, including all inherited members.
| _classname_() | PLearn::EntropyContrast | [static] |
| _getOptionList_() | PLearn::EntropyContrast | [static] |
| _getRemoteMethodMap_() | PLearn::EntropyContrast | [static] |
| _isa_(const Object *o) | PLearn::EntropyContrast | [static] |
| _new_instance_for_typemap_() | PLearn::EntropyContrast | [static] |
| _static_initialize_() | PLearn::EntropyContrast | [static] |
| _static_initializer_ | PLearn::EntropyContrast | [static] |
| alpha | PLearn::EntropyContrast | [private] |
| 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] |
| bias_hidden | PLearn::EntropyContrast | [private] |
| bias_output | PLearn::EntropyContrast | [private] |
| build() | PLearn::EntropyContrast | [virtual] |
| build_() | PLearn::EntropyContrast | [private] |
| build_from_train_set() | PLearn::PLearner | [inline, protected, virtual] |
| call(const string &methodname, int nargs, PStream &io) | PLearn::Object | [virtual] |
| changeOption(const string &optionname, const string &value) | PLearn::Object | |
| changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
| classname() const | PLearn::EntropyContrast | [virtual] |
| compute_df_dx(Mat &df_dx, const Vec &input) | PLearn::EntropyContrast | [private] |
| compute_diversity_cost(const Vec &f_x, const Vec &cost, Vec &grad_C_extra_cost_wrt_f_x) | PLearn::EntropyContrast | [private] |
| compute_extra_grad_wrt_df_dx(Mat &grad_C_wrt_df_dx) | PLearn::EntropyContrast | [private] |
| 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::EntropyContrast | [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 | |
| computeNNcontinuous_constraints(Vec &hidden_units, Vec &output_units) | PLearn::EntropyContrast | [private] |
| computeNNcontinuous_hidden(const Vec &input_units, Vec &hidden_units) | PLearn::EntropyContrast | [private] |
| computeOutput(const Vec &input, Vec &output) const | PLearn::EntropyContrast | [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] |
| cost_extra | PLearn::EntropyContrast | |
| cost_gen | PLearn::EntropyContrast | |
| cost_real | PLearn::EntropyContrast | |
| decay_factor | PLearn::EntropyContrast | |
| declareMethods(RemoteMethodMap &rmm) | PLearn::PLearner | [protected, static] |
| declareOptions(OptionList &ol) | PLearn::EntropyContrast | [protected, static] |
| declaringFile() | PLearn::EntropyContrast | [inline, static] |
| deepCopy(CopiesMap &copies) const | PLearn::EntropyContrast | [virtual] |
| deepCopyNoMap() | PLearn::Object | |
| df_dx | PLearn::EntropyContrast | [private] |
| EntropyContrast() | PLearn::EntropyContrast | |
| evaluate_every_n_epochs | PLearn::EntropyContrast | [private] |
| evaluate_first_epoch | PLearn::EntropyContrast | [private] |
| evaluation_method | PLearn::EntropyContrast | |
| expdir | PLearn::PLearner | |
| f_x | PLearn::EntropyContrast | [private] |
| f_x_hat | PLearn::EntropyContrast | [private] |
| finalize() | PLearn::PLearner | [virtual] |
| finalized | PLearn::PLearner | |
| forget() | PLearn::EntropyContrast | [virtual] |
| forget_when_training_set_changes | PLearn::PLearner | [protected] |
| full | PLearn::EntropyContrast | [private] |
| full_sum | PLearn::EntropyContrast | [private] |
| g_x | PLearn::EntropyContrast | [private] |
| gen_method | PLearn::EntropyContrast | |
| gen_normal_0_1(Vec &output) | PLearn::EntropyContrast | [private] |
| get_grad_log_variance_wrt_f(Vec &grad, const Vec &f_x, const Vec &mu, const Vec &sigma) | PLearn::EntropyContrast | [private] |
| get_NNcontinuous_output(const Vec &x, Vec &f_x, Vec &z_x) | PLearn::EntropyContrast | [private] |
| getExperimentDirectory() const | PLearn::PLearner | [inline] |
| getInfo() | PLearn::EntropyContrast | [inline, private] |
| getOption(const string &optionname) const | PLearn::Object | |
| getOptionList() const | PLearn::EntropyContrast | [virtual] |
| getOptionMap() const | PLearn::EntropyContrast | [virtual] |
| getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
| getOptionsToSave() const | PLearn::Object | [virtual] |
| getOutputNames() const | PLearn::PLearner | [virtual] |
| getRemoteMethodMap() const | PLearn::EntropyContrast | [virtual] |
| getTestCostIndex(const string &costname) const | PLearn::PLearner | |
| getTestCostNames() const | PLearn::EntropyContrast | [virtual] |
| getTrainCostIndex(const string &costname) const | PLearn::PLearner | |
| getTrainCostNames() const | PLearn::EntropyContrast | [virtual] |
| getTrainingSet() const | PLearn::PLearner | [inline] |
| getTrainStatsCollector() | PLearn::PLearner | [inline] |
| getValidationSet() const | PLearn::PLearner | [inline] |
| grad_C_extra_cost_wrt_f_x | PLearn::EntropyContrast | [private] |
| grad_C_generated_wrt_f_x_hat | PLearn::EntropyContrast | [private] |
| grad_C_real_wrt_f_x | PLearn::EntropyContrast | [private] |
| grad_C_wrt_df_dx | PLearn::EntropyContrast | [private] |
| grad_extra_wrt_bias_hidden | PLearn::EntropyContrast | [private] |
| grad_extra_wrt_bias_output | PLearn::EntropyContrast | [private] |
