get_params_class_gmmT_get_params_class_gmmGetParamsClassGmmGetParamsClassGmm (Operator)
Name
get_params_class_gmmT_get_params_class_gmmGetParamsClassGmmGetParamsClassGmm — Return the parameters of a Gaussian Mixture Model.
Signature
Description
get_params_class_gmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmmGetParamsClassGmm returns the parameters of a Gaussian
Mixture Model (GMM) that were specified when the GMM was created
with create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmm. This is particularly useful if the
GMM was read with read_class_gmmread_class_gmmReadClassGmmReadClassGmmReadClassGmm. The output of
get_params_class_gmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmmGetParamsClassGmm 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_gmmCreateClassGmmCreateClassGmmCreateClassGmm.
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
GMMHandleGMMHandleGMMHandleGMMHandleGMMHandle (input_control) class_gmm → HClassGmm, HTupleHTupleHtuple (handle) (IntPtr) (HHandle) (handle)
GMM handle.
NumDimNumDimNumDimNumDimnumDim (output_control) integer → HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Number of dimensions of the feature space.
NumClassesNumClassesNumClassesNumClassesnumClasses (output_control) integer → HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Number of classes of the GMM.
MinCentersMinCentersMinCentersMinCentersminCenters (output_control) integer-array → HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Minimum number of centers per GMM class.
MaxCentersMaxCentersMaxCentersMaxCentersmaxCenters (output_control) integer-array → HTupleHTupleHtuple (integer) (int / long) (Hlong) (Hlong)
Maximum number of centers per GMM class.
CovarTypeCovarTypeCovarTypeCovarTypecovarType (output_control) string → HTupleHTupleHtuple (string) (string) (HString) (char*)
Type of the covariance matrices.
Result
If the parameters are valid, the operator
get_params_class_gmmget_params_class_gmmGetParamsClassGmmGetParamsClassGmmGetParamsClassGmm returns the value 2 (H_MSG_TRUE). If necessary
an exception is raised.
Possible Predecessors
create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmm,
read_class_gmmread_class_gmmReadClassGmmReadClassGmmReadClassGmm
Possible Successors
add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmmAddSampleClassGmm,
train_class_gmmtrain_class_gmmTrainClassGmmTrainClassGmmTrainClassGmm
See also
evaluate_class_gmmevaluate_class_gmmEvaluateClassGmmEvaluateClassGmmEvaluateClassGmm,
classify_class_gmmclassify_class_gmmClassifyClassGmmClassifyClassGmmClassifyClassGmm
Module
Foundation