clear_samples_class_gmm🔗
Short description🔗
clear_samples_class_gmm — Clear the training data of a Gaussian Mixture Model.
Signature🔗
clear_samples_class_gmm( class_gmm GMMHandle )
Description🔗
clear_samples_class_gmm clears all training samples that
have been stored in the Gaussian Mixture Model (GMM)
GMMHandle. clear_samples_class_gmm should only be
used if the GMM is trained in the same process that uses the GMM for
evaluation with evaluate_class_gmm or for classification
with classify_class_gmm. In this case, the memory required
for the training samples can be freed with
clear_samples_class_gmm, and hence memory can be saved. In
the normal usage, in which the GMM is trained offline and written to
a file with write_class_gmm, it is typically unnecessary to
call clear_samples_class_gmm because write_class_gmm
does not save the training samples, and hence the online process,
which reads the GMM with read_class_gmm, requires no memory
for the training samples.
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.
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.
Parameters🔗
GMMHandle (input_control, state is modified) class_gmm(-array) → (handle)
GMM handle.
Result🔗
If the parameters are valid, the operator
clear_samples_class_gmm returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
Combinations with other operators🔗
Combinations
Possible predecessors
train_class_gmm, write_samples_class_gmm
See also
create_class_gmm, clear_class_gmm, add_sample_class_gmm, read_samples_class_gmm
Module🔗
Foundation