clear_samples_class_svmT_clear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm (算子)

名称

clear_samples_class_svmT_clear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm — 清除支持向量机的训练数据。

签名

描述

clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm clears all training samples that have been added to the support vector machine (SVM) SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle with add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvmadd_sample_class_svm or read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm。clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm should only be used if the SVM is trained in the same process that uses the SVM for classification with classify_class_svmclassify_class_svmClassifyClassSvmClassifyClassSvmClassifyClassSvmclassify_class_svm。In this case, the memory required for the training samples can be freed with clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm, and hence memory can be saved. In the normal usage, in which the SVM is trained offline and written to a file with write_class_svmwrite_class_svmWriteClassSvmWriteClassSvmWriteClassSvmwrite_class_svm, it is typically unnecessary to call clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm because write_class_svmwrite_class_svmWriteClassSvmWriteClassSvmWriteClassSvmwrite_class_svm does not save the training samples, and hence the online process, which reads the SVM with read_class_svmread_class_svmReadClassSvmReadClassSvmReadClassSvmread_class_svm, requires no memory for the training samples.

执行信息

• 多线程类型：可重入（与非独占算子并行运行）。
• 多线程作用域：全局（可从任何线程调用）。
• 未采用并行化处理。

此算子修改后续输入参数的状态：

• SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle

在执行此算子时，若该参数值需在多个线程间使用，则必须对其访问进行同步。

参数

结果

如果参数有效，算子 clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm 返回值 2 ( H_MSG_TRUE )。如有必要，则抛出异常。

可能的前趋

train_class_svmtrain_class_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm, write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm

另见

create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm, clear_class_svmclear_class_svmClearClassSvmClearClassSvmClearClassSvmclear_class_svm, add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvmadd_sample_class_svm, read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm

模块

基础