PLearn 0.1
PLearn::PseudolikelihoodRBM Member List
This is the complete list of members for PLearn::PseudolikelihoodRBM, 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_beginPLearn::PseudolikelihoodRBM
ais_beta_endPLearn::PseudolikelihoodRBM
ais_beta_n_stepsPLearn::PseudolikelihoodRBM
ais_beta_schedulePLearn::PseudolikelihoodRBM
asString() const PLearn::Object [virtual]
asStringRemoteTransmit() const PLearn::Object [virtual]
autoencoder_input_indicesPLearn::PseudolikelihoodRBM [mutable, protected]
b_costsPLearn::PLearner [mutable, protected]
b_inputsPLearn::PLearner [mutable, protected]
b_outputsPLearn::PLearner [mutable, protected]
b_targetsPLearn::PLearner [mutable, protected]
b_weightsPLearn::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_ctPLearn::PseudolikelihoodRBM
cd_learning_ratePLearn::PseudolikelihoodRBM
cd_n_gibbsPLearn::PseudolikelihoodRBM
changeOption(const string &optionname, const string &value)PLearn::Object
changeOptions(const map< string, string > &name_value)PLearn::Object [virtual]
class_cost_indexPLearn::PseudolikelihoodRBM [protected]
class_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
class_outputPLearn::PseudolikelihoodRBM [mutable, protected]
classname() const PLearn::PseudolikelihoodRBM [virtual]
compute_input_space_nllPLearn::PseudolikelihoodRBM
compute_Z() const PLearn::PseudolikelihoodRBM [private]
compute_Z_exactlyPLearn::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]
confPLearn::PseudolikelihoodRBM [mutable, protected]
connectionPLearn::PseudolikelihoodRBM
connection_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
context_indicesPLearn::PseudolikelihoodRBM [mutable, protected]
context_indices_per_iPLearn::PseudolikelihoodRBM [mutable, protected]
context_most_correlatedPLearn::PseudolikelihoodRBM [mutable, protected]
context_probsPLearn::PseudolikelihoodRBM [mutable, protected]
correlations_per_iPLearn::PseudolikelihoodRBM [mutable, protected]
cost_namesPLearn::PseudolikelihoodRBM
cumulative_training_timePLearn::PseudolikelihoodRBM [protected]
cumulative_training_time_cost_indexPLearn::PseudolikelihoodRBM [protected]
declareMethods(RemoteMethodMap &rmm)PLearn::PLearner [protected, static]
declareOptions(OptionList &ol)PLearn::PseudolikelihoodRBM [protected, static]
declaringFile()PLearn::PseudolikelihoodRBM [inline, static]
decrease_ctPLearn::PseudolikelihoodRBM
deepCopy(CopiesMap &copies) const PLearn::PseudolikelihoodRBM [virtual]
deepCopyNoMap()PLearn::Object
denoising_decrease_ctPLearn::PseudolikelihoodRBM
denoising_learning_ratePLearn::PseudolikelihoodRBM
expdirPLearn::PLearner
factorized_connection_rankPLearn::PseudolikelihoodRBM
finalize()PLearn::PLearner [virtual]
finalizedPLearn::PLearner
forget()PLearn::PseudolikelihoodRBM [virtual]
forget_when_training_set_changesPLearn::PLearner [protected]
fraction_of_masked_inputsPLearn::PseudolikelihoodRBM
generative_learning_weightPLearn::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_actPLearn::PseudolikelihoodRBM [mutable, protected]
hasOption(const string &optionname) const PLearn::Object
hidden_act_non_selectedPLearn::PseudolikelihoodRBM [protected]
hidden_activation_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_activation_neg_iPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_activation_neg_i_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_activation_pos_iPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_activation_pos_i_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_activations_contextPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_activations_context_k_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_layerPLearn::PseudolikelihoodRBM
hidden_layer_activation_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
hidden_layer_expectation_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
info() const PLearn::Object [virtual]
inherited typedefPLearn::PseudolikelihoodRBM [private]
initTrain()PLearn::PLearner [protected]
input_gradientPLearn::PseudolikelihoodRBM [mutable, protected]
input_indicesPLearn::PseudolikelihoodRBM [protected]
input_is_activePLearn::PseudolikelihoodRBM [protected]
input_is_selectedPLearn::PseudolikelihoodRBM [protected]
input_is_sparsePLearn::PseudolikelihoodRBM
input_layerPLearn::PseudolikelihoodRBM
inputsize() const PLearn::PLearner [virtual]
inputsize_PLearn::PLearner [protected]
isStatefulLearner() const PLearn::PLearner [virtual]
k_most_correlatedPLearn::PseudolikelihoodRBM