| grad_extra_wrt_v | PLearn::EntropyContrast | [private] |
| grad_extra_wrt_w | PLearn::EntropyContrast | [private] |
| grad_H_f_x_hat_wrt_bias_hidden | PLearn::EntropyContrast | [private] |
| grad_H_f_x_hat_wrt_bias_output | PLearn::EntropyContrast | [private] |
| grad_H_f_x_hat_wrt_v | PLearn::EntropyContrast | [private] |
| grad_H_f_x_hat_wrt_w | PLearn::EntropyContrast | [private] |
| grad_H_f_x_wrt_bias_hidden | PLearn::EntropyContrast | [private] |
| grad_H_f_x_wrt_bias_output | PLearn::EntropyContrast | [private] |
| grad_H_f_x_wrt_v | PLearn::EntropyContrast | [private] |
| grad_H_f_x_wrt_w | PLearn::EntropyContrast | [private] |
| grad_H_g_wrt_w | PLearn::EntropyContrast | [private] |
| hasOption(const string &optionname) const | PLearn::Object | |
| info() const | PLearn::Object | [virtual] |
| inherited typedef | PLearn::EntropyContrast | [private] |
| initialize_NNcontinuous() | PLearn::EntropyContrast | [private] |
| initTrain() | PLearn::PLearner | [protected] |
| inputsize | PLearn::EntropyContrast | |
| PLearn::PLearner::inputsize() const | PLearn::PLearner | [virtual] |
| inputsize_ | PLearn::PLearner | [protected] |
| isStatefulLearner() const | PLearn::PLearner | [virtual] |
| learning_rate | PLearn::EntropyContrast | |
| load(const PPath &filename) | PLearn::Object | [virtual] |
| makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::EntropyContrast | [virtual] |
| master_sends_testset_rows | PLearn::PLearner | |
| mu_f | PLearn::EntropyContrast | [private] |
| mu_f_hat | PLearn::EntropyContrast | [private] |
| mu_f_square | PLearn::EntropyContrast | [private] |
| mu_g | PLearn::EntropyContrast | [private] |
| n | PLearn::EntropyContrast | [private] |
| n_examples | PLearn::PLearner | [protected] |
| n_seen_examples | PLearn::EntropyContrast | |
| nconstraints | PLearn::EntropyContrast | |
| newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
| newwrite(PStream &out) const | PLearn::Object | [virtual] |
| nhidden | PLearn::EntropyContrast | [private] |
| 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] |
| outputsize() const | PLearn::EntropyContrast | [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 | |
| PLearner() | PLearn::PLearner | |
| 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(const Vec &output, Vec &input) const | PLearn::EntropyContrast | |
| 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 | |
| set_NNcontinuous_gradient(Vec &grad_C_real_wrt_f_x, Mat &grad_H_f_x_wrt_w, Mat &grad_H_f_x_wrt_v, Vec &z_x, Vec &x, Vec &grad_H_f_x_wrt_bias_output, Vec &grad_H_f_x_wrt_bias_hidden) | PLearn::EntropyContrast | [private] |
| set_NNcontinuous_gradient_from_extra_cost(Mat &grad_C_wrt_df_dx, const Vec &input) | PLearn::EntropyContrast | [private] |
| setExperimentDirectory(const PPath &the_expdir) | PLearn::PLearner | [virtual] |
| 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] |
| sigma_f | PLearn::EntropyContrast | [private] |
| sigma_f_hat | PLearn::EntropyContrast | [private] |
| sigma_f_square | PLearn::EntropyContrast | [private] |
| sigma_g | PLearn::EntropyContrast | [private] |
| stage | PLearn::PLearner | |
| starting_learning_rate | PLearn::EntropyContrast | |
| sub_test(VMat testset, PP< VecStatsCollector > test_stats, bool rtestoutputs, bool rtestcosts) const | PLearn::PLearner | [virtual] |
| 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 | |
| test_set | PLearn::EntropyContrast | [private] |
| train() | PLearn::EntropyContrast | [virtual] |
| train_set | PLearn::PLearner | [protected] |
| train_stats | PLearn::PLearner | [protected] |
| unref() const | PLearn::PPointable | [inline] |
| update_alpha(int stage, int current_input_index) | PLearn::EntropyContrast | [private] |
| update_mu_sigma_f(const Vec &f_x, Vec &mu, Vec &sigma) | PLearn::EntropyContrast | [private] |
| update_NNcontinuous() | PLearn::EntropyContrast | [private] |
| update_NNcontinuous_from_extra_cost() | PLearn::EntropyContrast | [private] |
| usage() const | PLearn::PPointable | [inline] |
| use(VMat testset, VMat outputs) const | PLearn::PLearner | [virtual] |
| use_a_separate_random_generator_for_testing | PLearn::PLearner | |
| useOnTrain(Mat &outputs) const | PLearn::PLearner | [virtual] |
| v | PLearn::EntropyContrast | [private] |
| validation_set | PLearn::EntropyContrast | [private] |
| verbosity | PLearn::PLearner | |
| w | PLearn::EntropyContrast | [private] |
| weight_decay_hidden | PLearn::EntropyContrast | |
| weight_decay_output | PLearn::EntropyContrast | |
| weight_extra | PLearn::EntropyContrast | |
| weight_gen | PLearn::EntropyContrast | |
| weight_real | PLearn::EntropyContrast | |
| 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 | |
| x | PLearn::EntropyContrast | [private] |
| x_hat | PLearn::EntropyContrast | [private] |
| z_x | PLearn::EntropyContrast | [private] |
| z_x_hat | PLearn::EntropyContrast | [private] |
| ~Object() | PLearn::Object | [virtual] |
| ~PPointable() | PLearn::PPointable | [inline, virtual] |