Name
get_params_class_svmget_params_class_svmGetParamsClassSvmget_params_class_svmGetParamsClassSvmGetParamsClassSvm — Return the parameters of a support vector machine.
Herror get_params_class_svm(const Hlong SVMHandle, Hlong* NumFeatures, char* KernelType, double* KernelParam, double* Nu, Hlong* NumClasses, char* Mode, char* Preprocessing, Hlong* NumComponents)
Herror T_get_params_class_svm(const Htuple SVMHandle, Htuple* NumFeatures, Htuple* KernelType, Htuple* KernelParam, Htuple* Nu, Htuple* NumClasses, Htuple* Mode, Htuple* Preprocessing, Htuple* NumComponents)
Herror get_params_class_svm(const HTuple& SVMHandle, Hlong* NumFeatures, char* KernelType, double* KernelParam, double* Nu, Hlong* NumClasses, char* Mode, char* Preprocessing, Hlong* NumComponents)
Hlong HClassSvm::GetParamsClassSvm(HTuple* KernelType, HTuple* KernelParam, HTuple* Nu, HTuple* NumClasses, HTuple* Mode, HTuple* Preprocessing, HTuple* NumComponents) const
void GetParamsClassSvm(const HTuple& SVMHandle, HTuple* NumFeatures, HTuple* KernelType, HTuple* KernelParam, HTuple* Nu, HTuple* NumClasses, HTuple* Mode, HTuple* Preprocessing, HTuple* NumComponents)
Hlong HClassSvm::GetParamsClassSvm(HString* KernelType, double* KernelParam, double* Nu, Hlong* NumClasses, HString* Mode, HString* Preprocessing, Hlong* NumComponents) const
void HOperatorSetX.GetParamsClassSvm(
[in] VARIANT SVMHandle, [out] VARIANT* NumFeatures, [out] VARIANT* KernelType, [out] VARIANT* KernelParam, [out] VARIANT* Nu, [out] VARIANT* NumClasses, [out] VARIANT* Mode, [out] VARIANT* Preprocessing, [out] VARIANT* NumComponents)
Hlong HClassSvmX.GetParamsClassSvm(
[out] BSTR* KernelType, [out] double* KernelParam, [out] double* Nu, [out] Hlong* NumClasses, [out] BSTR* Mode, [out] BSTR* Preprocessing, [out] Hlong* NumComponents)
static void HOperatorSet.GetParamsClassSvm(HTuple SVMHandle, out HTuple numFeatures, out HTuple kernelType, out HTuple kernelParam, out HTuple nu, out HTuple numClasses, out HTuple mode, out HTuple preprocessing, out HTuple numComponents)
int HClassSvm.GetParamsClassSvm(out string kernelType, out double kernelParam, out double nu, out int numClasses, out string mode, out string preprocessing, out int numComponents)
get_params_class_svmget_params_class_svmGetParamsClassSvmget_params_class_svmGetParamsClassSvmGetParamsClassSvm returns the parameters of a support
vector machine (SVM) that were specified when the SVM was created
with create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm. This is particularly useful if the
SVM was read from a file with read_class_svmread_class_svmReadClassSvmread_class_svmReadClassSvmReadClassSvm. The output of
get_params_class_svmget_params_class_svmGetParamsClassSvmget_params_class_svmGetParamsClassSvmGetParamsClassSvm 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_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Number of input variables (features) of the SVM.
Additional parameter for the kernel.
NuNuNuNuNunu (output_control) real → HTupleHTupleHTupleVARIANTHtuple (real) (double) (double) (double) (double) (double)
Regularization constant of the SVM.
Number of classes of the test data.
Type of preprocessing used to transform the
feature vectors.
If the parameters are valid the operator
get_params_class_svmget_params_class_svmGetParamsClassSvmget_params_class_svmGetParamsClassSvmGetParamsClassSvm returns the value 2 (H_MSG_TRUE). If necessary,
an exception is raised.
create_class_svmcreate_class_svmCreateClassSvmcreate_class_svmCreateClassSvmCreateClassSvm,
read_class_svmread_class_svmReadClassSvmread_class_svmReadClassSvmReadClassSvm
add_sample_class_svmadd_sample_class_svmAddSampleClassSvmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvm,
train_class_svmtrain_class_svmTrainClassSvmtrain_class_svmTrainClassSvmTrainClassSvm
classify_class_svmclassify_class_svmClassifyClassSvmclassify_class_svmClassifyClassSvmClassifyClassSvm
Foundation