, 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] |