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 |
compute_gradient() | CInferenceMethod | 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_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_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_multiclass_E() | CInferenceMethod | virtual |
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_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
load_serializable_post() | CSGObject | protectedvirtual |
load_serializable_pre() | CSGObject | protectedvirtual |
m_alpha | CInferenceMethod | protected |
m_E | CInferenceMethod | protected |
m_features | CInferenceMethod | protected |
m_gradient_parameters | CSGObject | |
m_gradient_update | CInferenceMethod | protected |
m_hash | CSGObject | |
m_kernel | CInferenceMethod | protected |
m_ktrtr | CInferenceMethod | protected |
m_L | CInferenceMethod | protected |
m_labels | CInferenceMethod | protected |
m_log_scale | CInferenceMethod | protected |
m_mean | CInferenceMethod | protected |
m_model | CInferenceMethod | protected |
m_model_selection_parameters | CSGObject | |
m_parameters | CSGObject | |
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_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 |