, including all inherited members.
_classname_() | PLearn::PseudolikelihoodRBM | [static] |
_getOptionList_() | PLearn::PseudolikelihoodRBM | [static] |
_getRemoteMethodMap_() | PLearn::PseudolikelihoodRBM | [static] |
_isa_(const Object *o) | PLearn::PseudolikelihoodRBM | [static] |
_new_instance_for_typemap_() | PLearn::PseudolikelihoodRBM | [static] |
_static_initialize_() | PLearn::PseudolikelihoodRBM | [static] |
_static_initializer_ | PLearn::PseudolikelihoodRBM | [static] |
ais_beta_begin | PLearn::PseudolikelihoodRBM | |
ais_beta_end | PLearn::PseudolikelihoodRBM | |
ais_beta_n_steps | PLearn::PseudolikelihoodRBM | |
ais_beta_schedule | PLearn::PseudolikelihoodRBM | |
asString() const | PLearn::Object | [virtual] |
asStringRemoteTransmit() const | PLearn::Object | [virtual] |
autoencoder_input_indices | PLearn::PseudolikelihoodRBM | [mutable, 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] |
batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
build() | PLearn::PseudolikelihoodRBM | [virtual] |
build_() | PLearn::PseudolikelihoodRBM | [private] |
build_costs() | PLearn::PseudolikelihoodRBM | [private] |
build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
build_layers_and_connections() | PLearn::PseudolikelihoodRBM | [private] |
call(const string &methodname, int nargs, PStream &io) | PLearn::Object | [virtual] |
cd_decrease_ct | PLearn::PseudolikelihoodRBM | |
cd_learning_rate | PLearn::PseudolikelihoodRBM | |
cd_n_gibbs | PLearn::PseudolikelihoodRBM | |
changeOption(const string &optionname, const string &value) | PLearn::Object | |
changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
class_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
class_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
class_output | PLearn::PseudolikelihoodRBM | [mutable, protected] |
classname() const | PLearn::PseudolikelihoodRBM | [virtual] |
compute_input_space_nll | PLearn::PseudolikelihoodRBM | |
compute_Z() const | PLearn::PseudolikelihoodRBM | [private] |
compute_Z_exactly | PLearn::PseudolikelihoodRBM | |
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::PseudolikelihoodRBM | [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::PseudolikelihoodRBM | [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] |
conf | PLearn::PseudolikelihoodRBM | [mutable, protected] |
connection | PLearn::PseudolikelihoodRBM | |
connection_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
context_indices | PLearn::PseudolikelihoodRBM | [mutable, protected] |
context_indices_per_i | PLearn::PseudolikelihoodRBM | [mutable, protected] |
context_most_correlated | PLearn::PseudolikelihoodRBM | [mutable, protected] |
context_probs | PLearn::PseudolikelihoodRBM | [mutable, protected] |
correlations_per_i | PLearn::PseudolikelihoodRBM | [mutable, protected] |
cost_names | PLearn::PseudolikelihoodRBM | |
cumulative_training_time | PLearn::PseudolikelihoodRBM | [protected] |
cumulative_training_time_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
declareOptions(OptionList &ol) | PLearn::PseudolikelihoodRBM | [protected, static] |
declaringFile() | PLearn::PseudolikelihoodRBM | [inline, static] |
decrease_ct | PLearn::PseudolikelihoodRBM | |
deepCopy(CopiesMap &copies) const | PLearn::PseudolikelihoodRBM | [virtual] |
deepCopyNoMap() | PLearn::Object | |
denoising_decrease_ct | PLearn::PseudolikelihoodRBM | |
denoising_learning_rate | PLearn::PseudolikelihoodRBM | |
expdir | PLearn::PLearner | |
factorized_connection_rank | PLearn::PseudolikelihoodRBM | |
finalize() | PLearn::PLearner | [virtual] |
finalized | PLearn::PLearner | |
forget() | PLearn::PseudolikelihoodRBM | [virtual] |
forget_when_training_set_changes | PLearn::PLearner | [protected] |
fraction_of_masked_inputs | PLearn::PseudolikelihoodRBM | |
generative_learning_weight | PLearn::PseudolikelihoodRBM | |
