get_rejection_params_class_mlpT_get_rejection_params_class_mlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpget_rejection_params_class_mlp (Operator)
Name
get_rejection_params_class_mlpT_get_rejection_params_class_mlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpget_rejection_params_class_mlp — Auslesen der Parameter der Rückweisungsklasse eines mehrschichtigen
Perzeptrons.
Signatur
def get_rejection_params_class_mlp(mlphandle: HHandle, gen_param_name: MaybeSequence[str]) -> Sequence[Union[str, float, int]]
def get_rejection_params_class_mlp_s(mlphandle: HHandle, gen_param_name: MaybeSequence[str]) -> Union[str, float, int]
Beschreibung
get_rejection_params_class_mlpget_rejection_params_class_mlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpget_rejection_params_class_mlp gibt die Parameter der
Rückweisungsklasse eines mehrschichtigen Perzeptrons (MLP), die mit
set_rejection_params_class_mlpset_rejection_params_class_mlpSetRejectionParamsClassMlpSetRejectionParamsClassMlpSetRejectionParamsClassMlpset_rejection_params_class_mlp spezifiziert wurden, zurück.
Zur Beschreibung der Parameter siehe
set_rejection_params_class_mlpset_rejection_params_class_mlpSetRejectionParamsClassMlpSetRejectionParamsClassMlpSetRejectionParamsClassMlpset_rejection_params_class_mlp.
Ausführungsinformationen
- Multithreading-Typ: reentrant (läuft parallel zu nicht-exklusiven Operatoren).
- Multithreading-Bereich: global (kann von jedem Thread aufgerufen werden).
- Wird ohne Parallelisierung verarbeitet.
Parameter
MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control) class_mlp → HClassMlp, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
MLP handle.
GenParamNameGenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) string(-array) → HTupleMaybeSequence[str]HTupleHtuple (string) (string) (HString) (char*)
Names of the generic parameters to return.
Defaultwert:
'sampling_strategy'
"sampling_strategy"
"sampling_strategy"
"sampling_strategy"
"sampling_strategy"
"sampling_strategy"
Werteliste: 'hyperbox_tolerance'"hyperbox_tolerance""hyperbox_tolerance""hyperbox_tolerance""hyperbox_tolerance""hyperbox_tolerance", 'random_seed'"random_seed""random_seed""random_seed""random_seed""random_seed", 'rejection_class_index'"rejection_class_index""rejection_class_index""rejection_class_index""rejection_class_index""rejection_class_index", 'rejection_sample_factor'"rejection_sample_factor""rejection_sample_factor""rejection_sample_factor""rejection_sample_factor""rejection_sample_factor", 'sampling_strategy'"sampling_strategy""sampling_strategy""sampling_strategy""sampling_strategy""sampling_strategy"
GenParamValueGenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (output_control) string(-array) → HTupleSequence[Union[str, float, int]]HTupleHtuple (string / real / integer) (string / double / int / long) (HString / double / Hlong) (char* / double / Hlong)
Values of the generic parameters.
Ergebnis
Sind die Parameterwerte korrekt, dann liefert
get_rejection_params_class_mlpget_rejection_params_class_mlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpGetRejectionParamsClassMlpget_rejection_params_class_mlp den Wert TRUE.
Gegebenenfalls wird eine Fehlerbehandlung durchgeführt.
Vorgänger
create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpCreateClassMlpcreate_class_mlp
Nachfolger
train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlpTrainClassMlptrain_class_mlp
Modul
Foundation