| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| CDifferentiableFunction() | CDifferentiableFunction | |
| check_members() const | CInferenceMethod | protectedvirtual |
| check_variational_likelihood(CLikelihoodModel *mod) const | CKLInferenceMethod | protectedvirtual |
| CInferenceMethod() | CInferenceMethod | |
| CInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CInferenceMethod | |
| CKLInferenceMethod() | CKLInferenceMethod | |
| CKLInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CKLInferenceMethod | |
| CKLLowerTriangularInferenceMethod() | CKLLowerTriangularInferenceMethod | |
| CKLLowerTriangularInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CKLLowerTriangularInferenceMethod | |
| clone() | CSGObject | virtual |
| compute_gradient() | CKLInferenceMethod | protectedvirtual |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| deep_copy() const | CSGObject | virtual |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| get_cholesky() | CKLInferenceMethod | virtual |
| get_derivative_helper(void *p) | CInferenceMethod | protectedstatic |
| get_derivative_related_cov(SGMatrix< float64_t > dK) | CKLLowerTriangularInferenceMethod | protectedvirtual |
| get_derivative_wrt_inference_method(const TParameter *param) | CKLInferenceMethod | protectedvirtual |
| get_derivative_wrt_kernel(const TParameter *param) | CKLInferenceMethod | protectedvirtual |
| get_derivative_wrt_likelihood_model(const TParameter *param) | CKLInferenceMethod | protectedvirtual |
| get_derivative_wrt_mean(const TParameter *param) | CKLInferenceMethod | protectedvirtual |
| get_diagonal_vector() | CKLLowerTriangularInferenceMethod | 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_gradient_of_nlml_wrt_parameters(SGVector< float64_t > gradient)=0 | CKLInferenceMethod | protectedpure virtual |
| get_inference_type() const | CKLInferenceMethod | 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 | CKLLowerTriangularInferenceMethod | virtual |
| get_negative_log_marginal_likelihood() | CKLInferenceMethod | virtual |
| get_negative_log_marginal_likelihood_derivatives(CMap< TParameter *, CSGObject * > *parameters) | CInferenceMethod | virtual |
| get_negative_log_marginal_likelihood_helper()=0 | CKLInferenceMethod | protectedpure virtual |
| get_nlml_wrt_parameters() | CKLInferenceMethod | protectedvirtual |
| get_posterior_covariance() | CKLInferenceMethod | virtual |
| get_posterior_mean() | CKLInferenceMethod | virtual |
| get_scale() const | CInferenceMethod | virtual |
| get_value() | CInferenceMethod | virtual |
| get_variational_likelihood() const | CKLInferenceMethod | protectedvirtual |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| lbfgs_optimization() | CKLInferenceMethod | protectedvirtual |
| lbfgs_precompute()=0 | CKLInferenceMethod | protectedpure 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_delta | CKLInferenceMethod | protected |
| m_E | CInferenceMethod | protected |
| m_epsilon | CKLInferenceMethod | protected |
| m_exp_factor | CKLInferenceMethod | protected |
| m_features | CInferenceMethod | protected |
| m_ftol | CKLInferenceMethod | protected |
| m_gradient_parameters | CSGObject | |
| m_gradient_update | CInferenceMethod | protected |
| m_gtol | CKLInferenceMethod | protected |
| m_hash | CSGObject | |
| m_InvK_Sigma | CKLLowerTriangularInferenceMethod | protected |
| m_kernel | CInferenceMethod | protected |
| m_Kernel_LsD | CKLLowerTriangularInferenceMethod | protected |
| m_Kernel_P | CKLLowerTriangularInferenceMethod | protected |
| m_ktrtr | CInferenceMethod | protected |
| m_L | CInferenceMethod | protected |
| m_labels | CInferenceMethod | protected |
| m_linesearch | CKLInferenceMethod | protected |
