| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| CDifferentiableFunction() | CDifferentiableFunction | |
| check_bound(SGVector< float64_t > bound, const char *name) | CSingleSparseInferenceBase | protectedvirtual |
| check_features() | CSparseInferenceBase | protectedvirtual |
| check_fully_sparse() | CSingleSparseInferenceBase | protectedvirtual |
| check_members() const | CSparseVGInferenceMethod | protectedvirtual |
| CInferenceMethod() | CInferenceMethod | |
| CInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CInferenceMethod | |
| clone() | CSGObject | virtual |
| compute_gradient() | CSparseVGInferenceMethod | protectedvirtual |
| convert_features() | CSparseInferenceBase | protectedvirtual |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| CSingleSparseInferenceBase() | CSingleSparseInferenceBase | |
| CSingleSparseInferenceBase(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSingleSparseInferenceBase | |
| CSparseInferenceBase() | CSparseInferenceBase | |
| CSparseInferenceBase(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSparseInferenceBase | |
| CSparseVGInferenceMethod() | CSparseVGInferenceMethod | |
| CSparseVGInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSparseVGInferenceMethod | |
| deep_copy() const | CSGObject | virtual |
| enable_optimizing_inducing_features(bool is_optmization) | CSingleSparseInferenceBase | virtual |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| get_alpha() | CSparseInferenceBase | virtual |
| get_cholesky() | CSparseInferenceBase | virtual |
| get_derivative_helper(void *p) | CInferenceMethod | protectedstatic |
| get_derivative_related_cov(SGVector< float64_t > ddiagKi, SGMatrix< float64_t > dKuui, SGMatrix< float64_t > dKui) | CSparseVGInferenceMethod | protectedvirtual |
| get_derivative_wrt_inducing_features(const TParameter *param) | CSparseVGInferenceMethod | protectedvirtual |
| get_derivative_wrt_inducing_noise(const TParameter *param) | CSparseVGInferenceMethod | protectedvirtual |
| get_derivative_wrt_inference_method(const TParameter *param) | CSingleSparseInferenceBase | protectedvirtual |
| get_derivative_wrt_kernel(const TParameter *param) | CSingleSparseInferenceBase | protectedvirtual |
| get_derivative_wrt_likelihood_model(const TParameter *param) | CSparseVGInferenceMethod | protectedvirtual |
| get_derivative_wrt_mean(const TParameter *param) | CSparseVGInferenceMethod | protectedvirtual |
| get_diagonal_vector() | CSparseVGInferenceMethod | virtual |
| get_features() | CInferenceMethod | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_gradient(CMap< TParameter *, CSGObject * > *parameters) | CInferenceMethod | virtual |
| get_inducing_features() | CSparseInferenceBase | virtual |
| get_inducing_noise() | CSparseInferenceBase | virtual |
| get_inference_type() const | CSparseVGInferenceMethod | virtual |
| get_kernel() | CInferenceMethod | virtual |
| get_labels() | CInferenceMethod | virtual |
| get_marginal_likelihood_estimate(int32_t num_importance_samples=1, float64_t ridge_size=1e-15) | CInferenceMethod | |
| get_mean() | CInferenceMethod | virtual |
| get_model() | CInferenceMethod | |
| 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() | CInferenceMethod | virtual |
| get_name() const | CSparseVGInferenceMethod | virtual |
| get_negative_log_marginal_likelihood() | CSparseVGInferenceMethod | virtual |
| get_negative_log_marginal_likelihood_derivatives(CMap< TParameter *, CSGObject * > *parameters) | CInferenceMethod | virtual |
| get_posterior_covariance() | CSparseVGInferenceMethod | virtual |
| get_posterior_mean() | CSparseVGInferenceMethod | virtual |
| get_scale() const | CInferenceMethod | virtual |
| get_value() | CInferenceMethod | virtual |
| 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 | CInferenceMethod | protected |
| m_E | CInferenceMethod | protected |
| m_f3 | CSparseVGInferenceMethod | protected |
| m_features | CInferenceMethod | protected |
