write_samples_class_mlpwrite_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp (Operator)

Name

write_samples_class_mlpwrite_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp — Write the training data of a multilayer perceptron to a file.

Signature

write_samples_class_mlp( : : MLPHandle, FileName : )

write_samples_class_mlpwrite_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp writes the training samples stored in the multilayer perceptron (MLP) MLPHandleMLPHandleMLPHandleMLPHandleMLPHandle to the file given by FileNameFileNameFileNameFileNamefileName. write_samples_class_mlpwrite_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp can be used to build up a database of training samples, and hence to improve the performance of the MLP by training it with an extended data set (see train_class_mlptrain_class_mlptrain_class_mlpTrainClassMlpTrainClassMlp). For other possible uses of write_samples_class_mlpwrite_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp see get_prep_info_class_mlpget_prep_info_class_mlpget_prep_info_class_mlpGetPrepInfoClassMlpGetPrepInfoClassMlp.

The file FileNameFileNameFileNameFileNamefileName is overwritten by write_samples_class_mlpwrite_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlp. Nevertheless, extending the database of training samples is easy to do because read_samples_class_mlpread_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlp and add_sample_class_mlpadd_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlp add the training samples to the training samples that are already stored in memory with the MLP.

Parallelization

Multithreading type: reentrant (runs in parallel with non-exclusive operators).
Multithreading scope: global (may be called from any thread).
Processed without parallelization.

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandle (input_control) class_mlp → (integer)

MLP handle.

FileNameFileNameFileNameFileNamefileName (input_control) filename.write → (string)

File name.

Result

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