write_samples_class_mlpT_write_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp (Operator)

Name

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

Signature

write_samples_class_mlp( : : MLPHandle, FileName : )

Description

write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp writes the training samples stored in the multilayer perceptron (MLP) MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle to the file given by FileNameFileNameFileNameFileNamefileNamefile_name. write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp 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_mlpTrainClassMlpTrainClassMlpTrainClassMlptrain_class_mlp). For other possible uses of write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp see get_prep_info_class_mlpget_prep_info_class_mlpGetPrepInfoClassMlpGetPrepInfoClassMlpGetPrepInfoClassMlpget_prep_info_class_mlp.

The file FileNameFileNameFileNameFileNamefileNamefile_name is overwritten by write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp. Nevertheless, extending the database of training samples is easy to do because read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlpread_samples_class_mlp and add_sample_class_mlpadd_sample_class_mlpAddSampleClassMlpAddSampleClassMlpAddSampleClassMlpadd_sample_class_mlp add the training samples to the training samples that are already stored in memory with the MLP.

Execution Information

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

Parameters

MLPHandleMLPHandleMLPHandleMLPHandleMLPHandlemlphandle (input_control) class_mlp → (handle)

MLP handle.

FileNameFileNameFileNameFileNamefileNamefile_name (input_control) filename.write → (string)

File name.

Result

If the parameters are valid, the operator write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlpwrite_samples_class_mlp returns the value TRUE. If necessary an exception is raised.