getExperimentDirectory() const | PLearn::PLearner | [inline] |
getOption(const string &optionname) const | PLearn::Object | |
getOptionList() const | PLearn::PseudolikelihoodRBM | [virtual] |
getOptionMap() const | PLearn::PseudolikelihoodRBM | [virtual] |
getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
getOptionsToSave() const | PLearn::Object | [virtual] |
getOutputNames() const | PLearn::PLearner | [virtual] |
getRemoteMethodMap() const | PLearn::PseudolikelihoodRBM | [virtual] |
getTestCostIndex(const string &costname) const | PLearn::PLearner | |
getTestCostNames() const | PLearn::PseudolikelihoodRBM | [virtual] |
getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
getTrainCostNames() const | PLearn::PseudolikelihoodRBM | [virtual] |
getTrainingSet() const | PLearn::PLearner | [inline] |
getTrainStatsCollector() | PLearn::PLearner | [inline] |
getValidationSet() const | PLearn::PLearner | [inline] |
gnums_act | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hasOption(const string &optionname) const | PLearn::Object | |
hidden_act_non_selected | PLearn::PseudolikelihoodRBM | [protected] |
hidden_activation_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_activation_neg_i | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_activation_neg_i_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_activation_pos_i | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_activation_pos_i_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_activations_context | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_activations_context_k_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_layer | PLearn::PseudolikelihoodRBM | |
hidden_layer_activation_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
hidden_layer_expectation_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
info() const | PLearn::Object | [virtual] |
inherited typedef | PLearn::PseudolikelihoodRBM | [private] |
initTrain() | PLearn::PLearner | [protected] |
input_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
input_indices | PLearn::PseudolikelihoodRBM | [protected] |
input_is_active | PLearn::PseudolikelihoodRBM | [protected] |
input_is_selected | PLearn::PseudolikelihoodRBM | [protected] |
input_is_sparse | PLearn::PseudolikelihoodRBM | |
input_layer | PLearn::PseudolikelihoodRBM | |
inputsize() const | PLearn::PLearner | [virtual] |
inputsize_ | PLearn::PLearner | [protected] |
isStatefulLearner() const | PLearn::PLearner | [virtual] |
k_most_correlated | PLearn::PseudolikelihoodRBM | |
learning_rate | PLearn::PseudolikelihoodRBM | |
load(const PPath &filename) | PLearn::Object | [virtual] |
log_Z | PLearn::PseudolikelihoodRBM | [mutable, protected] |
log_Z_ais | PLearn::PseudolikelihoodRBM | [mutable, protected] |
log_Z_ais_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
log_Z_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
log_Z_down | PLearn::PseudolikelihoodRBM | [mutable, protected] |
log_Z_interval_lower_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
log_Z_interval_upper_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
log_Z_up | PLearn::PseudolikelihoodRBM | [mutable, protected] |
makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::PseudolikelihoodRBM | [virtual] |
masked_autoencoder_input | PLearn::PseudolikelihoodRBM | [mutable, protected] |
master_sends_testset_rows | PLearn::PLearner | |
n_ais_chains | PLearn::PseudolikelihoodRBM | |
n_classes | PLearn::PseudolikelihoodRBM | |
n_examples | PLearn::PLearner | [protected] |
n_gibbs_chains | PLearn::PseudolikelihoodRBM | |
n_selected_inputs_cd | PLearn::PseudolikelihoodRBM | |
n_selected_inputs_pseudolikelihood | PLearn::PseudolikelihoodRBM | |
neg_hidden | PLearn::PseudolikelihoodRBM | [mutable, protected] |
neg_input | PLearn::PseudolikelihoodRBM | [mutable, protected] |
