| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| CDifferentiableFunction() | CDifferentiableFunction | |
| check_bound(SGVector< float64_t > bound, const char *name) | CSingleSparseInference | protectedvirtual |
| check_features() | CSparseInference | protectedvirtual |
| check_fully_sparse() | CSingleSparseInference | protectedvirtual |
| check_members() const | CVarDTCInferenceMethod | protectedvirtual |
| CInference() | CInference | |
| CInference(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CInference | |
| clone() | CSGObject | virtual |
| compute_gradient() | CVarDTCInferenceMethod | protectedvirtual |
| convert_features() | CSparseInference | protectedvirtual |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| CSingleSparseInference() | CSingleSparseInference | |
| CSingleSparseInference(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSingleSparseInference | |
| CSparseInference() | CSparseInference | |
| CSparseInference(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSparseInference | |
| CVarDTCInferenceMethod() | CVarDTCInferenceMethod | |
| CVarDTCInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CVarDTCInferenceMethod | |
| deep_copy() const | CSGObject | virtual |
| enable_optimizing_inducing_features(bool is_optmization, FirstOrderMinimizer *minimizer=NULL) | CSingleSparseInference | virtual |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| get(const Tag< T > &_tag) const | CSGObject | |
| get(const std::string &name) const | CSGObject | |
| get_alpha() | CSparseInference | virtual |
| get_cholesky() | CSparseInference | virtual |
| get_derivative_helper(void *p) | CInference | protectedstatic |
| get_derivative_related_cov(SGVector< float64_t > ddiagKi, SGMatrix< float64_t > dKuui, SGMatrix< float64_t > dKui) | CVarDTCInferenceMethod | protectedvirtual |
| get_derivative_wrt_inducing_features(const TParameter *param) | CVarDTCInferenceMethod | protectedvirtual |
| get_derivative_wrt_inducing_noise(const TParameter *param) | CVarDTCInferenceMethod | protectedvirtual |
| get_derivative_wrt_inference_method(const TParameter *param) | CSingleSparseInference | protectedvirtual |
| get_derivative_wrt_kernel(const TParameter *param) | CSingleSparseInference | protectedvirtual |
| get_derivative_wrt_likelihood_model(const TParameter *param) | CVarDTCInferenceMethod | protectedvirtual |
| get_derivative_wrt_mean(const TParameter *param) | CVarDTCInferenceMethod | protectedvirtual |
| get_diagonal_vector() | CVarDTCInferenceMethod | virtual |
| get_features() | CInference | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_gradient(CMap< TParameter *, CSGObject * > *parameters) | CInference | virtual |
| get_inducing_features() | CSparseInference | virtual |
| get_inducing_noise() | CSparseInference | virtual |
| get_inference_type() const | CVarDTCInferenceMethod | virtual |
| get_kernel() | CInference | virtual |
| get_labels() | CInference | virtual |
| get_marginal_likelihood_estimate(int32_t num_importance_samples=1, float64_t ridge_size=1e-15) | CInference | |
| get_mean() | CInference | virtual |
| get_model() | CInference | |
| get_modelsel_names() | CSGObject | |
| get_modsel_param_descr(const char *param_name) | CSGObject | |
| get_modsel_param_index(const char *param_name) | CSGObject | |
| get_multiclass_E() | CInference | virtual |
| get_name() const | CVarDTCInferenceMethod | virtual |
| get_negative_log_marginal_likelihood() | CVarDTCInferenceMethod | virtual |
| get_negative_log_marginal_likelihood_derivatives(CMap< TParameter *, CSGObject * > *parameters) | CInference | virtual |
| get_posterior_covariance() | CVarDTCInferenceMethod | virtual |
| get_posterior_mean() | CVarDTCInferenceMethod | virtual |
| get_scale() const | CInference | virtual |
| get_value() | CInference | virtual |
| has(const std::string &name) const | CSGObject | |
| has(const Tag< T > &tag) const | CSGObject | |
| has(const std::string &name) const | CSGObject | |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_alpha | CInference | protected |
| m_E | CInference | protected |
| m_f3 | CVarDTCInferenceMethod | protected |
| m_features | CInference | protected |
| m_fully_sparse | CSingleSparseInference | protected |
| m_gradient_parameters | CSGObject | |
| m_gradient_update | CInference | protected |
