Name
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmm — Clear the training data of a Gaussian Mixture Model.
Herror clear_samples_class_gmm(const Hlong GMMHandle)
Herror T_clear_samples_class_gmm(const Htuple GMMHandle)
Herror clear_samples_class_gmm(const HTuple& GMMHandle)
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmm clears all training samples that
have been stored in the Gaussian Mixture Model (GMM)
GMMHandleGMMHandleGMMHandleGMMHandleGMMHandleGMMHandle. clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmm should only be
used if the GMM is trained in the same process that uses the GMM for
evaluation with evaluate_class_gmmevaluate_class_gmmEvaluateClassGmmevaluate_class_gmmEvaluateClassGmmEvaluateClassGmm or for classification
with classify_class_gmmclassify_class_gmmClassifyClassGmmclassify_class_gmmClassifyClassGmmClassifyClassGmm. In this case, the memory required
for the training samples can be freed with
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmm, 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_gmmwrite_class_gmmWriteClassGmmwrite_class_gmmWriteClassGmmWriteClassGmm, it is typically unnecessary to
call clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmm because write_class_gmmwrite_class_gmmWriteClassGmmwrite_class_gmmWriteClassGmmWriteClassGmm
does not save the training samples, and hence the online process,
which reads the GMM with read_class_gmmread_class_gmmReadClassGmmread_class_gmmReadClassGmmReadClassGmm, requires no memory
for the training samples.
- 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:
The value of this parameter may not be shared across multiple threads without external synchronization.
If the parameters are valid, the operator
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmm returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
train_class_gmmtrain_class_gmmTrainClassGmmtrain_class_gmmTrainClassGmmTrainClassGmm,
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmm
create_class_gmmcreate_class_gmmCreateClassGmmcreate_class_gmmCreateClassGmmCreateClassGmm,
clear_class_gmmclear_class_gmmClearClassGmmclear_class_gmmClearClassGmmClearClassGmm,
add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmm,
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmm
Foundation