learning_ratePLearn::PseudolikelihoodRBM
load(const PPath &filename)PLearn::Object [virtual]
log_ZPLearn::PseudolikelihoodRBM [mutable, protected]
log_Z_aisPLearn::PseudolikelihoodRBM [mutable, protected]
log_Z_ais_cost_indexPLearn::PseudolikelihoodRBM [protected]
log_Z_cost_indexPLearn::PseudolikelihoodRBM [protected]
log_Z_downPLearn::PseudolikelihoodRBM [mutable, protected]
log_Z_interval_lower_cost_indexPLearn::PseudolikelihoodRBM [protected]
log_Z_interval_upper_cost_indexPLearn::PseudolikelihoodRBM [protected]
log_Z_upPLearn::PseudolikelihoodRBM [mutable, protected]
makeDeepCopyFromShallowCopy(CopiesMap &copies)PLearn::PseudolikelihoodRBM [virtual]
masked_autoencoder_inputPLearn::PseudolikelihoodRBM [mutable, protected]
master_sends_testset_rowsPLearn::PLearner
n_ais_chainsPLearn::PseudolikelihoodRBM
n_classesPLearn::PseudolikelihoodRBM
n_examplesPLearn::PLearner [protected]
n_gibbs_chainsPLearn::PseudolikelihoodRBM
n_selected_inputs_cdPLearn::PseudolikelihoodRBM
n_selected_inputs_pseudolikelihoodPLearn::PseudolikelihoodRBM
neg_hiddenPLearn::PseudolikelihoodRBM [mutable, protected]
neg_inputPLearn::PseudolikelihoodRBM [mutable, protected]
neg_targetPLearn::PseudolikelihoodRBM [mutable, protected]
newread(PStream &in, unsigned int id=UINT_MAX)PLearn::Object
newwrite(PStream &out) const PLearn::Object [virtual]
nll_cost_indexPLearn::PseudolikelihoodRBM [protected]
nserversPLearn::PLearner
nstagesPLearn::PLearner
nTestCosts() const PLearn::PLearner [virtual]
nTrainCosts() const PLearn::PLearner [virtual]
numsPLearn::PseudolikelihoodRBM [mutable, protected]
nums_actPLearn::PseudolikelihoodRBM [mutable, protected]
Object(bool call_build_=false)PLearn::Object
oldread(istream &in)PLearn::Object [virtual]
only_reconstruct_masked_inputsPLearn::PseudolikelihoodRBM
outputsize() const PLearn::PseudolikelihoodRBM [virtual]
parallelize_herePLearn::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_hiddenPLearn::PseudolikelihoodRBM [mutable, protected]
persistent_cd_weightPLearn::PseudolikelihoodRBM
persistent_gibbs_chain_is_startedPLearn::PseudolikelihoodRBM [mutable, protected]
PLearner()PLearn::PLearner
pos_hiddenPLearn::PseudolikelihoodRBM [mutable, protected]
pos_inputPLearn::PseudolikelihoodRBM [mutable, protected]
pos_input_sparsePLearn::PseudolikelihoodRBM [protected]
pos_targetPLearn::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_sizePLearn::PseudolikelihoodRBM
pseudolikelihood_context_typePLearn::PseudolikelihoodRBM
PseudolikelihoodRBM()PLearn::PseudolikelihoodRBM
random_genPLearn::PLearner [mutable, protected]
read(istream &in)PLearn::Object [virtual]
readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX)PLearn::Object
reconstruction_activation_gradientPLearn::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_progressPLearn::PLearner
resetInternalState()PLearn::PLearner [virtual]
run()PLearn::Object [virtual]
save(const PPath &filename) const PLearn::Object [virtual]
save_trainingset_prefixPLearn::PLearner
seed_PLearn::PLearner
semi_sup_learning_weightPLearn::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_decayPLearn::PseudolikelihoodRBM
stagePLearn::PLearner
sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const PLearn::PLearner [virtual]
target_connectionPLearn::PseudolikelihoodRBM
target_layerPLearn::PseudolikelihoodRBM
target_one_hotPLearn::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_sizePLearn::PLearner
train()PLearn::PseudolikelihoodRBM [virtual]
train_setPLearn::PLearner [protected]
train_statsPLearn::PLearner [protected]
training_cpu_time_cost_indexPLearn::PseudolikelihoodRBM [protected]
transpose_connectionPLearn::PseudolikelihoodRBM
UPLearn::PseudolikelihoodRBM
U_gradientPLearn::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_testingPLearn::PLearner
use_ais_to_compute_ZPLearn::PseudolikelihoodRBM
use_mean_field_cdPLearn::PseudolikelihoodRBM
useOnTrain(Mat &outputs) const PLearn::PLearner [virtual]
VPLearn::PseudolikelihoodRBM
V_gradientsPLearn::PseudolikelihoodRBM [protected]
validation_setPLearn::PLearner [protected]
verbosityPLearn::PLearner
VxPLearn::PseudolikelihoodRBM [protected]
Vx_gradientPLearn::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_datePLearn::PseudolikelihoodRBM [mutable, protected]
Z_is_up_to_datePLearn::PseudolikelihoodRBM [mutable, protected]
~Object()PLearn::Object [virtual]
~PPointable()PLearn::PPointable [inline, virtual]
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