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 | CSparseInferenceBase | protectedvirtual |
CInferenceMethod() | CInferenceMethod | |
CInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CInferenceMethod | |
clone() | CSGObject | virtual |
compute_gradient() | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
compute_mvmK(SGVector< float64_t > al) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
compute_mvmZ(SGVector< float64_t > x) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
convert_features() | CSparseInferenceBase | protectedvirtual |
CSGObject() | CSGObject | |
CSGObject(const CSGObject &orig) | CSGObject | |
CSingleFITCLaplacianBase() | CSingleFITCLaplacianBase | |
CSingleFITCLaplacianBase(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSingleFITCLaplacianBase | |
CSingleFITCLaplacianInferenceMethod() | CSingleFITCLaplacianInferenceMethod | |
CSingleFITCLaplacianInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSingleFITCLaplacianInferenceMethod | |
CSingleFITCLaplacianInferenceMethodWithLBFGS() | CSingleFITCLaplacianInferenceMethodWithLBFGS | |
CSingleFITCLaplacianInferenceMethodWithLBFGS(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model, CFeatures *inducing_features) | CSingleFITCLaplacianInferenceMethodWithLBFGS | |
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 | |
deep_copy() const | CSGObject | virtual |
derivative_helper_when_Wneg(SGVector< float64_t > res, const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
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_chol_inv(SGMatrix< float64_t > mtx) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_cholesky() | CSparseInferenceBase | virtual |
get_derivative_helper(void *p) | CInferenceMethod | protectedstatic |
get_derivative_implicit_term_helper(SGVector< float64_t > d) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_related_cov(SGVector< float64_t > ddiagKi, SGMatrix< float64_t > dKuui, SGMatrix< float64_t > dKui) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
shogun::CSingleFITCLaplacianBase::get_derivative_related_cov(SGVector< float64_t > ddiagKi, SGMatrix< float64_t > dKuui, SGMatrix< float64_t > dKui, SGVector< float64_t > v, SGMatrix< float64_t > R) | CSingleFITCLaplacianBase | protectedvirtual |
get_derivative_related_cov_diagonal() | CSingleFITCLaplacianBase | protectedvirtual |
get_derivative_related_cov_helper(SGMatrix< float64_t > dKuui, SGVector< float64_t > v, SGMatrix< float64_t > R) | CSingleFITCLaplacianBase | protectedvirtual |
get_derivative_related_inducing_features(SGMatrix< float64_t > BdK, const TParameter *param) | CSingleFITCLaplacianBase | protectedvirtual |
get_derivative_related_mean(SGVector< float64_t > dmu) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_wrt_inducing_features(const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_wrt_inducing_noise(const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_wrt_inference_method(const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_wrt_kernel(const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_wrt_likelihood_model(const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_derivative_wrt_mean(const TParameter *param) | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
get_diagonal_vector() | CSingleFITCLaplacianInferenceMethod | 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 | CSingleFITCLaplacianInferenceMethod | 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_minimization_max() | CSingleFITCLaplacianInferenceMethod | virtual |
get_minimization_tolerance() | CSingleFITCLaplacianInferenceMethod | 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 | CSingleFITCLaplacianInferenceMethodWithLBFGS | virtual |
get_negative_log_marginal_likelihood() | CSingleFITCLaplacianInferenceMethod | virtual |
get_negative_log_marginal_likelihood_derivatives(CMap< TParameter *, CSGObject * > *parameters) | CInferenceMethod | virtual |
get_newton_iterations() | CSingleFITCLaplacianInferenceMethod | virtual |
get_newton_tolerance() | CSingleFITCLaplacianInferenceMethod | virtual |
get_posterior_covariance() | CSingleFITCLaplacianInferenceMethod | virtual |
