, including all inherited members.
  | _classname_() | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | _getOptionList_() | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | _getRemoteMethodMap_() | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | _isa_(const Object *o) | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | _new_instance_for_typemap_() | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | _static_initialize_() | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | _static_initializer_ | PLearn::UnfrozenDeepBeliefNet |  [static] | 
  | activation_gradients | PLearn::HintonDeepBeliefNet |  [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] | 
  | batchComputeOutputAndConfidence(VMat inputs, real probability, VMat outputs_and_confidence) const | PLearn::PLearner |  [virtual] | 
  | build() | PLearn::UnfrozenDeepBeliefNet |  [virtual] | 
  | build_() | PLearn::UnfrozenDeepBeliefNet |  [private] | 
  | build_from_train_set() | PLearn::PLearner |  [inline, protected, virtual] | 
  | call(const string &methodname, int nargs, PStream &io) | PLearn::Object |  [virtual] | 
  | cdf(const Vec &y) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | changeOption(const string &optionname, const string &value) | PLearn::Object |  | 
  | changeOptions(const map< string, string > &name_value) | PLearn::Object |  [virtual] | 
  | classname() const | PLearn::UnfrozenDeepBeliefNet |  [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::HintonDeepBeliefNet |  [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::PDistribution |  [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] | 
  | contrastiveDivergenceStep(const PP< RBMLayer > &down_layer, const PP< RBMParameters > ¶meters, const PP< RBMLayer > &up_layer) | PLearn::HintonDeepBeliefNet |  [protected, virtual] | 
  | declareMethods(RemoteMethodMap &rmm) | PLearn::PDistribution |  [protected, static] | 
  | declareOptions(OptionList &ol) | PLearn::UnfrozenDeepBeliefNet |  [protected, static] | 
  | declaringFile() | PLearn::UnfrozenDeepBeliefNet |  [inline, static] | 
  | deepCopy(CopiesMap &copies) const | PLearn::UnfrozenDeepBeliefNet |  [virtual] | 
  | deepCopyNoMap() | PLearn::Object |  | 
  | delta_curve | PLearn::PDistribution |  [protected] | 
  | density(const Vec &y) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | expdir | PLearn::PLearner |  | 
  | expectation(Vec &mu) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | expectation_gradients | PLearn::HintonDeepBeliefNet |  [mutable, protected] | 
  | finalize() | PLearn::PLearner |  [virtual] | 
  | finalized | PLearn::PLearner |  | 
  | fine_tuning_decrease_ct | PLearn::HintonDeepBeliefNet |  | 
  | fine_tuning_learning_rate | PLearn::HintonDeepBeliefNet |  | 
  | fineTuneByGradientDescent(const Vec &input, const Vec &train_costs) | PLearn::HintonDeepBeliefNet |  [protected, virtual] | 
  | forget() | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | forget_when_training_set_changes | PLearn::PLearner |  [protected] | 
  | generate(Vec &y) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | generateJoint(Vec &xy) | PLearn::PDistribution |  [virtual] | 
  | generateJoint(Vec &x, Vec &y) | PLearn::PDistribution |  | 
  | generateN(const Mat &Y) const | PLearn::PDistribution |  [virtual] | 
  | generatePredicted(Vec &y) | PLearn::PDistribution |  [virtual] | 
  | generatePredictor(Vec &x) | PLearn::PDistribution |  [virtual] | 
  | generatePredictorGivenPredicted(Vec &x, const Vec &y) | PLearn::PDistribution |  [virtual] | 
  | getExperimentDirectory() const | PLearn::PLearner |  [inline] | 
  | getNPredicted() const | PLearn::PDistribution |  [inline] | 
  | getNPredictor() const | PLearn::PDistribution |  [inline] | 
  | getOption(const string &optionname) const | PLearn::Object |  | 
  | getOptionList() const | PLearn::UnfrozenDeepBeliefNet |  [virtual] | 
  | getOptionMap() const | PLearn::UnfrozenDeepBeliefNet |  [virtual] | 
  | getOptionsToRemoteTransmit() const | PLearn::Object |  [virtual] | 
  | getOptionsToSave() const | PLearn::Object |  [virtual] | 
  | getOutputNames() const | PLearn::PLearner |  [virtual] | 
  | getRemoteMethodMap() const | PLearn::UnfrozenDeepBeliefNet |  [virtual] | 
  | getTestCostIndex(const string &costname) const | PLearn::PLearner |  | 
  | getTestCostNames() const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | getTrainCostIndex(const string &costname) const | PLearn::PLearner |  | 
  | getTrainCostNames() const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | getTrainingSet() const | PLearn::PLearner |  [inline] | 
  | getTrainStatsCollector() | PLearn::PLearner |  [inline] | 
  | getValidationSet() const | PLearn::PLearner |  [inline] | 
  | greedyStep(const Vec &predictor, int params_index) | PLearn::HintonDeepBeliefNet |  [protected, virtual] | 
  | hasOption(const string &optionname) const | PLearn::Object |  | 
  | HintonDeepBeliefNet() | PLearn::HintonDeepBeliefNet |  | 
  | info() const | PLearn::Object |  [virtual] | 
  | inherited typedef | PLearn::UnfrozenDeepBeliefNet |  [private] | 
  | initialization_method | PLearn::HintonDeepBeliefNet |  | 
  | initTrain() | PLearn::PLearner |  [protected] | 
  | inputsize() const | PLearn::PLearner |  [virtual] | 
  | inputsize_ | PLearn::PLearner |  [protected] | 
  | isStatefulLearner() const | PLearn::PLearner |  [virtual] | 
