write_samples_class_svmT_write_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm (算子名称)
名称
write_samples_class_svmT_write_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm — Write the training data of a support vector machine to a file.
参数签名
描述
write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm writes the training samples
currently stored in the support vector machine (SVM)
SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle to the file given by FileNameFileNameFileNameFileNamefileNamefile_name.
write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm 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_svmTrainClassSvmTrainClassSvmTrainClassSvmtrain_class_svm). The file FileNameFileNameFileNameFileNamefileNamefile_name is overwritten
by write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_class_svm. Nevertheless, extending the
database of training samples is easy to do because
read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm and add_sample_class_svmadd_sample_class_svmAddSampleClassSvmAddSampleClassSvmAddSampleClassSvmadd_sample_class_svm add
the training samples to the training samples that are already stored
in memory with the 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
SVMHandleSVMHandleSVMHandleSVMHandleSVMHandlesvmhandle (input_control) class_svm → HClassSvm, HTupleHHandleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
SVM handle.
FileNameFileNameFileNameFileNamefileNamefile_name (input_control) filename.write → HTuplestrHTupleHtuple (string) (string) (HString) (char*)
File name.
结果
If the parameters are valid 该算子
write_samples_class_svmwrite_samples_class_svmWriteSamplesClassSvmWriteSamplesClassSvmWriteSamplesClassSvmwrite_samples_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
可能的后置算子
clear_samples_class_svmclear_samples_class_svmClearSamplesClassSvmClearSamplesClassSvmClearSamplesClassSvmclear_samples_class_svm
参考其它
create_class_svmcreate_class_svmCreateClassSvmCreateClassSvmCreateClassSvmcreate_class_svm,
get_prep_info_class_svmget_prep_info_class_svmGetPrepInfoClassSvmGetPrepInfoClassSvmGetPrepInfoClassSvmget_prep_info_class_svm,
read_samples_class_svmread_samples_class_svmReadSamplesClassSvmReadSamplesClassSvmReadSamplesClassSvmread_samples_class_svm
模块
Foundation