| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| CDistribution() | CDistribution | |
| clone() | CSGObject | virtual |
| cluster(SGVector< float64_t > point) | CMixtureModel | |
| CMixtureModel() | CMixtureModel | |
| CMixtureModel(CDynamicObjectArray *components, SGVector< float64_t > weights) | CMixtureModel | |
| 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 |
| features | CDistribution | protected |
| get(const Tag< T > &_tag) const | CSGObject | |
| get(const std::string &name) const | CSGObject | |
| get_component(index_t index) const | CMixtureModel | |
| get_components() const | CMixtureModel | |
| get_convergence_tolerance() const | CMixtureModel | |
| get_derivative(int32_t num_param, int32_t num_example) | CDistribution | virtual |
| get_features() | CDistribution | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_likelihood_example(int32_t num_example) | CDistribution | virtual |
| get_likelihood_for_all_examples() | CDistribution | virtual |
| get_log_derivative(int32_t num_param, int32_t num_example) | CMixtureModel | virtual |
| get_log_likelihood() | CDistribution | virtual |
| get_log_likelihood_example(int32_t num_example) | CMixtureModel | virtual |
| get_log_likelihood_sample() | CDistribution | virtual |
| get_log_model_parameter(int32_t num_param=1) | CMixtureModel | virtual |
| get_max_iters() const | CMixtureModel | |
| get_model_parameter(int32_t num_param) | CDistribution | virtual |
| 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 | CMixtureModel | virtual |
| get_num_components() const | CMixtureModel | |
| get_num_model_parameters() | CMixtureModel | virtual |
| get_num_relevant_model_parameters() | CDistribution | virtual |
| get_pseudo_count() | CDistribution | virtual |
| get_weights() const | CMixtureModel | |
| 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_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_model_selection_parameters | CSGObject | |
| m_parameters | CSGObject | |
| obtain_from_generic(CSGObject *object) | CDistribution | static |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| pseudo_count | CDistribution | protected |
| register_param(Tag< T > &_tag, const T &value) | CSGObject | protected |
| register_param(const std::string &name, const T &value) | CSGObject | protected |
| sample() | CMixtureModel | |
| 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_components(CDynamicObjectArray *components) | CMixtureModel | |
| set_convergence_tolerance(float64_t epsilon) | CMixtureModel | |
| set_features(CFeatures *f) | CDistribution | 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_max_iters(int32_t max_iters) | CMixtureModel | |
| set_pseudo_count(float64_t pseudo) | CDistribution | virtual |
| set_weights(SGVector< float64_t > weights) | CMixtureModel | |
| shallow_copy() const | CSGObject | virtual |
| train(CFeatures *data=NULL) | CMixtureModel | virtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| update_params_em(float64_t *alpha_k, int32_t len) | CDistribution | virtual |
| version | CSGObject | |
| ~CDistribution() | CDistribution | virtual |
| ~CMixtureModel() | CMixtureModel | |
| ~CSGObject() | CSGObject | virtual |
