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 |