, including all inherited members.
| _classname_() | PLearn::NnlmOutputLayer | [static] |
| _getOptionList_() | PLearn::NnlmOutputLayer | [static] |
| _getRemoteMethodMap_() | PLearn::NnlmOutputLayer | [static] |
| _isa_(const Object *o) | PLearn::NnlmOutputLayer | [static] |
| _new_instance_for_typemap_() | PLearn::NnlmOutputLayer | [static] |
| _static_initialize_() | PLearn::NnlmOutputLayer | [static] |
| _static_initializer_ | PLearn::NnlmOutputLayer | [static] |
| ad_gradient | PLearn::NnlmOutputLayer | [mutable] |
| addCandidateContribution(int c) const | PLearn::NnlmOutputLayer | |
| applyAllClassVars() | PLearn::NnlmOutputLayer | |
| applyMuAndSigmaEmpiricalUpdate(const Vec &input) const | PLearn::NnlmOutputLayer | |
| applyMuCandidateGradient(int c) const | PLearn::NnlmOutputLayer | |
| applyMuGradient() const | PLearn::NnlmOutputLayer | |
| applyMuTargetGradient() const | PLearn::NnlmOutputLayer | |
| applySigmaCandidateGradient(int c) const | PLearn::NnlmOutputLayer | |
| applySigmaGradient() const | PLearn::NnlmOutputLayer | |
| applySigmaTargetGradient() const | PLearn::NnlmOutputLayer | |
| asString() const | PLearn::Object | [virtual] |
| asStringRemoteTransmit() const | PLearn::Object | [virtual] |
| bbpropUpdate(const Vec &input, const Vec &output, const Vec &output_gradient, const Vec &output_diag_hessian) | PLearn::OnlineLearningModule | [virtual] |
| bbpropUpdate(const Vec &input, const Vec &output, Vec &input_gradient, const Vec &output_gradient, Vec &input_diag_hessian, const Vec &output_diag_hessian, bool accumulate=false) | PLearn::OnlineLearningModule | [virtual] |
| beta | PLearn::NnlmOutputLayer | [mutable] |
| bill | PLearn::NnlmOutputLayer | [mutable] |
| bob | PLearn::NnlmOutputLayer | [mutable] |
| bpropAccUpdate(const TVec< Mat * > &ports_value, const TVec< Mat * > &ports_gradient) | PLearn::OnlineLearningModule | [virtual] |
| bpropDoesNothing() | PLearn::OnlineLearningModule | [inline, virtual] |
| bpropUpdate(const Vec &input, const Vec &output, Vec &input_gradient, const Vec &output_gradient) | PLearn::NnlmOutputLayer | [virtual] |
| PLearn::OnlineLearningModule::bpropUpdate(const Vec &input, const Vec &output, const Vec &output_gradient) | PLearn::OnlineLearningModule | [virtual] |
| PLearn::OnlineLearningModule::bpropUpdate(const Mat &inputs, const Mat &outputs, const Mat &output_gradients) | PLearn::OnlineLearningModule | [virtual] |
| PLearn::OnlineLearningModule::bpropUpdate(const TVec< Mat * > &ports_value, const TVec< Mat * > &ports_gradient) | PLearn::OnlineLearningModule | |
| PLearn::OnlineLearningModule::bpropUpdate(const Vec &input, const Vec &output, Vec &input_gradient, const Vec &output_gradient, bool accumulate=false) | PLearn::OnlineLearningModule | [virtual] |
| PLearn::OnlineLearningModule::bpropUpdate(const Mat &inputs, const Mat &outputs, Mat &input_gradients, const Mat &output_gradients, bool accumulate=false) | PLearn::OnlineLearningModule | [virtual] |
| build() | PLearn::NnlmOutputLayer | [virtual] |
| build_() | PLearn::NnlmOutputLayer | [private] |
| call(const string &methodname, int nargs, PStream &io) | PLearn::Object | [virtual] |
| candidates | PLearn::NnlmOutputLayer | |
| changeOption(const string &optionname, const string &value) | PLearn::Object | |
| changeOptions(const map< string, string > &name_value) | PLearn::Object | [virtual] |
| checkProp(const TVec< Mat * > &ports_data) | PLearn::OnlineLearningModule | |
| classname() const | PLearn::NnlmOutputLayer | [virtual] |
| compute_approx_nl_p_t_r(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | |
| compute_nl_p_rt(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | |
| compute_nl_p_t_r(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | |
