, including all inherited members.
| _classname_() | PLearn::SubsamplingDBN | [static] |
| _getOptionList_() | PLearn::SubsamplingDBN | [static] |
| _getRemoteMethodMap_() | PLearn::SubsamplingDBN | [static] |
| _isa_(const Object *o) | PLearn::SubsamplingDBN | [static] |
| _new_instance_for_typemap_() | PLearn::SubsamplingDBN | [static] |
| _static_initialize_() | PLearn::SubsamplingDBN | [static] |
| _static_initializer_ | PLearn::SubsamplingDBN | [static] |
| activation_gradients | PLearn::SubsamplingDBN | [mutable, protected] |
| activations_gradients | PLearn::SubsamplingDBN | [mutable, 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] |
| background_gibbs_update_ratio | PLearn::SubsamplingDBN | |
| batch_size | PLearn::SubsamplingDBN | |
| batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner | [virtual] |
| build() | PLearn::SubsamplingDBN | [virtual] |
| build_() | PLearn::SubsamplingDBN | [private] |
| build_classification_cost() | PLearn::SubsamplingDBN | [private] |
| build_costs() | PLearn::SubsamplingDBN | [private] |
| build_final_cost() | PLearn::SubsamplingDBN | [private] |
| build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
| build_layers_and_connections() | PLearn::SubsamplingDBN | [private] |
| call(const string &methodname, int nargs, PStream &io) | PLearn::Object | [virtual] |
| cd_learning_rate | PLearn::SubsamplingDBN | |
| cd_neg_down_vals | PLearn::SubsamplingDBN | [mutable, protected] |
| cd_neg_up_vals | PLearn::SubsamplingDBN | [mutable, protected] |
| changeOption(const string &optionname, const string &value) | PLearn::Object | |
| changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
| class_cost_index | PLearn::SubsamplingDBN | [protected] |
| class_gradient | PLearn::SubsamplingDBN | [mutable, protected] |
| class_output | PLearn::SubsamplingDBN | [mutable, protected] |
| classification_cost | PLearn::SubsamplingDBN | |
| classification_module | PLearn::SubsamplingDBN | |
| classname() const | PLearn::SubsamplingDBN | [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::SubsamplingDBN | [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::SubsamplingDBN | [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] |
| connections | PLearn::SubsamplingDBN | |
| contrastiveDivergenceStep(const PP< RBMLayer > &down_layer, const PP< RBMConnection > &connection, const PP< RBMLayer > &up_layer, int layer_index, bool nofprop=false) | PLearn::SubsamplingDBN | |
| cost_names | PLearn::SubsamplingDBN | |
| cumulative_schedule | PLearn::SubsamplingDBN | [protected] |
| cumulative_testing_time | PLearn::SubsamplingDBN | [mutable, protected] |
| cumulative_testing_time_cost_index | PLearn::SubsamplingDBN | [protected] |
| cumulative_training_time | PLearn::SubsamplingDBN | [protected] |
| cumulative_training_time_cost_index | PLearn::SubsamplingDBN | [protected] |
| declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
| declareOptions(OptionList &ol) | PLearn::SubsamplingDBN | [protected, static] |
| declaringFile() | PLearn::SubsamplingDBN | [inline, static] |
| deepCopy(CopiesMap &copies) const | PLearn::SubsamplingDBN | [virtual] |
| deepCopyNoMap() | PLearn::Object | |
| expdir | PLearn::PLearner | |
| expectation_gradients | PLearn::SubsamplingDBN | [mutable, protected] |
| expectations_gradients | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost | PLearn::SubsamplingDBN | |
| final_cost_gradient | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost_gradients | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost_has_learning_rate | PLearn::SubsamplingDBN | [protected] |
| final_cost_index | PLearn::SubsamplingDBN | [protected] |
| final_cost_input | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost_inputs | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost_output | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost_value | PLearn::SubsamplingDBN | [mutable, protected] |
| final_cost_values | PLearn::SubsamplingDBN | [mutable, protected] |
| final_module | PLearn::SubsamplingDBN | |
| final_module_has_learning_rate | PLearn::SubsamplingDBN | [protected] |
| finalize() | PLearn::PLearner | [virtual] |
| finalized | PLearn::PLearner | |
| fineTuningStep(const Vec &input, const Vec &target, Vec &train_costs) | PLearn::SubsamplingDBN | |
| fineTuningStep(const Mat &inputs, const Mat &targets, Mat &train_costs) | PLearn::SubsamplingDBN | |
| forget() | PLearn::SubsamplingDBN | [virtual] |
| forget_when_training_set_changes | PLearn::PLearner | [protected] |
| getExperimentDirectory() const | PLearn::PLearner | [inline] |
| getOption(const string &optionname) const | PLearn::Object | |
| getOptionList() const | PLearn::SubsamplingDBN | [virtual] |
| getOptionMap() const | PLearn::SubsamplingDBN | [virtual] |
| getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
| getOptionsToSave() const | PLearn::Object | [virtual] |
| getOutputNames() const | PLearn::PLearner | [virtual] |
| getRemoteMethodMap() const | PLearn::SubsamplingDBN | [virtual] |
| getTestCostIndex(const string &costname) const | PLearn::PLearner | |
| getTestCostNames() const | PLearn::SubsamplingDBN | [virtual] |
| getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
| getTrainCostNames() const | PLearn::SubsamplingDBN | [virtual] |
| getTrainingSet() const | PLearn::PLearner | [inline] |
| getTrainStatsCollector() | PLearn::PLearner | [inline] |
| getValidationSet() const | PLearn::PLearner | [inline] |
| gibbs_chain_reinit_freq | PLearn::SubsamplingDBN | |
| gibbs_down_state | PLearn::SubsamplingDBN | [mutable, protected] |
| grad_decrease_ct | PLearn::SubsamplingDBN | |
| grad_learning_rate | PLearn::SubsamplingDBN | |
| greedyStep(const Vec &input, const Vec &target, int index) | PLearn::SubsamplingDBN | |
| greedyStep(const Mat &inputs, const Mat &targets, int index, Mat &train_costs_m) | PLearn::SubsamplingDBN | |
| hasOption(const string &optionname) const | PLearn::Object | |
| independent_biases | PLearn::SubsamplingDBN | |
| info() const | PLearn::Object | [virtual] |
| inherited typedef | PLearn::SubsamplingDBN | [private] |
| initialize_gibbs_chain | PLearn::SubsamplingDBN | [protected] |
| initTrain() | PLearn::PLearner | [protected] |
| inputsize() const | PLearn::PLearner | [virtual] |
| inputsize_ | PLearn::PLearner | [protected] |
| isStatefulLearner() const | PLearn::PLearner | [virtual] |
| joint_layer | PLearn::SubsamplingDBN | |
| jointGreedyStep(const Vec &input, const Vec &target) | PLearn::SubsamplingDBN | |
| layer_input | PLearn::SubsamplingDBN | [mutable, protected] |
| layer_inputs | PLearn::SubsamplingDBN | [mutable, protected] |
| layers | PLearn::SubsamplingDBN | |
| load(const PPath &filename) | PLearn::Object | [virtual] |
| makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::SubsamplingDBN | [virtual] |
| master_sends_testset_rows | PLearn::PLearner | |
| minibatch_size | PLearn::SubsamplingDBN | [protected] |
| n_classes | PLearn::SubsamplingDBN | |
| n_examples | PLearn::PLearner | [protected] |
| n_layers | PLearn::SubsamplingDBN | |
| newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
| newwrite(PStream &out) const | PLearn::Object | [virtual] |
| nll_cost_index | PLearn::SubsamplingDBN | [protected] |
| 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] |
| online | PLearn::SubsamplingDBN | |
| onlineStep(const Vec &input, const Vec &target, Vec &train_costs) | PLearn::SubsamplingDBN | |
| onlineStep(const Mat &inputs, const Mat &targets, Mat &train_costs) | PLearn::SubsamplingDBN | |
| optimized_costs | PLearn::SubsamplingDBN | [protected] |
| outputsize() const | PLearn::SubsamplingDBN | [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 | |
| partial_costs | PLearn::SubsamplingDBN | |
| partial_costs_indices | PLearn::SubsamplingDBN | [protected] |
| PLearner() | PLearn::PLearner | |
| pos_down_val | PLearn::SubsamplingDBN | [mutable, protected] |
| pos_down_vals | PLearn::SubsamplingDBN | [mutable, protected] |
| pos_up_val | PLearn::SubsamplingDBN | [mutable, protected] |
| pos_up_vals | PLearn::SubsamplingDBN | [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] |
| 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 | |
| reconstruct_layerwise | PLearn::SubsamplingDBN | |
| reconstruction_cost_index | PLearn::SubsamplingDBN | [protected] |
| reconstruction_costs | PLearn::SubsamplingDBN | [mutable, protected] |
| reduced_layers | PLearn::SubsamplingDBN | |
| 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_layer_activation | PLearn::SubsamplingDBN | [mutable, protected] |
| save_layer_activations | PLearn::SubsamplingDBN | [protected] |
| save_layer_expectation | PLearn::SubsamplingDBN | [mutable, protected] |
| save_layer_expectations | PLearn::SubsamplingDBN | [protected] |
| save_trainingset_prefix | PLearn::PLearner | |
| seed_ | PLearn::PLearner | |
| setExperimentDirectory(const PPath &the_expdir) | PLearn::PLearner | [virtual] |
| setLearningRate(real the_learning_rate) | PLearn::SubsamplingDBN | [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] |
| stage | PLearn::PLearner | |
| sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
| subsampling_gradients | PLearn::SubsamplingDBN | [mutable, protected] |
| subsampling_modules | PLearn::SubsamplingDBN | |
| SubsamplingDBN() | PLearn::SubsamplingDBN | |
| targetsize() const | PLearn::PLearner | [virtual] |
| targetsize_ | PLearn::PLearner | [protected] |
| test(VMat testset, PP< VecStatsCollector > test_stats, VMat testoutputs=0, VMat testcosts=0) const | PLearn::SubsamplingDBN | [virtual] |
| test_minibatch_size | PLearn::PLearner | |
| timer | PLearn::SubsamplingDBN | |
| top_layer_joint_cd | PLearn::SubsamplingDBN | |
| train() | PLearn::SubsamplingDBN | [virtual] |
| train_set | PLearn::PLearner | [protected] |
| train_stats | PLearn::PLearner | [protected] |
| training_cpu_time_cost_index | PLearn::SubsamplingDBN | [protected] |
| training_schedule | PLearn::SubsamplingDBN | |
| 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_classification_cost | PLearn::SubsamplingDBN | |
| useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
| validation_set | PLearn::PLearner | [protected] |
| verbosity | PLearn::PLearner | |
| 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 | |
| ~Object() | PLearn::Object | [virtual] |
| ~PPointable() | PLearn::PPointable | [inline, virtual] |