| m_fully_sparse | CSingleSparseInferenceBase | protected |
| m_gradient_parameters | CSGObject | |
| m_gradient_update | CInferenceMethod | protected |
| m_hash | CSGObject | |
| m_ind_tolerance | CSingleSparseInferenceBase | protected |
| m_inducing_features | CSparseInferenceBase | protected |
| m_inv_La | CSparseVGInferenceMethod | protected |
| m_inv_Lm | CSparseVGInferenceMethod | protected |
| m_kernel | CInferenceMethod | protected |
| m_Knm_inv_Lm | CSparseVGInferenceMethod | protected |
| m_ktrtr | CInferenceMethod | protected |
| m_ktrtr_diag | CSparseInferenceBase | protected |
| m_ktru | CSparseInferenceBase | protected |
| m_kuu | CSparseInferenceBase | protected |
| m_L | CInferenceMethod | protected |
| m_labels | CInferenceMethod | protected |
| m_lock | CSingleSparseInferenceBase | protected |
| m_log_ind_noise | CSparseInferenceBase | protected |
| m_log_scale | CInferenceMethod | protected |
| m_lower_bound | CSingleSparseInferenceBase | protected |
| m_max_ind_iterations | CSingleSparseInferenceBase | protected |
| m_mean | CInferenceMethod | protected |
| m_model | CInferenceMethod | protected |
| m_model_selection_parameters | CSGObject | |
| m_mu | CSparseInferenceBase | protected |
| m_opt_inducing_features | CSingleSparseInferenceBase | protected |
| m_parameters | CSGObject | |
| m_Sigma | CSparseInferenceBase | protected |
| m_sigma2 | CSparseVGInferenceMethod | protected |
| m_Tmm | CSparseVGInferenceMethod | protected |
| m_Tnm | CSparseVGInferenceMethod | protected |
| m_trk | CSparseVGInferenceMethod | protected |
| m_upper_bound | CSingleSparseInferenceBase | protected |
| m_yy | CSparseVGInferenceMethod | protected |
| obtain_from_generic(CInferenceMethod *inference) | CSparseVGInferenceMethod | static |
| optimize_inducing_features() | CSingleSparseInferenceBase | virtual |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| save_serializable_post() | CSGObject | protectedvirtual |
| save_serializable_pre() | CSGObject | protectedvirtual |
| set_features(CFeatures *feat) | CInferenceMethod | 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) | CSparseInferenceBase | virtual |
| set_inducing_noise(float64_t noise) | CSparseInferenceBase | virtual |
| set_kernel(CKernel *kern) | CSingleSparseInferenceBase | virtual |
| set_labels(CLabels *lab) | CInferenceMethod | virtual |
| set_lower_bound_of_inducing_features(SGVector< float64_t > bound) | CSingleSparseInferenceBase | virtual |
| set_max_iterations_for_inducing_features(int32_t it) | CSingleSparseInferenceBase | virtual |
| set_mean(CMeanFunction *m) | CInferenceMethod | virtual |
| set_model(CLikelihoodModel *mod) | CInferenceMethod | virtual |
| set_scale(float64_t scale) | CInferenceMethod | virtual |
| set_tolearance_for_inducing_features(float64_t tol) | CSingleSparseInferenceBase | virtual |
| set_upper_bound_of_inducing_features(SGVector< float64_t > bound) | CSingleSparseInferenceBase | virtual |
| shallow_copy() const | CSGObject | virtual |
| supports_binary() const | CInferenceMethod | virtual |
| supports_multiclass() const | CInferenceMethod | virtual |
| supports_regression() const | CSparseVGInferenceMethod | virtual |
| unset_generic() | CSGObject | |
| update() | CSparseVGInferenceMethod | virtual |
| update_alpha() | CSparseVGInferenceMethod | protectedvirtual |
| update_chol() | CSparseVGInferenceMethod | protectedvirtual |
| update_deriv() | CSparseVGInferenceMethod | protectedvirtual |
| update_parameter_hash() | CSGObject | virtual |
| update_train_kernel() | CSparseInferenceBase | protectedvirtual |
| version | CSGObject | |
| ~CDifferentiableFunction() | CDifferentiableFunction | virtual |
| ~CInferenceMethod() | CInferenceMethod | virtual |
| ~CSGObject() | CSGObject | virtual |
| ~CSingleSparseInferenceBase() | CSingleSparseInferenceBase | virtual |
| ~CSparseInferenceBase() | CSparseInferenceBase | virtual |
| ~CSparseVGInferenceMethod() | CSparseVGInferenceMethod | virtual |