| computeApproxDiscriminantGradient() const | PLearn::NnlmOutputLayer | |
| computeDiscriminantGradient() const | PLearn::NnlmOutputLayer | |
| computeEmpiricalLearningRateParameters() | PLearn::NnlmOutputLayer | |
| computeNonDiscriminantGradient() const | PLearn::NnlmOutputLayer | |
| context | PLearn::NnlmOutputLayer | [mutable] |
| context_cardinality | PLearn::NnlmOutputLayer | |
| cost | PLearn::NnlmOutputLayer | |
| COST_APPROX_DISCR enum value | PLearn::NnlmOutputLayer | |
| COST_DISCR enum value | PLearn::NnlmOutputLayer | |
| COST_NON_DISCR enum value | PLearn::NnlmOutputLayer | |
| declareMethods(RemoteMethodMap &rmm) | PLearn::OnlineLearningModule | [protected, static] |
| declareOptions(OptionList &ol) | PLearn::NnlmOutputLayer | [protected, static] |
| declaringFile() | PLearn::NnlmOutputLayer | [inline, static] |
| deepCopy(CopiesMap &copies) const | PLearn::NnlmOutputLayer | [virtual] |
| deepCopyNoMap() | PLearn::Object | |
| dl_decrease_constant | PLearn::NnlmOutputLayer | |
| dl_lr | PLearn::NnlmOutputLayer | [mutable] |
| dl_start_learning_rate | PLearn::NnlmOutputLayer | |
| during_training | PLearn::OnlineLearningModule | [static] |
| el_decrease_constant | PLearn::NnlmOutputLayer | |
| el_dr | PLearn::NnlmOutputLayer | [mutable] |
| el_last_update | PLearn::NnlmOutputLayer | |
| el_start_discount_factor | PLearn::NnlmOutputLayer | |
| el_start_learning_rate | PLearn::NnlmOutputLayer | |
| estimate_simpler_diag_hessian | PLearn::OnlineLearningModule | |
| expdir | PLearn::OnlineLearningModule | |
| fd_gradient | PLearn::NnlmOutputLayer | [mutable] |
| finalize() | PLearn::OnlineLearningModule | [inline, virtual] |
| forget() | PLearn::NnlmOutputLayer | [virtual] |
| fprop(const Vec &input, Vec &output) const | PLearn::NnlmOutputLayer | [virtual] |
| PLearn::OnlineLearningModule::fprop(const Mat &inputs, Mat &outputs) | PLearn::OnlineLearningModule | [virtual] |
| PLearn::OnlineLearningModule::fprop(const TVec< Mat * > &ports_value) | PLearn::OnlineLearningModule | [virtual] |
| g_exponent | PLearn::NnlmOutputLayer | [mutable] |
| getBestCandidates(const Vec &input, Vec &candidate_tags, Vec &probabilities) const | PLearn::NnlmOutputLayer | |
| getOption(const string &optionname) const | PLearn::Object | |
| getOptionList() const | PLearn::NnlmOutputLayer | [virtual] |
| getOptionMap() const | PLearn::NnlmOutputLayer | [virtual] |
| getOptionsToRemoteTransmit() const | PLearn::Object | [virtual] |
| getOptionsToSave() const | PLearn::Object | [virtual] |
| getPortIndex(const string &port) | PLearn::OnlineLearningModule | [virtual] |
| getPortLength(const string &port) | PLearn::OnlineLearningModule | |
| getPortName(int i) | PLearn::OnlineLearningModule | |
| getPorts() | PLearn::OnlineLearningModule | [virtual] |
| getPortSizes() | PLearn::OnlineLearningModule | [virtual] |
| getPortWidth(const string &port) | PLearn::OnlineLearningModule | |
| getRemoteMethodMap() const | PLearn::NnlmOutputLayer | [virtual] |
| global_mu | PLearn::NnlmOutputLayer | |
| global_sigma2 | PLearn::NnlmOutputLayer | |
| global_sumR | PLearn::NnlmOutputLayer | |
| global_sumR2 | PLearn::NnlmOutputLayer | |
| gradient_log_tmp | PLearn::NnlmOutputLayer | [mutable] |
| gradient_log_tmp_neg | PLearn::NnlmOutputLayer | [mutable] |
| gradient_log_tmp_pos | PLearn::NnlmOutputLayer | [mutable] |
| hasOption(const string &optionname) const | PLearn::Object | |
| info() const | PLearn::Object | [virtual] |
| inherited typedef | PLearn::NnlmOutputLayer | [private] |
| input_size | PLearn::OnlineLearningModule | |
| is_learning | PLearn::NnlmOutputLayer | |
| learning | PLearn::NnlmOutputLayer | |
| LEARNING_DISCRIMINANT enum value | PLearn::NnlmOutputLayer | |
| LEARNING_EMPIRICAL enum value | PLearn::NnlmOutputLayer | |
