read_samples_class_svmread_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvm (Operator)

Name

read_samples_class_svmread_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvm — Read the training data of a support vector machine from a file.

Signature

Description

read_samples_class_svmread_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvm reads training samples from the file given by FileNameFileNameFileNameFileNamefileName and adds them to the training samples that have already been added to the support vector machine (SVM) given by SVMHandleSVMHandleSVMHandleSVMHandleSVMHandle. The SVM must be created with create_class_svmcreate_class_svmcreate_class_svmCreateClassSvmCreateClassSvm before calling read_samples_class_svmread_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvm. As described with train_class_svmtrain_class_svmtrain_class_svmTrainClassSvmTrainClassSvm and write_samples_class_svmwrite_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm, the operators read_samples_class_svmread_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvm, add_sample_class_svmadd_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvm, and write_samples_class_svmwrite_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm can be used to build up a extensive set of training samples, and hence to improve the performance of the SVM by retraining the SVM with extended data sets.

It should be noted that the training samples must have the correct dimensionality. The feature vectors and target vectors stored in FileNameFileNameFileNameFileNamefileName must have the lengths NumFeatures and NumClasses that were specified with create_class_svmcreate_class_svmcreate_class_svmCreateClassSvmCreateClassSvm. The target is stored in vector form for compability reason with the MLP (see read_samples_class_mlpread_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlp). If the dimensions are incorrect an error message is returned.

Parallelization

• Multithreading type: exclusive (runs in parallel only with independent operators).
• Multithreading scope: global (may be called from any thread).
• Processed without parallelization.

Parameters

Result

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

Possible Predecessors

create_class_svmcreate_class_svmcreate_class_svmCreateClassSvmCreateClassSvm

Possible Successors

train_class_svmtrain_class_svmtrain_class_svmTrainClassSvmTrainClassSvm

Alternatives

add_sample_class_svmadd_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvm

See also

write_samples_class_svmwrite_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvm, clear_samples_class_svmclear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvm

Module

Foundation