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CInferenceMethod Member List

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

build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict)CSGObject
CDifferentiableFunction()CDifferentiableFunction
check_members() const CInferenceMethodprotectedvirtual
CInferenceMethod()CInferenceMethod
CInferenceMethod(CKernel *kernel, CFeatures *features, CMeanFunction *mean, CLabels *labels, CLikelihoodModel *model)CInferenceMethod
clone()CSGObjectvirtual
CSGObject()CSGObject
CSGObject(const CSGObject &orig)CSGObject
deep_copy() const CSGObjectvirtual
equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)CSGObjectvirtual
get_alpha()=0CInferenceMethodpure virtual
get_cholesky()=0CInferenceMethodpure virtual
get_derivative_helper(void *p)CInferenceMethodprotectedstatic
get_derivative_wrt_inference_method(const TParameter *param)=0CInferenceMethodprotectedpure virtual
get_derivative_wrt_kernel(const TParameter *param)=0CInferenceMethodprotectedpure virtual
get_derivative_wrt_likelihood_model(const TParameter *param)=0CInferenceMethodprotectedpure virtual
get_derivative_wrt_mean(const TParameter *param)=0CInferenceMethodprotectedpure virtual
get_diagonal_vector()=0CInferenceMethodpure virtual
get_features()CInferenceMethodvirtual
get_global_io()CSGObject
get_global_parallel()CSGObject
get_global_version()CSGObject
get_gradient(CMap< TParameter *, CSGObject * > *parameters)CInferenceMethodvirtual
get_inference_type() const CInferenceMethodvirtual
get_kernel()CInferenceMethodvirtual
get_labels()CInferenceMethodvirtual
get_marginal_likelihood_estimate(int32_t num_importance_samples=1, float64_t ridge_size=1e-15)CInferenceMethod
get_mean()CInferenceMethodvirtual
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_name() const =0CSGObjectpure virtual
get_negative_log_marginal_likelihood()=0CInferenceMethodpure virtual
get_negative_log_marginal_likelihood_derivatives(CMap< TParameter *, CSGObject * > *parameters)CInferenceMethodvirtual
get_posterior_covariance()=0CInferenceMethodpure virtual
get_posterior_mean()=0CInferenceMethodpure virtual
get_scale() const CInferenceMethodvirtual
get_value()CInferenceMethodvirtual
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_alphaCInferenceMethodprotected
m_featuresCInferenceMethodprotected
m_gradient_parametersCSGObject
m_hashCSGObject
m_kernelCInferenceMethodprotected
m_ktrtrCInferenceMethodprotected
m_LCInferenceMethodprotected
m_labelsCInferenceMethodprotected
m_meanCInferenceMethodprotected
m_modelCInferenceMethodprotected
m_model_selection_parametersCSGObject
m_parameter_mapCSGObject
m_parametersCSGObject
m_scaleCInferenceMethodprotected
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_features(CFeatures *feat)CInferenceMethodvirtual
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)CInferenceMethodvirtual
set_labels(CLabels *lab)CInferenceMethodvirtual
set_mean(CMeanFunction *m)CInferenceMethodvirtual
set_model(CLikelihoodModel *mod)CInferenceMethodvirtual
set_scale(float64_t scale)CInferenceMethodvirtual
SGRefObject()SGRefObject
SGRefObject(const SGRefObject &orig)SGRefObject
shallow_copy() const CSGObjectvirtual
supports_binary() const CInferenceMethodvirtual
supports_multiclass() const CInferenceMethodvirtual
supports_regression() const CInferenceMethodvirtual
unset_generic()CSGObject
update()CInferenceMethodvirtual
update_alpha()=0CInferenceMethodprotectedpure virtual
update_chol()=0CInferenceMethodprotectedpure virtual
update_deriv()=0CInferenceMethodprotectedpure virtual
update_parameter_hash()CSGObjectvirtual
update_train_kernel()CInferenceMethodprotectedvirtual
versionCSGObject
~CDifferentiableFunction()CDifferentiableFunctionvirtual
~CInferenceMethod()CInferenceMethodvirtual
~CSGObject()CSGObjectvirtual
~SGRefObject()SGRefObjectvirtual

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