Name
get_regularization_params_class_mlpT_get_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlp — Return the regularization parameters of a multilayer perceptron.
get_regularization_params_class_mlpget_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlp returns the
regularization parameters of a multilayer perceptron (MLP) that were
specified with set_regularization_params_class_mlpset_regularization_params_class_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlp.
Furthermore, get_regularization_params_class_mlpget_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlp 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_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlp.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Name of the regularization parameter to return.
Default value:
'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"
Value of the regularization parameter.
If the parameters are valid, the operator
get_regularization_params_class_mlpget_regularization_params_class_mlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlpGetRegularizationParamsClassMlp returns the value 2 (H_MSG_TRUE).
If necessary, an exception is raised.
set_regularization_params_class_mlpset_regularization_params_class_mlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlpSetRegularizationParamsClassMlp,
read_class_mlpread_class_mlpReadClassMlpReadClassMlpReadClassMlp
train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlpTrainClassMlp
Foundation