| load(const PPath &filename) | PLearn::Object | [virtual] |
| log_g_det_covariance | PLearn::NnlmOutputLayer | [mutable] |
| log_g_normalization | PLearn::NnlmOutputLayer | [mutable] |
| log_sum_p_ru | PLearn::NnlmOutputLayer | [mutable] |
| makeDeepCopyFromShallowCopy(CopiesMap &copies) | PLearn::NnlmOutputLayer | [virtual] |
| mu | PLearn::NnlmOutputLayer | |
| name | PLearn::OnlineLearningModule | |
| namedBpropAccUpdate(map< string, Mat > &values, map< string, Mat > &gradients, TVec< string > additional_input_gradients) | PLearn::OnlineLearningModule | [virtual] |
| namedFprop(map< string, Mat > &inputs, TVec< string > wanted_outputs) | PLearn::OnlineLearningModule | [virtual] |
| nd_gradient | PLearn::NnlmOutputLayer | [mutable] |
| newread(PStream &in, unsigned int id=UINT_MAX) | PLearn::Object | |
| newwrite(PStream &out) const | PLearn::Object | [virtual] |
| NnlmOutputLayer() | PLearn::NnlmOutputLayer | |
| nPorts() | PLearn::OnlineLearningModule | |
| Object(bool call_build_=false) | PLearn::Object | |
| oldread(istream &in) | PLearn::Object | [virtual] |
| OnlineLearningModule(const string &the_name="", bool call_build_=false) | PLearn::OnlineLearningModule | |
| output_size | PLearn::OnlineLearningModule | |
| 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 | |
| pi | PLearn::NnlmOutputLayer | |
| port_sizes | PLearn::OnlineLearningModule | [protected] |
| PPointable() | PLearn::PPointable | [inline] |
| PPointable(const PPointable &other) | PLearn::PPointable | [inline] |
| prepareToSendResults(PStream &out, int nres) | PLearn::Object | [static] |
| random_gen | PLearn::OnlineLearningModule | |
| read(istream &in) | PLearn::Object | [virtual] |
| readOptionVal(PStream &in, const string &optionname, unsigned int id=UINT_MAX) | PLearn::Object | |
| ref() const | PLearn::PPointable | [inline] |
| resetAllClassVars() | PLearn::NnlmOutputLayer | |
| resetParameters() | PLearn::NnlmOutputLayer | |
| run() | PLearn::Object | [virtual] |
| s | PLearn::NnlmOutputLayer | [mutable] |
| s_sumI | PLearn::NnlmOutputLayer | [mutable] |
| save(const PPath &filename) const | PLearn::Object | [virtual] |
| setContext(int the_context) const | PLearn::NnlmOutputLayer | |
| setCost(int the_cost) | PLearn::NnlmOutputLayer | |
| setLearning(int the_learning) | PLearn::NnlmOutputLayer | |
| setLearningRate(real dynamic_learning_rate) | PLearn::OnlineLearningModule | [virtual] |
| setOption(const string &optionname, const string &value) | PLearn::Object | |
| setTarget(int the_target) const | PLearn::NnlmOutputLayer | |
| shared_candidates | PLearn::NnlmOutputLayer | |
| sigma2 | PLearn::NnlmOutputLayer | |
| sigma2min | PLearn::NnlmOutputLayer | |
| step_number | PLearn::NnlmOutputLayer | |
| sumI | PLearn::NnlmOutputLayer | |
| sumR | PLearn::NnlmOutputLayer | |
| sumR2 | PLearn::NnlmOutputLayer | |
| target | PLearn::NnlmOutputLayer | [mutable] |
| target_cardinality | PLearn::NnlmOutputLayer | |
| the_real_target | PLearn::NnlmOutputLayer | [mutable] |
| tmp_input_diag_hessian | PLearn::OnlineLearningModule | [mutable, protected] |
| tmp_input_gradient | PLearn::OnlineLearningModule | [mutable, protected] |
| tmpm_input_gradient | PLearn::OnlineLearningModule | [mutable, protected] |
| umc | PLearn::NnlmOutputLayer | |
| unref() const | PLearn::PPointable | [inline] |
| updateClassVars(const int the_target, const Vec &the_input) | PLearn::NnlmOutputLayer | |
| usage() const | PLearn::PPointable | [inline] |
| use_fast_approximations | PLearn::OnlineLearningModule | |
| vec_log_p_r_t | PLearn::NnlmOutputLayer | [mutable] |
| vec_log_p_rg_t | PLearn::NnlmOutputLayer | [mutable] |
| vec_log_p_rt | PLearn::NnlmOutputLayer | [mutable] |
| verbosity | PLearn::OnlineLearningModule | |
| 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] |