get_params_class_svmT_get_params_class_svmGetParamsClassSvmGetParamsClassSvm (Operator)

Name

get_params_class_svmT_get_params_class_svmGetParamsClassSvmGetParamsClassSvm — Return the parameters of a support vector machine.

Signature

get_params_class_svm( : : SVMHandle : NumFeatures, KernelType, KernelParam, Nu, NumClasses, Mode, Preprocessing, NumComponents)

get_params_class_svmget_params_class_svmGetParamsClassSvmGetParamsClassSvmGetParamsClassSvm returns the parameters of a support vector machine (SVM) that were specified when the SVM was created with create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvm. This is particularly useful if the SVM was read from a file with read_class_svmread_class_svmReadClassSvmReadClassSvmReadClassSvm. The output of get_params_class_svmget_params_class_svmGetParamsClassSvmGetParamsClassSvmGetParamsClassSvm can, for example, be used to check whether the feature vectors and, if necessary, the target data to be used with the SVM have the correct lengths. For a description of the parameters, see create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvm.

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

SVMHandleSVMHandleSVMHandleSVMHandleSVMHandle (input_control) class_svm → (handle)

SVM handle.

NumFeaturesNumFeaturesNumFeaturesNumFeaturesnumFeatures (output_control) integer → (integer)

Number of input variables (features) of the SVM.

KernelTypeKernelTypeKernelTypeKernelTypekernelType (output_control) string → (string)

The kernel type.

KernelParamKernelParamKernelParamKernelParamkernelParam (output_control) real → (real)

Additional parameter for the kernel.

NuNuNuNunu (output_control) real → (real)

Regularization constant of the SVM.

NumClassesNumClassesNumClassesNumClassesnumClasses (output_control) integer → (integer)

Number of classes of the test data.

ModeModeModeModemode (output_control) string → (string)

The mode of the SVM.

PreprocessingPreprocessingPreprocessingPreprocessingpreprocessing (output_control) string → (string)

Type of preprocessing used to transform the feature vectors.

NumComponentsNumComponentsNumComponentsNumComponentsnumComponents (output_control) integer → (integer)

Preprocessing parameter: Number of transformed features (ignored for PreprocessingPreprocessingPreprocessingPreprocessingpreprocessing = 'none'"none""none""none""none" and PreprocessingPreprocessingPreprocessingPreprocessingpreprocessing = 'normalization'"normalization""normalization""normalization""normalization").

Result

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