  | joint_layer | PLearn::HintonDeepBeliefNet |  | 
  | joint_params | PLearn::HintonDeepBeliefNet |  | 
  | jointGreedyStep(const Vec &input) | PLearn::HintonDeepBeliefNet |  [protected, virtual] | 
  | last_layer | PLearn::HintonDeepBeliefNet |  | 
  | layers | PLearn::HintonDeepBeliefNet |  | 
  | learning_rate | PLearn::HintonDeepBeliefNet |  | 
  | learning_rates | PLearn::UnfrozenDeepBeliefNet |  | 
  | load(const PPath &filename) | PLearn::Object |  [virtual] | 
  | log_density(const Vec &y) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | lower_bound | PLearn::PDistribution |  | 
  | makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::UnfrozenDeepBeliefNet |  [virtual] | 
  | master_sends_testset_rows | PLearn::PLearner |  | 
  | missingExpectation(const Vec &input, Vec &mu) | PLearn::PDistribution |  [virtual] | 
  | n_curve_points | PLearn::PDistribution |  | 
  | n_examples | PLearn::PLearner |  [protected] | 
  | n_layers | PLearn::HintonDeepBeliefNet |  | 
  | n_predicted | PLearn::PDistribution |  [mutable, protected] | 
  | n_predictor | PLearn::PDistribution |  [mutable, protected] | 
  | newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object |  | 
  | newwrite(PStream &out) const | PLearn::Object |  [virtual] | 
  | 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] | 
  | output_gradient | PLearn::HintonDeepBeliefNet |  [mutable, protected] | 
  | outputs_def | PLearn::PDistribution |  | 
  | outputsize() const | PLearn::PDistribution |  [virtual] | 
  | parallelize_here | PLearn::PLearner |  | 
  | params | PLearn::HintonDeepBeliefNet |  | 
  | 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 |  | 
  | PDistribution() | PLearn::PDistribution |  | 
  | PLearner() | PLearn::PLearner |  | 
  | pos_down_values | PLearn::HintonDeepBeliefNet |  [mutable, protected] | 
  | pos_up_values | PLearn::HintonDeepBeliefNet |  [mutable, protected] | 
  | PPointable() | PLearn::PPointable |  [inline] | 
  | PPointable(const PPointable &other) | PLearn::PPointable |  [inline] | 
  | predicted_part | PLearn::PDistribution |  [mutable, protected] | 
  | predicted_size | PLearn::PDistribution |  [protected] | 
  | predictor_part | PLearn::PDistribution |  [mutable, protected] | 
  | predictor_size | PLearn::PDistribution |  [protected] | 
  | prepareToSendResults(PStream &out, int nres) | PLearn::Object |  [static] | 
  | processDataSet(VMat dataset) const | PLearn::PLearner |  [virtual] | 
  | ptimer | PLearn::HintonDeepBeliefNet |  | 
  | 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 |  | 
  | ref() const | PLearn::PPointable |  [inline] | 
  | remote_generate() | PLearn::PDistribution |  | 
  | 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 |  | 
  | resetGenerator(long g_seed) | PLearn::PDistribution |  [virtual] | 
  | resetInternalState() | PLearn::PLearner |  [virtual] | 
  | run() | PLearn::Object |  [virtual] | 
  | save(const PPath &filename) const | PLearn::Object |  [virtual] | 
  | 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 |  | 
  | setPredictor(const Vec &predictor, bool call_parent=true) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | setPredictorPredictedSizes(int the_predictor_size, int the_predicted_size, bool call_parent=true) | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | setTrainingSet(VMat training_set, bool call_forget=true) | PLearn::PLearner |  [virtual] | 
  | setTrainStatsCollector(PP< VecStatsCollector > statscol) | PLearn::PLearner |  [virtual] | 
  | setValidationSet(VMat validset) | PLearn::PLearner |  [virtual] | 
  | splitCond(const Vec &input) const | PLearn::PDistribution |  [protected] | 
  | stage | PLearn::PLearner |  | 
  | store_cov | PLearn::PDistribution |  [mutable, protected] | 
  | store_expect | PLearn::PDistribution |  [mutable, protected] | 
  | store_result | PLearn::PDistribution |  [mutable, protected] | 
  | sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner |  [virtual] | 
  | sum_parallel_contributions | PLearn::HintonDeepBeliefNet |  | 
  | survival_fn(const Vec &y) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | target_layer | PLearn::HintonDeepBeliefNet |  | 
  | target_params | PLearn::HintonDeepBeliefNet |  | 
  | 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::UnfrozenDeepBeliefNet |  [virtual] | 
  | train_set | PLearn::PLearner |  [protected] | 
  | train_stats | PLearn::PLearner |  [protected] | 
  | training_schedule | PLearn::HintonDeepBeliefNet |  | 
  | UnfrozenDeepBeliefNet() | PLearn::UnfrozenDeepBeliefNet |  | 
  | unknownOutput(char def, const Vec &input, Vec &output, int &k) const | PLearn::PDistribution |  [protected, virtual] | 
  | unref() const | PLearn::PPointable |  [inline] | 
  | upper_bound | PLearn::PDistribution |  | 
  | usage() const | PLearn::PPointable |  [inline] | 
  | use(VMat testset, VMat outputs) const | PLearn::PLearner |  [virtual] | 
  | use_a_separate_random_generator_for_testing | PLearn::PLearner |  | 
  | use_sample_or_expectation | PLearn::HintonDeepBeliefNet |  | 
  | useOnTrain(Mat &outputs) const | PLearn::PLearner |  [virtual] | 
  | validation_set | PLearn::PLearner |  [protected] | 
  | variance(Mat &cov) const | PLearn::HintonDeepBeliefNet |  [virtual] | 
  | verbosity | PLearn::PLearner |  | 
  | weight_decay | PLearn::HintonDeepBeliefNet |  | 
  | 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] |