| m_hash | CSGObject | |
| m_ind_tolerance | CSingleSparseInference | protected |
| m_inducing_features | CSparseInference | protected |
| m_inducing_minimizer | CSingleSparseInference | protected |
| m_inv_La | CVarDTCInferenceMethod | protected |
| m_inv_Lm | CVarDTCInferenceMethod | protected |
| m_kernel | CInference | protected |
| m_Knm_inv_Lm | CVarDTCInferenceMethod | protected |
| m_ktrtr | CInference | protected |
| m_ktrtr_diag | CSparseInference | protected |
| m_ktru | CSparseInference | protected |
| m_kuu | CSparseInference | protected |
| m_L | CInference | protected |
| m_labels | CInference | protected |
| m_lock | CSingleSparseInference | protected |
| m_log_ind_noise | CSparseInference | protected |
| m_log_scale | CInference | protected |
| m_lower_bound | CSingleSparseInference | protected |
| m_max_ind_iterations | CSingleSparseInference | protected |
| m_mean | CInference | protected |
| m_minimizer | CInference | protected |
| m_model | CInference | protected |
| m_model_selection_parameters | CSGObject | |
| m_mu | CSparseInference | protected |
| m_opt_inducing_features | CSingleSparseInference | protected |
| m_parameters | CSGObject | |
| m_Sigma | CSparseInference | protected |
| m_sigma2 | CVarDTCInferenceMethod | protected |
| m_Tmm | CVarDTCInferenceMethod | protected |
| m_Tnm | CVarDTCInferenceMethod | protected |
| m_trk | CVarDTCInferenceMethod | protected |
| m_upper_bound | CSingleSparseInference | protected |
| m_yy | CVarDTCInferenceMethod | protected |
| obtain_from_generic(CInference *inference) | CVarDTCInferenceMethod | static |
| optimize_inducing_features() | CSingleSparseInference | virtual |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| register_minimizer(Minimizer *minimizer) | CVarDTCInferenceMethod | virtual |
| register_param(Tag< T > &_tag, const T &value) | CSGObject | protected |
| register_param(const std::string &name, const T &value) | CSGObject | protected |
| save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| save_serializable_post() | CSGObject | protectedvirtual |
| save_serializable_pre() | CSGObject | protectedvirtual |
| set(const Tag< T > &_tag, const T &value) | CSGObject | |
| set(const std::string &name, const T &value) | CSGObject | |
| set_features(CFeatures *feat) | CInference | virtual |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_global_io(SGIO *io) | CSGObject | |
| set_global_parallel(Parallel *parallel) | CSGObject | |
| set_global_version(Version *version) | CSGObject | |
| set_inducing_features(CFeatures *feat) | CSparseInference | virtual |
| set_inducing_noise(float64_t noise) | CSparseInference | virtual |
| set_kernel(CKernel *kern) | CSingleSparseInference | virtual |
| set_labels(CLabels *lab) | CInference | virtual |
| set_lower_bound_of_inducing_features(SGVector< float64_t > bound) | CSingleSparseInference | virtual |
| set_max_iterations_for_inducing_features(int32_t it) | CSingleSparseInference | virtual |
| set_mean(CMeanFunction *m) | CInference | virtual |
| set_model(CLikelihoodModel *mod) | CInference | virtual |
| set_scale(float64_t scale) | CInference | virtual |
| set_tolearance_for_inducing_features(float64_t tol) | CSingleSparseInference | virtual |
| set_upper_bound_of_inducing_features(SGVector< float64_t > bound) | CSingleSparseInference | virtual |
| shallow_copy() const | CSGObject | virtual |
| supports_binary() const | CInference | virtual |
| supports_multiclass() const | CInference | virtual |
| supports_regression() const | CVarDTCInferenceMethod | virtual |
| unset_generic() | CSGObject | |
| update() | CVarDTCInferenceMethod | virtual |
| update_alpha() | CVarDTCInferenceMethod | protectedvirtual |
| update_chol() | CVarDTCInferenceMethod | protectedvirtual |
| update_deriv() | CVarDTCInferenceMethod | protectedvirtual |
| update_parameter_hash() | CSGObject | virtual |
| update_train_kernel() | CSparseInference | protectedvirtual |
| version | CSGObject | |
| ~CDifferentiableFunction() | CDifferentiableFunction | virtual |
| ~CInference() | CInference | virtual |
| ~CSGObject() | CSGObject | virtual |
| ~CSingleSparseInference() | CSingleSparseInference | virtual |
| ~CSparseInference() | CSparseInference | virtual |
| ~CVarDTCInferenceMethod() | CVarDTCInferenceMethod | virtual |
