read_samples_class_mlpT_read_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp (算子名称)

名称

read_samples_class_mlpT_read_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp — Read the training data of a multilayer perceptron from a file.

参数签名

描述

read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp reads training samples from the file given by FileNameFileNameFileNameFileNamefileNamefile_name and adds them to the training samples that have already been added to the multilayer perceptron (MLP) given by MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle. The MLP must be created with create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpCreateClassMlpcreate_class_mlp before calling read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp. As described with train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlpTrainClassMlptrain_class_mlp and write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp, the operators read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp, add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp, and write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp can be used to build up a extensive set of training samples, and hence to improve the performance of the MLP by retraining the MLP 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 FileNameFileNameFileNameFileNamefileNamefile_name must have the lengths NumInputNumInputNumInputNumInputnumInputnum_input and NumOutputNumOutputNumOutputNumOutputnumOutputnum_output that were specified with create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpCreateClassMlpcreate_class_mlp. If this is not the case an error message is returned.

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。

This operator modifies the state of the following input parameter:

• MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle

During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.

参数表

结果

如果参数均有效，算子 read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp 返回值 2 ( H_MSG_TRUE) . If necessary, an exception is raised.

可能的前置算子

create_class_mlpcreate_class_mlpCreateClassMlpCreateClassMlpCreateClassMlpcreate_class_mlp

可能的后置算子

train_class_mlptrain_class_mlpTrainClassMlpTrainClassMlpTrainClassMlptrain_class_mlp

可替代算子

add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp

参考其它

write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp, clear_samples_class_mlpclear_samples_class_mlpClearSamplesClassMlpClearSamplesClassMlpClearSamplesClassMlpclear_samples_class_mlp

模块

Foundation

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