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CNumericalVGLikelihood Member List

This is the complete list of members for CNumericalVGLikelihood, including all inherited members.

build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict)CSGObject
CLikelihoodModel()CLikelihoodModel
clone()CSGObjectvirtual
CNumericalVGLikelihood()CNumericalVGLikelihood
CSGObject()CSGObject
CSGObject(const CSGObject &orig)CSGObject
CVariationalGaussianLikelihood()CVariationalGaussianLikelihood
CVariationalLikelihood()CVariationalLikelihood
deep_copy() const CSGObjectvirtual
equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)CSGObjectvirtual
get_first_derivative(const CLabels *lab, SGVector< float64_t > func, const TParameter *param) const CVariationalLikelihoodvirtual
get_first_derivative_wrt_hyperparameter(const TParameter *param) const CNumericalVGLikelihoodvirtual
get_first_moment(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab, index_t i) const CVariationalLikelihoodvirtual
get_first_moments(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab) const CLikelihoodModelvirtual
get_global_io()CSGObject
get_global_parallel()CSGObject
get_global_version()CSGObject
get_log_probability_derivative_f(const CLabels *lab, SGVector< float64_t > func, index_t i) const CVariationalLikelihoodvirtual
get_log_probability_f(const CLabels *lab, SGVector< float64_t > func) const CVariationalLikelihoodvirtual
get_log_probability_fmatrix(const CLabels *lab, SGMatrix< float64_t > F) const CLikelihoodModelvirtual
get_log_zeroth_moments(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab) const CVariationalLikelihoodvirtual
get_model_type() const CVariationalLikelihoodvirtual
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 CNumericalVGLikelihoodvirtual
get_predictive_log_probabilities(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab=NULL)CLikelihoodModelvirtual
get_predictive_means(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab=NULL) const CVariationalLikelihoodvirtual
get_predictive_variances(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab=NULL) const CVariationalLikelihoodvirtual
get_second_derivative(const CLabels *lab, SGVector< float64_t > func, const TParameter *param) const CVariationalLikelihoodvirtual
get_second_moment(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab, index_t i) const CVariationalLikelihoodvirtual
get_second_moments(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab) const CLikelihoodModelvirtual
get_third_derivative(const CLabels *lab, SGVector< float64_t > func, const TParameter *param) const CVariationalLikelihoodvirtual
get_variational_expection()CNumericalVGLikelihoodvirtual
get_variational_first_derivative(const TParameter *param) const CNumericalVGLikelihoodvirtual
init_likelihood()=0CNumericalVGLikelihoodprotectedpure virtual
ioCSGObject
is_generic(EPrimitiveType *generic) const CSGObjectvirtual
load_all_file_parameters(int32_t file_version, int32_t current_version, CSerializableFile *file, const char *prefix="")CSGObject
load_file_parameters(const SGParamInfo *param_info, int32_t file_version, CSerializableFile *file, const char *prefix="")CSGObject
load_serializable(CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter())CSGObjectvirtual
load_serializable_post()CSGObjectprotectedvirtual
load_serializable_pre()CSGObjectprotectedvirtual
m_gradient_parametersCSGObject
m_hashCSGObject
m_labCVariationalLikelihoodprotected
m_likelihoodCVariationalLikelihoodprotected
m_model_selection_parametersCSGObject
m_muCVariationalGaussianLikelihoodprotected
m_parameter_mapCSGObject
m_parametersCSGObject
m_s2CVariationalGaussianLikelihoodprotected
map_parameters(DynArray< TParameter * > *param_base, int32_t &base_version, DynArray< const SGParamInfo * > *target_param_infos)CSGObject
migrate(DynArray< TParameter * > *param_base, const SGParamInfo *target)CSGObjectprotectedvirtual
one_to_one_migration_prepare(DynArray< TParameter * > *param_base, const SGParamInfo *target, TParameter *&replacement, TParameter *&to_migrate, char *old_name=NULL)CSGObjectprotectedvirtual
parallelCSGObject
parameter_hash_changed()CSGObjectvirtual
print_modsel_params()CSGObject
print_serializable(const char *prefix="")CSGObjectvirtual
save_serializable(CSerializableFile *file, const char *prefix="", int32_t param_version=Version::get_version_parameter())CSGObjectvirtual
save_serializable_post()CSGObjectprotectedvirtual
save_serializable_pre()CSGObjectprotectedvirtual
set_generic()CSGObject
set_GHQ_number(index_t n)CNumericalVGLikelihoodvirtual
set_global_io(SGIO *io)CSGObject
set_global_parallel(Parallel *parallel)CSGObject
set_global_version(Version *version)CSGObject
set_likelihood(CLikelihoodModel *lik)CVariationalLikelihoodprotectedvirtual
set_noise_factor(float64_t noise_factor)CVariationalGaussianLikelihoodvirtual
set_variational_distribution(SGVector< float64_t > mu, SGVector< float64_t > s2, const CLabels *lab)CNumericalVGLikelihoodvirtual
SGRefObject()SGRefObject
SGRefObject(const SGRefObject &orig)SGRefObject
shallow_copy() const CSGObjectvirtual
supports_binary() const CVariationalLikelihoodvirtual
supports_derivative_wrt_hyperparameter() const =0CVariationalLikelihoodpure virtual
supports_multiclass() const CVariationalLikelihoodvirtual
supports_regression() const CVariationalLikelihoodvirtual
unset_generic()CSGObject
update_parameter_hash()CSGObjectvirtual
versionCSGObject
~CLikelihoodModel()CLikelihoodModelvirtual
~CNumericalVGLikelihood()CNumericalVGLikelihoodvirtual
~CSGObject()CSGObjectvirtual
~CVariationalGaussianLikelihood()CVariationalGaussianLikelihoodvirtual
~CVariationalLikelihood()CVariationalLikelihoodvirtual
~SGRefObject()SGRefObjectvirtual

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