| m_log_det_Kernel | CKLLowerTriangularInferenceMethod | protected |
| m_log_scale | CInferenceMethod | protected |
| m_m | CKLInferenceMethod | protected |
| m_max_attempt | CKLInferenceMethod | protected |
| m_max_iterations | CKLInferenceMethod | protected |
| m_max_linesearch | CKLInferenceMethod | protected |
| m_max_step | CKLInferenceMethod | protected |
| m_mean | CInferenceMethod | protected |
| m_mean_vec | CKLLowerTriangularInferenceMethod | protected |
| m_min_coeff_kernel | CKLInferenceMethod | protected |
| m_min_step | CKLInferenceMethod | protected |
| m_model | CInferenceMethod | protected |
| m_model_selection_parameters | CSGObject | |
| m_mu | CKLInferenceMethod | protected |
| m_noise_factor | CKLInferenceMethod | protected |
| m_orthantwise_c | CKLInferenceMethod | protected |
| m_orthantwise_end | CKLInferenceMethod | protected |
| m_orthantwise_start | CKLInferenceMethod | protected |
| m_parameters | CSGObject | |
| m_past | CKLInferenceMethod | protected |
| m_s2 | CKLInferenceMethod | protected |
| m_Sigma | CKLInferenceMethod | protected |
| m_wolfe | CKLInferenceMethod | protected |
| m_xtol | CKLInferenceMethod | protected |
| 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_exp_factor(float64_t exp_factor) | CKLInferenceMethod | virtual |
| 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_kernel(CKernel *kern) | CInferenceMethod | virtual |
| set_labels(CLabels *lab) | CInferenceMethod | virtual |
| set_lbfgs_parameters(int m=100, int max_linesearch=1000, int linesearch=LBFGS_LINESEARCH_BACKTRACKING_STRONG_WOLFE, int max_iterations=1000, float64_t delta=0.0, int past=0, float64_t epsilon=1e-5, float64_t min_step=1e-20, float64_t max_step=1e+20, float64_t ftol=1e-4, float64_t wolfe=0.9, float64_t gtol=0.9, float64_t xtol=1e-16, float64_t orthantwise_c=0.0, int orthantwise_start=0, int orthantwise_end=1) | CKLInferenceMethod | virtual |
| set_max_attempt(index_t max_attempt) | CKLInferenceMethod | virtual |
| set_mean(CMeanFunction *m) | CInferenceMethod | virtual |
| set_min_coeff_kernel(float64_t min_coeff_kernel) | CKLInferenceMethod | virtual |
| set_model(CLikelihoodModel *mod) | CKLInferenceMethod | virtual |
| set_noise_factor(float64_t noise_factor) | CKLInferenceMethod | virtual |
| set_scale(float64_t scale) | CInferenceMethod | virtual |
| shallow_copy() const | CSGObject | virtual |
| solve_inverse(Eigen::MatrixXd A) | CKLLowerTriangularInferenceMethod | protected |
| supports_binary() const | CKLInferenceMethod | virtual |
| supports_multiclass() const | CInferenceMethod | virtual |
| supports_regression() const | CKLInferenceMethod | virtual |
| unset_generic() | CSGObject | |
| update() | CKLInferenceMethod | virtual |
| update_alpha()=0 | CInferenceMethod | protectedpure virtual |
| update_approx_cov() | CKLLowerTriangularInferenceMethod | protectedvirtual |
| update_chol() | CKLLowerTriangularInferenceMethod | protectedvirtual |
| update_deriv() | CKLLowerTriangularInferenceMethod | protectedvirtual |
| update_init() | CKLLowerTriangularInferenceMethod | protectedvirtual |
| update_init_helper() | CKLInferenceMethod | protectedvirtual |
| update_InvK_Sigma()=0 | CKLLowerTriangularInferenceMethod | protectedpure virtual |
| update_parameter_hash() | CSGObject | virtual |
| update_Sigma()=0 | CKLLowerTriangularInferenceMethod | protectedpure virtual |
| update_train_kernel() | CInferenceMethod | protectedvirtual |
| version | CSGObject | |
| ~CDifferentiableFunction() | CDifferentiableFunction | virtual |
| ~CInferenceMethod() | CInferenceMethod | virtual |
| ~CKLInferenceMethod() | CKLInferenceMethod | virtual |
| ~CKLLowerTriangularInferenceMethod() | CKLLowerTriangularInferenceMethod | virtual |
| ~CSGObject() | CSGObject | virtual |
