get_sample_num_class_svmT_get_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmget_sample_num_class_svm (算子名称)

名称

get_sample_num_class_svmT_get_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmget_sample_num_class_svm — Return the number of training samples stored in the training data of a support vector machine.

参数签名

描述

get_sample_num_class_svmget_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmGetSampleNumClassSvmget_sample_num_class_svm returns in NumSamplesNumSamplesNumSamplesNumSamplesnumSamplesnum_samples the number of training samples that are stored in the support vector machine (SVM) given by SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle. get_sample_num_class_svmget_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmGetSampleNumClassSvmget_sample_num_class_svm should be called before the individual training samples are accessed with get_sample_class_svmget_sample_class_svmGetSampleClassSvmGetSampleClassSvmGetSampleClassSvmget_sample_class_svm, e.g., for the purpose of reclassifying the training data (see get_sample_class_svmget_sample_class_svmGetSampleClassSvmGetSampleClassSvmGetSampleClassSvmget_sample_class_svm).

运行信息

• 多线程类型:可重入(与非独占操作符并行运行)。
• 多线程作用域:全局(可以从任何线程调用)。
• 未经并行化处理。

参数表

结果

If SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle is valid 该算子 get_sample_num_class_svmget_sample_num_class_svmGetSampleNumClassSvmGetSampleNumClassSvmGetSampleNumClassSvmget_sample_num_class_svm 返回值 2 ( H_MSG_TRUE) . If necessary, an exception is raised.

可能的前置算子

add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvmadd_sample_class_svm, read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm

可能的后置算子

get_sample_class_svmget_sample_class_svmGetSampleClassSvmGetSampleClassSvmGetSampleClassSvmget_sample_class_svm

参考其它

create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm

模块

Foundation