write_samples_class_gmmT_write_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmm (Operator)
Name
write_samples_class_gmmT_write_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmm — Write the training data of a Gaussian Mixture Model to a file.
Signature
Description
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmm writes the training samples stored
in the Gaussian Mixture Model (GMM) GMMHandleGMMHandleGMMHandleGMMHandleGMMHandle to the file
given by FileNameFileNameFileNameFileNamefileName. write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmm can be
used to build up a database of training samples, and hence to
improve the performance of the GMM by training it with an extended
data set (see train_class_gmmtrain_class_gmmTrainClassGmmTrainClassGmmTrainClassGmm).
The file FileNameFileNameFileNameFileNamefileName is overwritten by
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmm. Nevertheless, extending the
database of training samples is easy because
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmm and add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmmAddSampleClassGmm add
the training samples to the training samples that are already stored
in memory with the GMM.
The created file can be read with read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlp if
the classifier of a multilayer perceptron (MLP) should be
used. The class of a training sample in the GMM corresponds to a
component of the target vector in the MLP being 1.0.
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.
FileNameFileNameFileNameFileNamefileName (input_control) filename.write → HTupleHTupleHtuple (string) (string) (HString) (char*)
File name.
Result
If the parameters are valid, the operator
write_samples_class_gmmwrite_samples_class_gmmWriteSamplesClassGmmWriteSamplesClassGmmWriteSamplesClassGmm returns the value 2 (H_MSG_TRUE). If
necessary an exception is raised.
Possible Predecessors
add_sample_class_gmmadd_sample_class_gmmAddSampleClassGmmAddSampleClassGmmAddSampleClassGmm
Possible Successors
clear_samples_class_gmmclear_samples_class_gmmClearSamplesClassGmmClearSamplesClassGmmClearSamplesClassGmm
See also
create_class_gmmcreate_class_gmmCreateClassGmmCreateClassGmmCreateClassGmm,
read_samples_class_gmmread_samples_class_gmmReadSamplesClassGmmReadSamplesClassGmmReadSamplesClassGmm,
read_samples_class_mlpread_samples_class_mlpReadSamplesClassMlpReadSamplesClassMlpReadSamplesClassMlp,
write_samples_class_mlpwrite_samples_class_mlpWriteSamplesClassMlpWriteSamplesClassMlpWriteSamplesClassMlp
Module
Foundation