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get_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlpT_get_regularization_params_class_mlp🔗

Short description🔗

get_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlpT_get_regularization_params_class_mlp — Return the regularization parameters of a multilayer perceptron.

Signature🔗

get_regularization_params_class_mlp( class_mlp MLPHandle, string GenParamName, out number GenParamValue )void GetRegularizationParamsClassMlp( const HTuple& MLPHandle, const HTuple& GenParamName, HTuple* GenParamValue )static void HOperatorSet.GetRegularizationParamsClassMlp( HTuple MLPHandle, HTuple genParamName, out HTuple genParamValue )def get_regularization_params_class_mlp( mlphandle: HHandle, gen_param_name: str ) -> Sequence[Union[float, int]]

def get_regularization_params_class_mlp_s( mlphandle: HHandle, gen_param_name: str ) -> Union[float, int]Herror T_get_regularization_params_class_mlp( const Htuple MLPHandle, const Htuple GenParamName, Htuple* GenParamValue )

HTuple HClassMlp::GetRegularizationParamsClassMlp( const HString& GenParamName ) const

HTuple HClassMlp::GetRegularizationParamsClassMlp( const char* GenParamName ) const

HTuple HClassMlp::GetRegularizationParamsClassMlp( const wchar_t* GenParamName ) const (Windows only)

HTuple HClassMlp.GetRegularizationParamsClassMlp( string genParamName )

Description🔗

get_regularization_params_class_mlpGetRegularizationParamsClassMlp returns the regularization parameters of a multilayer perceptron (MLP) that were specified with set_regularization_params_class_mlpSetRegularizationParamsClassMlp. Furthermore, get_regularization_params_class_mlpGetRegularizationParamsClassMlp returns the parameters that were determined by an automatic determination of the regularization parameters. For a description of the parameters, see set_regularization_params_class_mlpSetRegularizationParamsClassMlp.

Execution information🔗

Execution information

  • Multithreading type: reentrant (runs in parallel with non-exclusive operators).

  • Multithreading scope: global (may be called from any thread).

  • Processed without parallelization.

Parameters🔗

MLPHandleMLPHandlemlphandle (input_control) class_mlp → (handle)HTuple (HHandle)HClassMlp, HTuple (IntPtr)HHandleHtuple (handle)

MLP handle.

GenParamNamegenParamNamegen_param_name (input_control) string → (string)HTuple (HString)HTuple (string)strHtuple (char*)

Name of the regularization parameter to return.

Default: 'weight_prior'"weight_prior"
List of values: 'fraction_well_determined_params', 'noise_prior', 'num_inner_iterations', 'num_outer_iterations', 'num_well_determined_params', 'weight_prior'"fraction_well_determined_params", "noise_prior", "num_inner_iterations", "num_outer_iterations", "num_well_determined_params", "weight_prior"

GenParamValuegenParamValuegen_param_value (output_control) number(-array) → (real / integer)HTuple (double / Hlong)HTuple (double / int / long)Sequence[Union[float, int]]Htuple (double / Hlong)

Value of the regularization parameter.

Result🔗

If the parameters are valid, the operator get_regularization_params_class_mlpGetRegularizationParamsClassMlp returns the value 2 (H_MSG_TRUE). If necessary, an exception is raised.

Combinations with other operators🔗

Combinations

Possible predecessors

set_regularization_params_class_mlpSetRegularizationParamsClassMlp, read_class_mlpReadClassMlp

Possible successors

train_class_mlpTrainClassMlp

Module🔗

Foundation