| 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 |  | 
  | 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)=0 | CKLInferenceMethod | protectedpure virtual | 
  | 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_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  | CKLInferenceMethod | 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_kernel | CInferenceMethod | protected | 
  | m_ktrtr | CInferenceMethod | protected | 
  | m_L | CInferenceMethod | protected | 
  | m_labels | CInferenceMethod | protected | 
  | m_linesearch | CKLInferenceMethod | 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_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 | 
  | 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()=0 | CKLInferenceMethod | protectedpure virtual | 
  | update_chol()=0 | CInferenceMethod | protectedpure virtual | 
  | update_deriv()=0 | CInferenceMethod | protectedpure virtual | 
  | update_init() | CKLInferenceMethod | protectedvirtual | 
  | update_init_helper() | CKLInferenceMethod | protectedvirtual | 
  | update_parameter_hash() | CSGObject | virtual | 
  | update_train_kernel() | CInferenceMethod | protectedvirtual | 
  | version | CSGObject |  | 
  | ~CDifferentiableFunction() | CDifferentiableFunction | virtual | 
  | ~CInferenceMethod() | CInferenceMethod | virtual | 
  | ~CKLInferenceMethod() | CKLInferenceMethod | virtual | 
  | ~CSGObject() | CSGObject | virtual |