutable, protected] |
zn | PLearn::GaussianContinuum | [mutable, protected] |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |