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 | |
CKLCholeskyInferenceMethod() | CKLCholeskyInferenceMethod | |
CKLCholeskyInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model) | CKLCholeskyInferenceMethod | |
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_alpha() | CKLCholeskyInferenceMethod | 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) | CKLCholeskyInferenceMethod | protectedvirtual |
get_inference_type() const | CKLCholeskyInferenceMethod | 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 | CKLCholeskyInferenceMethod | 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() | CKLCholeskyInferenceMethod | protectedvirtual |
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() | CKLCholeskyInferenceMethod | protectedvirtual |
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 |
obtain_from_generic(CInferenceMethod *inference) | CKLCholeskyInferenceMethod | static |
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() | CKLCholeskyInferenceMethod | protectedvirtual |
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() | CKLCholeskyInferenceMethod | protectedvirtual |
update_parameter_hash() | CSGObject | virtual |
update_Sigma() | CKLCholeskyInferenceMethod | protectedvirtual |
update_train_kernel() | CInferenceMethod | protectedvirtual |
version | CSGObject | |
~CDifferentiableFunction() | CDifferentiableFunction | virtual |
~CInferenceMethod() | CInferenceMethod | virtual |
~CKLCholeskyInferenceMethod() | CKLCholeskyInferenceMethod | virtual |
~CKLInferenceMethod() | CKLInferenceMethod | virtual |
~CKLLowerTriangularInferenceMethod() | CKLLowerTriangularInferenceMethod | virtual |
~CSGObject() | CSGObject | virtual |