clear_samples_class_mlp — Clear the training data of a multilayer perceptron.
clear_samples_class_mlp( : : MLPHandle : )
clear_samples_class_mlp clears all training samples that
have been added to the multilayer perceptron (MLP)
should only be used if the MLP is trained in the same process that
uses the MLP for evaluation with
evaluate_class_mlp or for
classify_class_mlp. In this case, the
memory required for the training samples can be freed with
clear_samples_class_mlp, and hence memory can be saved. In
the normal usage, in which the MLP is trained offline and written to
a file with
write_class_mlp, it is typically unnecessary to
does not save the training samples, and hence the online process,
which reads the MLP with
read_class_mlp, requires no memory
for the training samples.
This operator modifies the state of the following input parameter:
During execution of this operator, access to the value of this parameter must be synchronized if it is used across multiple threads.
MLPHandle(input_control, state is modified) class_mlp(-array)
If the parameters are valid, the operator
clear_samples_class_mlp returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.