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write_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svmT_write_samples_class_svm🔗

Short description🔗

write_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svmT_write_samples_class_svm — Write the training data of a support vector machine to a file.

Signature🔗

write_samples_class_svm( class_svm SVMHandle, filename.write FileName )void WriteSamplesClassSvm( const HTuple& SVMHandle, const HTuple& FileName )static void HOperatorSet.WriteSamplesClassSvm( HTuple SVMHandle, HTuple fileName )def write_samples_class_svm( svmhandle: HHandle, file_name: str ) -> None

Herror T_write_samples_class_svm( const Htuple SVMHandle, const Htuple FileName )

void HClassSvm::WriteSamplesClassSvm( const HString& FileName ) const

void HClassSvm::WriteSamplesClassSvm( const char* FileName ) const

void HClassSvm::WriteSamplesClassSvm( const wchar_t* FileName ) const (Windows only)

void HClassSvm.WriteSamplesClassSvm( string fileName )

Description🔗

write_samples_class_svmWriteSamplesClassSvm writes the training samples currently stored in the support vector machine (SVM) SVMHandleSVMHandlesvmhandle to the file given by FileNamefileNamefile_name. write_samples_class_svmWriteSamplesClassSvm can be used to build up a database of training samples, and hence to improve the performance of the SVM by training it with an extended data set (see train_class_svmTrainClassSvm). The file FileNamefileNamefile_name is overwritten by write_samples_class_svmWriteSamplesClassSvm. Nevertheless, extending the database of training samples is easy to do because read_samples_class_svmReadSamplesClassSvm and add_sample_class_svmAddSampleClassSvm add the training samples to the training samples that are already stored in memory with the SVM.

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🔗

SVMHandleSVMHandlesvmhandle (input_control) class_svm → (handle)HTuple (HHandle)HClassSvm, HTuple (IntPtr)HHandleHtuple (handle)

SVM handle.

FileNamefileNamefile_name (input_control) filename.write → (string)HTuple (HString)HTuple (string)strHtuple (char*)

File name.

Result🔗

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

Combinations with other operators🔗

Combinations

Possible predecessors

add_sample_class_svmAddSampleClassSvm

Possible successors

clear_samples_class_svmClearSamplesClassSvm

See also

create_class_svmCreateClassSvm, get_prep_info_class_svmGetPrepInfoClassSvm, read_samples_class_svmReadSamplesClassSvm

Module🔗

Foundation