get_sample_num_class_mlp🔗
Short description🔗
get_sample_num_class_mlp — Return the number of training samples stored in the training data of
a multilayer perceptron.
Signature🔗
get_sample_num_class_mlp( class_mlp MLPHandle, out integer NumSamples )
Description🔗
get_sample_num_class_mlp returns in NumSamples the
number of training samples that are stored in the multilayer
perceptron (MLP) given by MLPHandle.
get_sample_num_class_mlp should be called before the
individual training samples are accessed with
get_sample_class_mlp, e.g., for the purpose of reclassifying
the training data (see get_sample_class_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.
NumSamples (output_control) integer → (integer)
Number of stored training samples.
Result🔗
If MLPHandle is valid, the operator
get_sample_num_class_mlp returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
Combinations with other operators🔗
Combinations
Possible predecessors
add_sample_class_mlp, read_samples_class_mlp
Possible successors
See also
Module🔗
Foundation