, 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] |