neg_target | PLearn::PseudolikelihoodRBM | [mutable, protected] |
newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
newwrite(PStream &out) const | PLearn::Object | [virtual] |
nll_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
nservers | PLearn::PLearner | |
nstages | PLearn::PLearner | |
nTestCosts() const | PLearn::PLearner | [virtual] |
nTrainCosts() const | PLearn::PLearner | [virtual] |
nums | PLearn::PseudolikelihoodRBM | [mutable, protected] |
nums_act | PLearn::PseudolikelihoodRBM | [mutable, protected] |
Object(bool call_build_=false) | PLearn::Object | |
oldread(istream &in) | PLearn::Object | [virtual] |
only_reconstruct_masked_inputs | PLearn::PseudolikelihoodRBM | |
outputsize() const | PLearn::PseudolikelihoodRBM | [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 | |
pers_cd_hidden | PLearn::PseudolikelihoodRBM | [mutable, protected] |
persistent_cd_weight | PLearn::PseudolikelihoodRBM | |
persistent_gibbs_chain_is_started | PLearn::PseudolikelihoodRBM | [mutable, protected] |
PLearner() | PLearn::PLearner | |
pos_hidden | PLearn::PseudolikelihoodRBM | [mutable, protected] |
pos_input | PLearn::PseudolikelihoodRBM | [mutable, protected] |
pos_input_sparse | PLearn::PseudolikelihoodRBM | [protected] |
pos_target | PLearn::PseudolikelihoodRBM | [mutable, protected] |
PPointable() | PLearn::PPointable | [inline] |
PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
processDataSet(VMat dataset) const | PLearn::PLearner | [virtual] |
pseudolikelihood_context_size | PLearn::PseudolikelihoodRBM | |
pseudolikelihood_context_type | PLearn::PseudolikelihoodRBM | |
PseudolikelihoodRBM() | PLearn::PseudolikelihoodRBM | |
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 | |
reconstruction_activation_gradient | PLearn::PseudolikelihoodRBM | [mutable, protected] |
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] |
save(const PPath &filename) const | PLearn::Object | [virtual] |
save_trainingset_prefix | PLearn::PLearner | |
seed_ | PLearn::PLearner | |
semi_sup_learning_weight | PLearn::PseudolikelihoodRBM | |
setExperimentDirectory(const PPath &the_expdir) | PLearn::PLearner | [virtual] |
setLearningRate(real the_learning_rate) | PLearn::PseudolikelihoodRBM | [private] |
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] |
sparsity_bias_decay | PLearn::PseudolikelihoodRBM | |
stage | PLearn::PLearner | |
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
target_connection | PLearn::PseudolikelihoodRBM | |
target_layer | PLearn::PseudolikelihoodRBM | |
target_one_hot | PLearn::PseudolikelihoodRBM | [mutable, 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::PseudolikelihoodRBM | [virtual] |
test_minibatch_size | PLearn::PLearner | |
train() | PLearn::PseudolikelihoodRBM | [virtual] |
train_set | PLearn::PLearner | [protected] |
train_stats | PLearn::PLearner | [protected] |
training_cpu_time_cost_index | PLearn::PseudolikelihoodRBM | [protected] |
transpose_connection | PLearn::PseudolikelihoodRBM | |
U | PLearn::PseudolikelihoodRBM | |
U_gradient | PLearn::PseudolikelihoodRBM | [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_ais_to_compute_Z | PLearn::PseudolikelihoodRBM | |
use_mean_field_cd | PLearn::PseudolikelihoodRBM | |
useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
V | PLearn::PseudolikelihoodRBM | |
V_gradients | PLearn::PseudolikelihoodRBM | [protected] |
validation_set | PLearn::PLearner | [protected] |
verbosity | PLearn::PLearner | |
Vx | PLearn::PseudolikelihoodRBM | [protected] |
Vx_gradient | PLearn::PseudolikelihoodRBM | [protected] |
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 | |
Z_ais_is_up_to_date | PLearn::PseudolikelihoodRBM | [mutable, protected] |
Z_is_up_to_date | PLearn::PseudolikelihoodRBM | [mutable, protected] |
~Object() | PLearn::Object | [virtual] |
~PPointable() | PLearn::PPointable | [inline, virtual] |