, including all inherited members.
| CDistribution() | CDistribution | |
| CGMM() | CGMM | |
| CGMM(int32_t n, ECovType cov_type=FULL) | CGMM | |
| CGMM(SGVector< CGaussian * > components, SGVector< float64_t > coefficients, bool copy=false) | CGMM | |
| cleanup() | CGMM | |
| cluster(SGVector< float64_t > point) | CGMM | |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| features | CDistribution | [protected] |
| get_coef() | CGMM | [virtual] |
| get_comp() | CGMM | [virtual] |
| 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) | CGMM | [virtual] |
| get_log_derivative(int32_t num_param, int32_t num_example) | CGMM | [virtual] |
| get_log_likelihood() | CDistribution | [virtual] |
| get_log_likelihood_example(int32_t num_example) | CGMM | [virtual] |
| get_log_likelihood_sample() | CDistribution | [virtual] |
| get_log_model_parameter(int32_t num_param) | CGMM | [virtual] |
| 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 | CGMM | [virtual] |
| get_nth_cov(int32_t num) | CGMM | [virtual] |
| get_nth_mean(int32_t num) | CGMM | [virtual] |
| get_num_model_parameters() | CGMM | [virtual] |
| get_num_relevant_model_parameters() | CDistribution | [virtual] |
| get_pseudo_count() | CDistribution | [virtual] |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | [virtual] |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
| load_serializable_post() | CSGObject | [protected, virtual] |
| load_serializable_pre() | CSGObject | [protected, virtual] |
| m_coefficients | CGMM | [protected] |
| m_components | CGMM | [protected] |
| m_model_selection_parameters | CSGObject | |
| m_parameters | CSGObject | |
| max_likelihood(SGMatrix< float64_t > alpha, float64_t min_cov) | CGMM | |
| parallel | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | [virtual] |
| pseudo_count | CDistribution | [protected] |
| sample() | CGMM | |
| save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | [virtual] |
| save_serializable_post() | CSGObject | [protected, virtual] |
| save_serializable_pre() | CSGObject | [protected, virtual] |
| set_coef(SGVector< float64_t > coefficients) | CGMM | [virtual] |
| set_comp(SGVector< CGaussian * > components) | CGMM | [virtual] |
| set_features(CFeatures *f) | CDistribution | [virtual] |
| set_generic() | CSGObject | |
| set_global_io(SGIO *io) | CSGObject | |
| set_global_parallel(Parallel *parallel) | CSGObject | |
| set_global_version(Version *version) | CSGObject | |
| set_nth_cov(SGMatrix< float64_t > cov, int32_t num) | CGMM | [virtual] |
| set_nth_mean(SGVector< float64_t > mean, int32_t num) | CGMM | [virtual] |
| set_pseudo_count(float64_t pseudo) | CDistribution | [virtual] |
| train(CFeatures *data=NULL) | CGMM | [virtual] |
| train_em(float64_t min_cov=1e-9, int32_t max_iter=1000, float64_t min_change=1e-9) | CGMM | |
| train_smem(int32_t max_iter=100, int32_t max_cand=5, float64_t min_cov=1e-9, int32_t max_em_iter=1000, float64_t min_change=1e-9) | CGMM | |
| unset_generic() | CSGObject | |
| version | CSGObject | |
| ~CDistribution() | CDistribution | [virtual] |
| ~CGMM() | CGMM | [virtual] |
| ~CSGObject() | CSGObject | [virtual] |
