Name
get_params_class_gmmT_get_params_class_gmmGetParamsClassGmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmm — Return the parameters of a Gaussian Mixture Model.
get_params_class_gmmget_params_class_gmmGetParamsClassGmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmm returns the parameters of a Gaussian
Mixture Model (GMM) that were specified when the GMM was created
with create_class_gmmcreate_class_gmmCreateClassGmmcreate_class_gmmCreateClassGmmCreateClassGmm. This is particularly useful if the
GMM was read with read_class_gmmread_class_gmmReadClassGmmread_class_gmmReadClassGmmReadClassGmm. The output of
get_params_class_gmmget_params_class_gmmGetParamsClassGmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmm can, for example, be used to check
whether the feature vectors and/or the target data to be used have
appropriate dimensions to be used with GMM. For a description of
the parameters, see create_class_gmmcreate_class_gmmCreateClassGmmcreate_class_gmmCreateClassGmmCreateClassGmm.
- Multithreading type: reentrant (runs in parallel with non-exclusive operators).
- Multithreading scope: global (may be called from any thread).
- Processed without parallelization.
Number of dimensions of the feature space.
Number of classes of the GMM.
Minimum number of centers per GMM class.
Maximum number of centers per GMM class.
Type of the covariance matrices.
If the parameters are valid, the operator
get_params_class_gmmget_params_class_gmmGetParamsClassGmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmm returns the value 2 (H_MSG_TRUE). If necessary
an exception is raised.
create_class_gmmcreate_class_gmmCreateClassGmmcreate_class_gmmCreateClassGmmCreateClassGmm,
read_class_gmmread_class_gmmReadClassGmmread_class_gmmReadClassGmmReadClassGmm
add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmm,
train_class_gmmtrain_class_gmmTrainClassGmmtrain_class_gmmTrainClassGmmTrainClassGmm
evaluate_class_gmmevaluate_class_gmmEvaluateClassGmmevaluate_class_gmmEvaluateClassGmmEvaluateClassGmm,
classify_class_gmmclassify_class_gmmClassifyClassGmmclassify_class_gmmClassifyClassGmmClassifyClassGmm
Foundation