get_posterior_mean() | CSingleFITCLaplacianInferenceMethod | 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_al | CSingleFITCLaplacianBase | protected |
m_alpha | CInferenceMethod | protected |
m_B | CSingleFITCLaplacianBase | protected |
m_chol_R0 | CSingleFITCLaplacianInferenceMethod | protected |
m_d2lp | CSingleFITCLaplacianInferenceMethod | protected |
m_d3lp | CSingleFITCLaplacianInferenceMethod | protected |
m_dfhat | CSingleFITCLaplacianInferenceMethod | protected |
m_dg | CSingleFITCLaplacianInferenceMethod | protected |
m_dlp | CSingleFITCLaplacianInferenceMethod | protected |
m_E | CInferenceMethod | protected |
m_features | CInferenceMethod | protected |
m_fully_sparse | CSingleSparseInferenceBase | protected |
m_g | CSingleFITCLaplacianInferenceMethod | protected |
m_gradient_parameters | CSGObject | |
m_gradient_update | CInferenceMethod | protected |
m_hash | CSGObject | |
m_ind_tolerance | CSingleSparseInferenceBase | protected |
m_inducing_features | CSparseInferenceBase | protected |
m_iter | CSingleFITCLaplacianInferenceMethod | protected |
m_kernel | CInferenceMethod | 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_opt_max | CSingleFITCLaplacianInferenceMethod | protected |
m_opt_tolerance | CSingleFITCLaplacianInferenceMethod | protected |
m_parameters | CSGObject | |
m_Psi | CSingleFITCLaplacianInferenceMethod | protected |
m_Rvdd | CSingleFITCLaplacianBase | protected |
m_Sigma | CSparseInferenceBase | protected |
m_sW | CSingleFITCLaplacianInferenceMethod | protected |
m_t | CSingleFITCLaplacianBase | protected |
m_tolerance | CSingleFITCLaplacianInferenceMethod | protected |
m_upper_bound | CSingleSparseInferenceBase | protected |
m_V | CSingleFITCLaplacianBase | protected |
m_W | CSingleFITCLaplacianInferenceMethod | protected |
m_w | CSingleFITCLaplacianBase | protected |
m_Wneg | CSingleFITCLaplacianInferenceMethod | protected |
obtain_from_generic(CInferenceMethod *inference) | CSingleFITCLaplacianInferenceMethod | 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_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) | CSingleFITCLaplacianInferenceMethodWithLBFGS | 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_minimization_max(float64_t max) | CSingleFITCLaplacianInferenceMethod | virtual |
set_minimization_tolerance(float64_t tol) | CSingleFITCLaplacianInferenceMethod | virtual |
set_model(CLikelihoodModel *mod) | CInferenceMethod | virtual |
set_newton_iterations(int32_t iter) | CSingleFITCLaplacianInferenceMethod | virtual |
set_newton_method(bool enable_newton_if_fail) | CSingleFITCLaplacianInferenceMethodWithLBFGS | virtual |
set_newton_tolerance(float64_t tol) | CSingleFITCLaplacianInferenceMethod | 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 | CSingleFITCLaplacianInferenceMethod | virtual |
supports_multiclass() const | CInferenceMethod | virtual |
supports_regression() const | CSingleFITCLaplacianInferenceMethod | virtual |
unset_generic() | CSGObject | |
update() | CSingleFITCLaplacianInferenceMethod | virtual |
update_alpha() | CSingleFITCLaplacianInferenceMethodWithLBFGS | protectedvirtual |
update_approx_cov() | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
update_chol() | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
update_deriv() | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
update_init() | CSingleFITCLaplacianInferenceMethod | protectedvirtual |
update_parameter_hash() | CSGObject | virtual |
update_train_kernel() | CSparseInferenceBase | protectedvirtual |
version | CSGObject | |
~CDifferentiableFunction() | CDifferentiableFunction | virtual |
~CInferenceMethod() | CInferenceMethod | virtual |
~CSGObject() | CSGObject | virtual |
~CSingleFITCLaplacianBase() | CSingleFITCLaplacianBase | virtual |
~CSingleFITCLaplacianInferenceMethod() | CSingleFITCLaplacianInferenceMethod | virtual |
~CSingleFITCLaplacianInferenceMethodWithLBFGS() | CSingleFITCLaplacianInferenceMethodWithLBFGS | virtual |
~CSingleSparseInferenceBase() | CSingleSparseInferenceBase | virtual |
~CSparseInferenceBase() | CSparseInferenceBase | virtual |