| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| CDifferentiableFunction() | CDifferentiableFunction | |
| check_members() const | CInferenceMethod | protectedvirtual |
| CInferenceMethod() | CInferenceMethod | |
| CInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CInferenceMethod | |
| clone() | CSGObject | virtual |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| deep_copy() const | CSGObject | virtual |
| equals(CSGObject *other, float64_t accuracy=0.0) | CSGObject | virtual |
| get_alpha()=0 | CInferenceMethod | pure virtual |
| get_cholesky()=0 | CInferenceMethod | pure virtual |
| get_derivative_helper(void *p) | CInferenceMethod | protectedstatic |
| get_derivative_wrt_inference_method(const TParameter *param)=0 | CInferenceMethod | protectedpure virtual |
| get_derivative_wrt_kernel(const TParameter *param)=0 | CInferenceMethod | protectedpure virtual |
| get_derivative_wrt_likelihood_model(const TParameter *param)=0 | CInferenceMethod | protectedpure virtual |
| get_derivative_wrt_mean(const TParameter *param)=0 | CInferenceMethod | protectedpure virtual |
| get_diagonal_vector()=0 | CInferenceMethod | pure 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_inference_type() const | CInferenceMethod | 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_name() const =0 | CSGObject | pure virtual |
| get_negative_log_marginal_likelihood()=0 | CInferenceMethod | pure virtual |
| get_negative_log_marginal_likelihood_derivatives(CMap< TParameter *, CSGObject * > *parameters) | CInferenceMethod | virtual |
| get_posterior_covariance()=0 | CInferenceMethod | pure virtual |
| get_posterior_mean()=0 | CInferenceMethod | pure virtual |
| get_scale() const | CInferenceMethod | virtual |
| get_value() | CInferenceMethod | virtual |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| load_all_file_parameters(int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="") | CSGObject | |
| load_file_parameters(const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="") | CSGObject | |
| load_serializable(CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_alpha | CInferenceMethod | protected |
| m_features | CInferenceMethod | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_kernel | CInferenceMethod | protected |
| m_ktrtr | CInferenceMethod | protected |
| m_L | CInferenceMethod | protected |
| m_labels | CInferenceMethod | protected |
| m_mean | CInferenceMethod | protected |
| m_model | CInferenceMethod | protected |
| m_model_selection_parameters | CSGObject | |
| m_parameter_map | CSGObject | |
| m_parameters | CSGObject | |
| m_scale | CInferenceMethod | protected |
| map_parameters(DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos) | CSGObject | |
| migrate(DynArray< TParameter * > *param_base, const SGParamInfo *target) | CSGObject | protectedvirtual |
| one_to_one_migration_prepare(DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL) | CSGObject | protectedvirtual |
| parallel | CSGObject | |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| save_serializable(CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter()) | CSGObject | virtual |
| save_serializable_post() | CSGObject | protectedvirtual |
| save_serializable_pre() | CSGObject | protectedvirtual |
| set_features(CFeatures *feat) | CInferenceMethod | virtual |
| 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_mean(CMeanFunction *m) | CInferenceMethod | virtual |
| set_model(CLikelihoodModel *mod) | CInferenceMethod | virtual |
| set_scale(float64_t scale) | CInferenceMethod | virtual |
| shallow_copy() const | CSGObject | virtual |
| supports_binary() const | CInferenceMethod | virtual |
| supports_multiclass() const | CInferenceMethod | virtual |
| supports_regression() const | CInferenceMethod | virtual |
| unset_generic() | CSGObject | |
| update() | CInferenceMethod | virtual |
| update_alpha()=0 | CInferenceMethod | protectedpure virtual |
| update_chol()=0 | CInferenceMethod | protectedpure virtual |
| update_deriv()=0 | CInferenceMethod | protectedpure virtual |
| update_parameter_hash() | CSGObject | virtual |
| update_train_kernel() | CInferenceMethod | protectedvirtual |
| version | CSGObject | |
| ~CDifferentiableFunction() | CDifferentiableFunction | virtual |
| ~CInferenceMethod() | CInferenceMethod | virtual |
| ~CSGObject() | CSGObject | virtual |
