get_regularization_params_class_mlpT_get_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlp (Operator)
Name
get_regularization_params_class_mlpT_get_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlp — Return the regularization parameters of a multilayer perceptron.
Signature
Description
get_regularization_params_class_mlpget_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlp returns the
regularization parameters of a multilayer perceptron (MLP) that were
specified with set_regularization_params_class_mlpset_regularization_params_class_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpset_regularization_params_class_mlp.
Furthermore, get_regularization_params_class_mlpget_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlp 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_mlpset_regularization_params_class_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpset_regularization_params_class_mlp.
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
MLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control) class_mlp → HClassMlp, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
MLP handle.
GenParamNameGenParamNameGenParamNamegenParamNamegen_param_name (input_control) string → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
Name of the regularization parameter to return.
Default:
'weight_prior'
"weight_prior"
"weight_prior"
"weight_prior"
"weight_prior"
List of values:
'fraction_well_determined_params'"fraction_well_determined_params""fraction_well_determined_params""fraction_well_determined_params""fraction_well_determined_params", 'noise_prior'"noise_prior""noise_prior""noise_prior""noise_prior", 'num_inner_iterations'"num_inner_iterations""num_inner_iterations""num_inner_iterations""num_inner_iterations", 'num_outer_iterations'"num_outer_iterations""num_outer_iterations""num_outer_iterations""num_outer_iterations", 'num_well_determined_params'"num_well_determined_params""num_well_determined_params""num_well_determined_params""num_well_determined_params", 'weight_prior'"weight_prior""weight_prior""weight_prior""weight_prior"
GenParamValueGenParamValueGenParamValuegenParamValuegen_param_value (output_control) number(-array) → HTupleSequence[Union[float, int]]HTupleHtuple (real / integer) (double / int / long) (double / Hlong) (double / Hlong)
Value of the regularization parameter.
Result
If the parameters are valid, the operator
get_regularization_params_class_mlpget_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpget_regularization_params_class_mlp returns the value 2 (
H_MSG_TRUE)
.
If necessary, an exception is raised.
Possible Predecessors
set_regularization_params_class_mlpset_regularization_params_class_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpset_regularization_params_class_mlp,
read_class_mlpread_class_mlpReadClassMlpReadClassMlpread_class_mlp
Possible Successors
train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlptrain_class_mlp
Module
Foundation