write_samples_class_mlp🔗
Short description🔗
write_samples_class_mlp — Write the training data of a multilayer perceptron to a file.
Signature🔗
write_samples_class_mlp( class_mlp MLPHandle, filename.write FileName )
Description🔗
write_samples_class_mlp writes the training samples stored
in the multilayer perceptron (MLP) MLPHandle to the file
given by FileName. write_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_mlp). For other possible uses of
write_samples_class_mlp see get_prep_info_class_mlp.
The file FileName is overwritten by
write_samples_class_mlp. Nevertheless, extending the
database of training samples is easy to do because
read_samples_class_mlp and add_sample_class_mlp add
the training samples to the training samples that are already stored
in memory with the MLP.
Execution information🔗
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🔗
MLPHandle (input_control) class_mlp → (handle)
MLP handle.
FileName (input_control) filename.write → (string)
File name.
Result🔗
If the parameters are valid, the operator
write_samples_class_mlp returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
Combinations with other operators🔗
Combinations
Possible predecessors
Possible successors
See also
create_class_mlp, get_prep_info_class_mlp, read_samples_class_mlp
Module🔗
Foundation