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CLibLinearRegression Member List

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

apply(CFeatures *data=NULL)CMachinevirtual
apply_binary(CFeatures *data=NULL)CLinearMachinevirtual
apply_get_outputs(CFeatures *data)CLinearMachineprotectedvirtual
apply_latent(CFeatures *data=NULL)CMachinevirtual
apply_locked(SGVector< index_t > indices)CMachinevirtual
apply_locked_binary(SGVector< index_t > indices)CMachinevirtual
apply_locked_latent(SGVector< index_t > indices)CMachinevirtual
apply_locked_multiclass(SGVector< index_t > indices)CMachinevirtual
apply_locked_regression(SGVector< index_t > indices)CMachinevirtual
apply_locked_structured(SGVector< index_t > indices)CMachinevirtual
apply_multiclass(CFeatures *data=NULL)CMachinevirtual
apply_one(int32_t vec_idx)CLinearMachinevirtual
apply_regression(CFeatures *data=NULL)CLinearMachinevirtual
apply_structured(CFeatures *data=NULL)CMachinevirtual
biasCLinearMachineprotected
build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict)CSGObject
CLibLinearRegression()CLibLinearRegression
CLibLinearRegression(float64_t C, CDotFeatures *features, CLabels *labs)CLibLinearRegression
CLinearMachine()CLinearMachine
CLinearMachine(CLinearMachine *machine)CLinearMachine
clone()CSGObjectvirtual
CMachine()CMachine
CSGObject()CSGObject
CSGObject(const CSGObject &orig)CSGObject
data_lock(CLabels *labs, CFeatures *features)CMachinevirtual
data_unlock()CMachinevirtual
deep_copy() const CSGObjectvirtual
equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false)CSGObjectvirtual
featuresCLinearMachineprotected
get_bias()CLinearMachinevirtual
get_C() const CLibLinearRegression
get_classifier_type()CMachinevirtual
get_epsilon() const CLibLinearRegression
get_features()CLinearMachinevirtual
get_global_io()CSGObject
get_global_parallel()CSGObject
get_global_version()CSGObject
get_labels()CMachinevirtual
get_liblinear_regression_type()CLibLinearRegression
get_machine_problem_type() const CMachinevirtual
get_max_iter() const CLibLinearRegression
get_max_train_time()CMachine
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 CLibLinearRegressionvirtual
get_solver_type()CMachine
get_tube_epsilon()CLibLinearRegression
get_use_bias() const CLibLinearRegression
get_w() const CLinearMachinevirtual
ioCSGObject
is_data_locked() const CMachine
is_generic(EPrimitiveType *generic) const CSGObjectvirtual
is_label_valid(CLabels *lab) const CMachineprotectedvirtual
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_CCLibLinearRegressionprotected
m_data_lockedCMachineprotected
m_epsilonCLibLinearRegressionprotected
m_gradient_parametersCSGObject
m_hashCSGObject
m_labelsCMachineprotected
m_liblinear_regression_typeCLibLinearRegressionprotected
m_max_iterCLibLinearRegressionprotected
m_max_train_timeCMachineprotected
m_model_selection_parametersCSGObject
m_parameter_mapCSGObject
m_parametersCSGObject
m_solver_typeCMachineprotected
m_store_model_featuresCMachineprotected
m_tube_epsilonCLibLinearRegressionprotected
m_use_biasCLibLinearRegressionprotected
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
post_lock(CLabels *labs, CFeatures *features)CMachinevirtual
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_bias(float64_t b)CLinearMachinevirtual
set_C(float64_t C)CLibLinearRegression
set_epsilon(float64_t epsilon)CLibLinearRegression
set_features(CDotFeatures *feat)CLinearMachinevirtual
set_generic()CSGObject
set_global_io(SGIO *io)CSGObject
set_global_parallel(Parallel *parallel)CSGObject
set_global_version(Version *version)CSGObject
set_labels(CLabels *lab)CMachinevirtual
set_liblinear_regression_type(LIBLINEAR_REGRESSION_TYPE st)CLibLinearRegression
set_max_iter(int32_t max_iter)CLibLinearRegression
set_max_train_time(float64_t t)CMachine
set_solver_type(ESolverType st)CMachine
set_store_model_features(bool store_model)CMachinevirtual
set_tube_epsilon(float64_t eps)CLibLinearRegression
set_use_bias(bool use_bias)CLibLinearRegression
set_w(const SGVector< float64_t > src_w)CLinearMachinevirtual
shallow_copy() const CSGObjectvirtual
store_model_features()CLinearMachineprotectedvirtual
supports_locking() const CMachinevirtual
train(CFeatures *data=NULL)CMachinevirtual
train_locked(SGVector< index_t > indices)CMachinevirtual
train_machine(CFeatures *data=NULL)CLibLinearRegressionprotectedvirtual
train_require_labels() const CMachineprotectedvirtual
unset_generic()CSGObject
update_parameter_hash()CSGObjectvirtual
versionCSGObject
wCLinearMachineprotected
~CLibLinearRegression()CLibLinearRegressionvirtual
~CLinearMachine()CLinearMachinevirtual
~CMachine()CMachinevirtual
~CSGObject()CSGObjectvirtual

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