write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm (Operator)

Name

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

Signature

write_samples_class_svm( : : SVMHandle, FileName : )

Description

write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm writes the training samples currently stored in the support vector machine (SVM) SVMHandleSVMHandleSVMHandleSVMHandleSVMHandleSVMHandle to the file given by FileNameFileNameFileNameFileNameFileNamefileName. write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm 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_svmtrain_class_svmTrainClassSvmtrain_class_svmTrainClassSvmTrainClassSvm). The file FileNameFileNameFileNameFileNameFileNamefileName is overwritten by write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm. Nevertheless, extending the database of training samples is easy to do because read_samples_class_svmread_samples_class_svmReadSamplesClassSvmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvm and add_sample_class_svmadd_sample_class_svmAddSampleClassSvmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvm add the training samples to the training samples that are already stored in memory with the SVM.

Parallelization

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

Parameters

SVMHandleSVMHandleSVMHandleSVMHandleSVMHandleSVMHandle (input_control) class_svm → (integer)

SVM handle.

FileNameFileNameFileNameFileNameFileNamefileName (input_control) filename.write → (string)

File name.

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