read_samples_class_gmm — Read the training data of a Gaussian Mixture Model from a file.
read_samples_class_gmm reads training samples from the file given by FileName and adds them to the training samples that have already been stored in the Gaussian Mixture Model (GMM) given by GMMHandle. The GMM must be created with create_class_gmm before calling read_samples_class_gmm. As described with train_class_gmm and write_samples_class_gmm, read_samples_class_gmm, add_sample_class_gmm, and write_samples_class_gmm can be used to build up a database of training samples, and hence to improve the performance of the GMM by retraining the GMM with extended data sets.
It should be noted that the training samples must have the correct dimensionality. The feature vectors stored in FileName must have the lengths NumDim that was specified with create_class_gmm, and enough classes must have been created in create_class_gmm. If this is not the case, an error message is returned.
It is possible to read files of samples that were written with write_samples_class_svm or write_samples_class_mlp.
This operator modifies the state of the following input parameter:
If the parameters are valid, the operator read_samples_class_gmm returns the value 2 (H_MSG_TRUE). If necessary an exception is raised.
write_samples_class_gmm, write_samples_class_mlp, clear_samples_class_gmm